#Network Emulator Analysis

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Part 5: The Potential for All For One Copycats and Miscellaneous Impacts in Post-Manga My Hero Academia

This analysis explores the likelihood of copycat villains emerging in the wake of All For One’s (AFO) defeat in My Hero Academia, considering his immense power and influence, and the societal conditions that persist post-manga. It evaluates the factors that could inspire or enable copycats, the mechanisms through which they might emulate AFO, and the broader implications for the world. Additionally, it addresses miscellaneous impacts of AFO’s legacy, including societal, cultural, and systemic effects not covered in prior analyses. This examination remains thorough, grounded in the series’ narrative, and accounts for the persistent societal flaws highlighted in the manga’s epilogue.

Context: AFO’s Legacy and Post-Manga World

AFO’s Defeat and Influence

All For One, the “Symbol of Evil,” was a towering figure whose Quirk-stealing ability, manipulative genius, and century-long influence shaped My Hero Academia’s world. His defeat in the Final War Arc—via physical erasure by Eri’s Rewind Quirk, vestige destruction by Izuku Midoriya, and the disintegration of Tomura Shigaraki’s body—marks a significant victory for hero society. However, the epilogue reveals that many societal issues persist:

Corrupt Institutions: The Hero Public Safety Commission (HPSC) undergoes reform attempts (e.g., Hawks’ efforts), but its history of corruption (e.g., Lady Nagant’s assassinations, Hawks’ training) suggests lingering vulnerabilities.

Quirk Singularity Theory: Dr. Kyudai Garaki’s theory, predicting Quirks growing increasingly powerful and unstable, is confirmed, raising the risk of god-like abilities emerging.

Villain Ideologies: Groups like the Meta Liberation Army (MLA) and figures inspired by Stain’s philosophy continue to influence villains, as seen with Spinner’s book documenting the League of Villains’ actions.

Societal Discontent: Despite hero reforms, Quirk-based discrimination and neglect of vulnerable individuals (e.g., Tenko Shimura’s backstory) persist, creating fertile ground for villainy.

AFO’s influence, through his actions (e.g., Villain Factory, Nomu) and ideology of power over morality, leaves a lasting imprint, making copycats not only possible but likely.

Post-Manga Setting

The epilogue, set eight years after the Final War Arc, depicts a world recovering but still flawed:

Hero Society: Heroes like Izuku (now Quirkless, teaching at U.A.), Bakugo, and Todoroki lead a new generation, but the hero system is strained by societal changes and Quirk evolution.

Villain Activity: While major threats like the League of Villains are dismantled, smaller villain groups and lone actors persist, inspired by AFO’s legacy or Spinner’s writings.

Global Context: International hero cooperation increases, but AFO’s global network (e.g., delaying foreign heroes) suggests residual influence abroad.

This setting provides the backdrop for assessing the potential for AFO copycats and miscellaneous impacts of his legacy.

Could There Be Many Copycats?

Factors Enabling Copycats

Several factors in the post-manga world make the emergence of AFO-inspired copycats highly plausible:

1. AFO’s Mythic Status

Symbol of Evil: AFO’s reputation as the ultimate villain, akin to a comic book Demon Lord, inspires awe and fear. His defeat, while a heroic triumph, elevates him to a legendary figure, much like Stain’s arrest video inspired villains like Spinner and Toga.

Spinner’s Book: The epilogue notes that Spinner, a former League member, publishes a book detailing the League’s actions and AFO’s influence. This text could serve as a manifesto, inspiring disaffected individuals to emulate AFO’s power-grabbing tactics or ideology.

Cultural Impact: AFO’s philosophy of might over right resonates with those marginalized by hero society, particularly in a world where Quirk discrimination persists. His charisma and success make him a model for aspiring villains.

2. Quirk Singularity Theory

Evolving Quirks: The Quirk Singularity Theory predicts that Quirks will become increasingly powerful, potentially producing abilities rivaling AFO’s All For One. A copycat could develop a Quirk-stealing or power-accumulating ability, mirroring AFO’s capabilities.

Precedent for Similar Quirks: The manga shows Quirks with parallel mechanics, such as Overhaul’s ability to manipulate matter or New Order’s reality-altering power. A naturally occurring Quirk-stealing ability is plausible, especially as Quirks grow more complex.

Technological Amplification: AFO’s Villain Factory and Dr. Garaki’s experiments (e.g., Trigger, Nomu) provide a blueprint for artificially creating or enhancing Quirks, potentially allowing a copycat to replicate AFO’s powers through science.

3. Persistent Societal Flaws

HPSC Corruption: Despite reforms, the HPSC’s history of unethical practices (e.g., grooming Hawks, commissioning assassinations) suggests that corrupt elements could persist, providing resources or cover for a copycat. A rogue HPSC official could access Quirk registries or experimental tech to emulate AFO.

Social Discontent: The neglect of individuals like Tenko Shimura, combined with ongoing Quirk discrimination, creates a pool of disenfranchised people susceptible to AFO’s ideology. A charismatic copycat could rally them, as AFO did with his followers.

Villain Networks: AFO’s global connections and surviving allies (e.g., Jailbreakers from Tartarus, remnants of the Villain Factory) could support a copycat, providing resources, knowledge, or manpower.

4. Precedents for Emulation

Stain’s Legacy: Stain’s ideology inspired a wave of villains (e.g., Spinner, Toga, Dabi), showing how a single figure’s philosophy can spark copycats. AFO’s broader influence and tangible power make him an even more compelling model.

Meta Liberation Army: The MLA’s persistence, even after Re-Destro’s defeat, demonstrates that villain ideologies endure. A copycat could revive or adapt AFO’s vision, blending it with MLA principles of Quirk liberation.

Villain Factory: AFO’s experiments with Number 6 and Trigger show that his methods are replicable. A scientist or villain with access to similar resources could create a new AFO-like figure.

Mechanisms for Copycat Emergence

Copycats could emulate AFO through various means, each grounded in the series’ mechanics:

1. Natural Quirk Development

Spontaneous Quirk: The Quirk Singularity Theory suggests a new villain could naturally develop a Quirk-stealing or power-accumulating ability. For example, a Quirk that absorbs or mimics others’ abilities could emerge, akin to Vermillion’s Power Copying Semblance from prior discussions.

Examples: A Quirk like Nine’s ability to wield multiple Quirks or Monoma’s Copy could evolve into a more permanent, AFO-like power. The manga’s emphasis on Quirk evolution supports this possibility.

2. Scientific Replication

Dr. Garaki’s Legacy: Garaki’s work on Nomu, Trigger, and Quirk duplication could be continued by a rogue scientist (e.g., a surviving Villain Factory member or HPSC affiliate). The Jaku General Hospital lab, though destroyed, sets a precedent for such experiments.

Quirk-Destroying Drug: AFO’s reverse-engineering of Overhaul’s Quirk-erasing drug shows that Quirks can be manipulated artificially. A copycat could develop a Quirk-stealing serum or device, using HPSC or black-market resources.

Nomu Technology: Creating a Nomu with AFO’s Quirk or consciousness, as speculated in Part 2, could produce a copycat entity, especially if Garaki’s notes or facilities survive.

3. Ideological Successors

Charismatic Leaders: A villain inspired by AFO’s philosophy could adopt his manipulative tactics without his Quirk. For example, a figure like Re-Destro, with MLA resources, could emulate AFO’s shadow rule, using charisma and strategy to amass power.

Spinner’s Influence: Spinner’s book could inspire a new generation of villains to mimic AFO’s methods, such as building networks or exploiting societal flaws. A charismatic copycat could rally these followers, as AFO did with the League.

4. HPSC or Criminal Networks

Rogue HPSC Operative: A corrupt HPSC member with access to Quirk registries or experimental tech could emulate AFO, stealing or enhancing Quirks to build power. The HPSC’s history of secrecy makes this plausible.

Jailbreakers and Allies: Surviving Jailbreakers (e.g., Lady Nagant, before her redemption) or AFO’s global contacts could support a copycat, providing resources or loyalty. The Tartarus breakout shows AFO’s ability to mobilize powerful allies.

Potential Copycat Profiles

Mad Scientist: A Garaki-like figure, using Villain Factory remnants or HPSC labs, creates a Quirk-stealing device or bio-engineered villain, mirroring AFO’s Nomu experiments.

Charismatic Ideologue: A villain inspired by Spinner’s book or AFO’s legend adopts his philosophy, building a new League-like group to challenge hero society.

Quirk Prodigy: A young villain with a naturally evolved Quirk-stealing ability emerges, driven by AFO’s mythos to surpass him.

HPSC Traitor: A high-ranking HPSC official, disillusioned like Lady Nagant, uses their authority to replicate AFO’s tactics, accessing Quirks or resources covertly.

International Warlord: A foreign villain, part of AFO’s global network, adopts his methods, using advanced Quirks to dominate their region and challenge Japan’s heroes.

Likelihood of Many Copycats

High Potential: The combination of AFO’s mythic status, the Quirk Singularity Theory, persistent societal flaws, and existing villain networks makes multiple copycats likely. The manga’s epilogue suggests that villainy persists, with Spinner’s book amplifying AFO’s influence.

Scale and Impact: While one or two copycats might achieve significant power (e.g., a Quirk-stealing prodigy), many would likely be lesser imitators, adopting AFO’s ideology or tactics without his full capabilities. The MLA’s widespread membership and Stain’s broad influence suggest a wave of smaller-scale copycats is plausible.

Counterforces: Heroes like Izuku, Bakugo, and Todoroki, along with global cooperation, would work to suppress copycats. However, the HPSC’s vulnerabilities and Quirk evolution could delay or complicate these efforts.

Miscellaneous Impacts of AFO’s Legacy

Societal Impacts

Quirk Regulation Challenges: The Quirk Singularity Theory’s confirmation forces hero society to implement stricter Quirk regulations, potentially alienating citizens and fueling copycat ideologies. AFO’s experiments (e.g., Trigger) set a precedent for unregulated Quirk enhancement, inspiring rogue scientists or villains.

Persistent Fear: AFO’s reign as the Symbol of Evil leaves a cultural scar, with the public fearing another AFO-like figure. This fear could undermine trust in heroes, as seen during the Paranormal Liberation War Arc.

Disenfranchised Youth: AFO’s manipulation of figures like Tenko Shimura highlights society’s failure to support vulnerable individuals. Post-manga, this issue persists, providing copycats with a pool of recruits, as seen with the K3 Gang’s initial villain worship in prior discussions.

Cultural Impacts

Villain Mythology: AFO’s Demon Lord persona, inspired by Captain Hero comics, becomes a cultural archetype, romanticized by some as a symbol of rebellion against hero society. Spinner’s book amplifies this, potentially inspiring fanatical copycats.

Heroic Backlash: The rise of copycats strengthens the resolve of heroes like Izuku, who teach the next generation to counter AFO’s ideology. This creates a cultural tug-of-war between heroic altruism and villainous power, echoing AFO’s conflict with Yoichi.

Media Influence: The media, which once glorified All Might, might sensationalize AFO’s legacy, inadvertently inspiring copycats. This mirrors how Stain’s arrest video fueled villainy, as discussed previously.

Systemic Impacts

HPSC Reforms: Hawks’ attempts to reform the HPSC face resistance from entrenched corruption, as noted in prior conversations. AFO’s influence over corrupt officials (e.g., pre-reform HPSC) suggests that copycats could exploit similar vulnerabilities, accessing resources or intelligence.

Villain Networks: Remnants of AFO’s network (e.g., Villain Factory, Jailbreakers) persist, providing infrastructure for copycats. The destruction of Jaku General Hospital and Gunga Mountain Villa does not eliminate all of AFO’s safe houses or allies, as speculated in Part 2.

Global Ramifications: AFO’s international connections, used to delay foreign heroes, could support copycats abroad. A foreign villain emulating AFO might destabilize regions with weaker hero systems, challenging global stability.

Economic Impacts

Black Market Growth: AFO’s Quirk trafficking and Trigger experiments created a black market for abilities, which likely persists post-manga. Copycats could exploit this market, trading stolen Quirks or enhancing their own, as seen with Onomura Pharma Corp.’s role in prior discussions.

Economic Strain: The cost of rebuilding after the Final War Arc strains hero society’s resources, potentially limiting responses to copycats. AFO’s fronts like Koga Constructions set a precedent for villains using legitimate businesses to fund operations.

Miscellaneous Threats

Humarise and MLA 2.0: As mentioned in prior conversations, groups like Humarise (anti-Quirk extremists) and the MLA could resurge, inspired by AFO’s legacy or Spinner’s book. A copycat might align with these groups, blending AFO’s Quirk-stealing tactics with their ideologies.

CRC Reemergence: The Creature Rejection Clan (CRC), driven by anti-heteromorph sentiment, could exploit post-war chaos to return, potentially aligning with a copycat who uses AFO’s philosophy to rally marginalized groups.

Eldritch Quirks: The Quirk Singularity Theory’s implication of “god-like” or “eldritch” Quirks, as noted previously, could produce copycats with powers rivaling AFO’s, posing existential threats to hero society.

Challenges to Copycats

Heroic Response: Heroes like Izuku, now a teacher, and Class 1-A graduates (e.g., Bakugo, Todoroki) are vigilant, trained to counter AFO-like threats. Global hero cooperation, strengthened post-war, could suppress copycats early.

Resource Scarcity: While AFO had access to vast resources, copycats may lack his infrastructure, limiting their scale. The destruction of key facilities (e.g., Jaku Hospital, Gunga Villa) hinders replication of his methods.

Ideological Resistance: AFO’s defeat reinforces heroic ideals, inspiring a generation to reject his philosophy. Copycats would face cultural pushback from a society valuing All Might’s legacy.

Quirk Instability: The Quirk Singularity Theory suggests that powerful Quirks could destabilize their users, potentially causing copycats to self-destruct, as seen with AFO’s Rewind overuse.

Conclusion

The post-manga world of My Hero Academia is ripe for All For One copycats due to his mythic status, the Quirk Singularity Theory, persistent societal flaws, and surviving villain networks. Copycats could emerge through natural Quirk development, scientific replication, ideological succession, or exploitation of corrupt systems like the HPSC. They might range from powerful Quirk-stealing prodigies to lesser imitators inspired by Spinner’s book. AFO’s legacy also manifests in miscellaneous impacts: societal fear, cultural villain worship, systemic vulnerabilities, and economic strain. While heroes and reforms counter these threats, the potential for Humarise, MLA, or CRC resurgence, combined with increasingly powerful Quirks, ensures that AFO’s influence lingers, challenging hero society’s stability and setting the stage for new conflicts.

[pranjaldalvi]

Neuromorphic Chip Market Drivers Fueling Innovation in AI and Edge Computing

The neuromorphic chip market is witnessing a surge in global interest as industries increasingly seek cutting-edge solutions to mimic the human brain’s functioning. These chips, inspired by biological neural networks, are enabling advancements in artificial intelligence (AI), edge computing, robotics, and more. As demand grows for faster, smarter, and more energy-efficient processing systems, several key drivers are accelerating the market’s momentum.

1. Rising Demand for AI-Driven Applications

One of the most significant forces propelling the neuromorphic chip market is the growing reliance on artificial intelligence across sectors. AI-powered systems demand real-time data processing with low latency. Traditional architectures often fall short in delivering the required speed and efficiency, especially in complex tasks like object recognition, natural language processing, and autonomous navigation.

Neuromorphic chips, with their spiking neural networks (SNNs), are built to process sensory data more naturally and efficiently. This makes them ideal for AI workloads, from smart surveillance and predictive maintenance to personalized healthcare and autonomous driving. As AI continues to penetrate mainstream markets, the demand for neuromorphic computing platforms is expected to soar.

2. Expansion of Edge Computing and IoT Ecosystems

With billions of connected devices operating at the network edge, traditional cloud-based architectures face significant challenges related to latency, bandwidth, and energy consumption. Neuromorphic chips offer a compelling solution, as they enable local processing and decision-making without the need to constantly communicate with centralized data centers.

This localized intelligence allows devices like drones, wearable technology, industrial sensors, and mobile robotics to function more autonomously. Their ability to operate with minimal power consumption makes them especially attractive for battery-powered IoT devices. As edge computing becomes essential for real-time, on-site processing, neuromorphic chips will play a pivotal role in shaping next-gen embedded systems.

3. Energy Efficiency and Sustainable Computing Demands

Energy efficiency is a growing concern across the tech landscape. Data centers and AI infrastructure consume vast amounts of energy, prompting companies to seek alternative architectures that reduce power usage. Neuromorphic chips emulate the parallel and event-driven processing nature of the human brain, consuming significantly less power than conventional GPUs or CPUs.

This low-power characteristic is not just beneficial for mobile or embedded applications but is also aligned with global sustainability goals. As organizations aim to reduce their carbon footprint and adopt green computing strategies, the integration of neuromorphic systems offers a viable pathway to balance performance with environmental responsibility.

4. Government and Defense Sector Investments

Governments and defense agencies worldwide are increasingly investing in advanced computing technologies, including neuromorphic systems, to maintain strategic advantage. These chips are well-suited for mission-critical applications such as drone navigation, real-time data analysis, threat detection, and electronic warfare.

For instance, defense programs have initiated research on neuromorphic sensing platforms that can independently analyze environmental data in real-time with limited computational resources. Continued governmental funding and public-private collaborations are expected to spur innovation and drive commercialization in the market.

5. Advancements in Neuromorphic Hardware and Software

Another strong market driver is the rapid innovation in both neuromorphic hardware and supporting software ecosystems. Semiconductor giants, startups, and academic institutions are collaborating to refine neuromorphic chip architectures using advanced materials like memristors and phase-change memory.

In parallel, progress in software frameworks—such as NEST, Loihi’s Nx SDK, and SpiNNaker platforms—are making it easier for developers to design, simulate, and deploy neuromorphic models. As the ecosystem matures, adoption barriers are lowering, encouraging a wider range of industries to experiment with and implement neuromorphic computing.

6. Rising Use Cases in Healthcare and Biomedicine

Healthcare is emerging as a promising vertical for neuromorphic chips. Applications include neural prosthetics, real-time brain-machine interfaces, and AI-enabled diagnostic tools. These chips can process medical data streams—like EEG or ECG—in real-time, with minimal latency and power consumption.

Researchers are also exploring how neuromorphic systems can mimic synaptic behavior to aid neurodegenerative disease modeling or simulate brain functions in lab settings. As the healthcare sector embraces AI-driven innovation, the demand for neuromorphic chips tailored to biomedical applications is expected to rise sharply.

Conclusion

The neuromorphic chip market is being propelled by a convergence of technological advancements and growing industry needs. From AI acceleration and edge computing to sustainable processing and biomedical innovation, neuromorphic chips are poised to transform how machines perceive, process, and act on information. As key drivers continue to evolve, stakeholders across industries must keep a close eye on this transformative domain to harness its full potential.

[secureroot]

How a Cybersecurity Agency Protects Your Business in the Digital Age

Introduction to the Modern Threat Landscape

In today’s digital-first business environment, the threat of cyberattacks looms over every organization big or small. With the rise of sophisticated malware, phishing scams, ransomware attacks, insider threats, and data breaches, businesses can no longer rely on traditional security tools alone. Cybercrime has evolved into a multi-trillion-dollar industry, and every connected device, database, and user becomes a potential entry point for malicious actors. That’s where the role of a dedicated cybersecurity agency becomes indispensable. From risk assessment and threat mitigation to compliance and continuous monitoring, these agencies form the frontline defense for digital enterprises worldwide. India’s top leading cybersecurity agency plays a crucial role in helping businesses build robust defenses and stay resilient in the face of evolving digital threats.

What Does a Cybersecurity Agency Do?

Comprehensive Risk Assessment

Every effective cybersecurity strategy begins with a detailed risk assessment. A cybersecurity agency evaluates an organization’s digital infrastructure, identifies vulnerabilities, and gauges the impact of potential threats. This includes everything from cloud environments and SaaS platforms to internal networks, databases, and IoT devices. The goal is to understand where gaps exist and prioritize which weaknesses pose the highest business risk.

Threat Intelligence and Real-Time Monitoring

Modern cyber threats are fast-moving and complex. A reliable agency deploys tools and teams for real-time threat detection and incident response. They utilize advanced Security Information and Event Management (SIEM) systems, AI-based monitoring, and behavioral analytics to identify suspicious activities. When anomalies occur, the agency’s SOC (Security Operations Center) investigates, mitigates, and neutralizes threats often before they escalate into full-blown breaches.

Implementation of Security Frameworks

A leading cybersecurity solutions provider helps companies align with global security standards such as ISO 27001, HIPAA, PCI DSS, and DPDPA. Implementing these frameworks strengthens compliance, builds trust with stakeholders, and reduces the likelihood of regulatory penalties. Frameworks also ensure that policies, controls, and response protocols are structured, scalable, and ready to adapt to evolving threats.

The Core Services Offered by a Leading Cybersecurity Agency

Red Teaming and Offensive Security

Red Teaming is a simulated attack service offered by a cybersecurity agency where ethical hackers emulate the behavior of advanced persistent threats (APTs). The objective is not just to find technical flaws but to test how well people, processes, and technology respond to a coordinated attack. Red Team exercises are especially vital for high-stakes industries like finance, healthcare, and defense.

Secure Configuration Review

Even the most secure systems can become vulnerable if misconfigured. Agencies conduct thorough reviews of server, firewall, database, and application configurations to identify misconfigurations that could expose the system to attackers. Ensuring secure baseline settings is critical for both prevention and regulatory compliance.

Network and Infrastructure Penetration Testing

Penetration testing helps uncover hidden vulnerabilities in IT infrastructure. By simulating real-world attacks on servers, routers, firewalls, and cloud environments, cybersecurity agencies provide actionable insights that help businesses close security loopholes before threat actors exploit them.

Software Composition Analysis (SCA)

SCA focuses on identifying risks in third-party libraries and open-source components that organizations use in their software applications. A top cybersecurity solutions firm scans these dependencies to ensure they do not carry unpatched vulnerabilities, license violations, or outdated versions.

Why Businesses Need Cybersecurity Solutions Today

Surge in Remote Work and Cloud Adoption

With remote work becoming the new normal and cloud migration accelerating, the attack surface for businesses has expanded. Cybercriminals now exploit unsecured remote access points, unpatched VPNs, and misconfigured cloud services. Having a strong cybersecurity partner ensures these transitions are secure and compliant.

➡ Explore our comprehensive Cybersecurity Solutions.

Increasing Regulatory Compliance Requirements

Data protection regulations like GDPR, India’s DPDPA, and sector-specific standards are becoming more stringent. A cybersecurity partner helps businesses maintain compliance, document security practices, and avoid hefty fines. They offer documentation, audit assistance, and policy implementation tailored to each compliance framework.

Protection of Business Reputation

A single cyberattack can ruin a brand’s reputation. Whether it's a data breach or a ransomware attack, the loss of customer trust can be irreversible. Agencies protect not just digital assets but also brand credibility, ensuring clients and customers see the business as a safe, secure, and reliable entity.

Emerging Trends in Cybersecurity That Agencies Address

Zero Trust Architecture

Gone are the days when perimeter security was enough. Zero Trust assumes that no user or system is trustworthy by default. It enforces continuous verification and least privilege access, ensuring tighter security at every level. Leading agencies help implement Zero Trust policies with endpoint security, identity management, and network segmentation.

AI and Machine Learning for Threat Detection

The integration of AI into cybersecurity allows agencies to process massive datasets and detect patterns that indicate threats. These tools identify anomalies in user behavior, network traffic, and system logs, offering faster response times and reducing false positives.

Cybersecurity for Critical Infrastructure

Industries such as energy, healthcare, and transportation are under constant threat from state-sponsored and organized cybercriminal groups. Agencies work closely with these sectors to fortify critical infrastructure, ensure business continuity, and safeguard national interests.

Cloud-Native Security Solutions

With businesses increasingly adopting cloud-native applications and platforms like AWS, Azure, and GCP, traditional security approaches fall short. Agencies provide cloud-specific protection mechanisms like Cloud Security Posture Management (CSPM), workload protection, and container security.

Benefits of Partnering with a Cybersecurity Agency

24/7 Monitoring and Incident Response

Cyber threats don’t follow a 9-to-5 schedule. A reliable cybersecurity partner ensures 24/7 monitoring and rapid incident response. Their SOC teams are equipped to handle emergencies, limit damages, and ensure quick recovery.

Scalable and Customized Security Plans

Whether you're a startup or an enterprise, a cybersecurity firm tailors its services based on the size, industry, and risk appetite of the business. From basic security audits to full-scale penetration testing and compliance audits, services are scalable as your business grows.

Employee Security Training and Awareness

Most breaches occur due to human error. Cybersecurity agencies conduct training sessions, phishing simulations, and awareness programs to strengthen the human layer of defense. Educating employees helps reduce incidents and creates a culture of security within the organization.

➡ Learn more about how a cybersecurity agency supports your team.

Cost Savings and Risk Reduction

Partnering with an agency is far more cost-effective than hiring a full in-house team. You gain access to seasoned professionals, cutting-edge tools, and a broad threat intelligence network all without the overheads of building an internal security department.

SecureRoot: India’s Top Leading Cybersecurity Agency

When it comes to choosing a trusted partner in cybersecurity, SecureRoot stands out as India’s top leading cybersecurity agency. With deep expertise across offensive and defensive security, regulatory compliance, and modern threat mitigation strategies, SecureRoot empowers businesses to stay ahead of cybercriminals. From Red Teaming to Zero Trust architecture, the agency delivers tailor-made solutions backed by a team of seasoned ethical hackers, GRC consultants, and compliance experts.

Their portfolio includes clients across healthcare, fintech, eCommerce, and government sectors each benefiting from the agency’s commitment to proactive security and digital trust.

➡ Visit the official website to explore how SecureRoot delivers cutting-edge cybersecurity solutions.

Final Thoughts

In an era where data is the new currency, businesses must invest in protecting their digital assets with the same rigor as their physical ones. Cybersecurity is no longer optional it’s a business imperative. A skilled and forward-looking cybersecurity agency like SecureRoot provides the tools, knowledge, and strategy required to protect, detect, and respond effectively to evolving cyber threats.

By partnering with experts who understand the complexity of today’s digital ecosystem, businesses can not only ensure compliance and risk reduction but also build a resilient foundation for growth in the digital age.

[centizen]

Optimizing Software with Comprehensive Performance Testing

In today’s fast-paced digital ecosystem, delivering software that not only meets but exceeds performance expectations is not just an advantage—it’s a necessity. At Centizen Inc, a frontrunner in staffing services, custom software development, and innovative SaaS solutions like ZenBasket and Zenyo, we understand the pivotal role of performance testing in software optimization. This article delves into the essence of performance testing, offering insights and strategies to enhance software efficiency, reliability, and scalability.

Understanding the spectrum of performance testing

Performance testing encompasses a suite of tests, each designed to scrutinize different aspects of the software’s capabilities:

Stress testing: Identifies the software’s breaking point by pushing it beyond its normal operational capacity.

Endurance testing: Assesses the software’s performance over extended periods to detect potential degradation.

Spike testing: Examines the software’s responsiveness to sudden, sharp increases in load.

Volume testing: Evaluates the software’s ability to manage large volumes of data efficiently.

Scalability testing: Determines the software’s adaptability to changing demands, ensuring it can scale up or down as required.

These tests simulate real-world scenarios, uncovering how the application behaves under different stresses and strains, thus guiding developers in fine-tuning the software for optimal performance.

Setting up realistic testing environments

A critical factor in performance testing is the creation of a test environment that mirrors real-world usage as closely as possible. Utilizing load generators, network emulators, and comprehensive tools for performance metrics collection and analysis ensures that the tests are as realistic and predictive of actual user experiences as possible. By employing SMART (Specific, Measurable, Attainable, Relevant, and Time-bound) criteria for test cases, developers can effectively pinpoint performance bottlenecks and assess the application’s readiness for deployment.

Key performance metrics and tools

Monitoring and analyzing key performance metrics are crucial to identifying areas for improvement. Metrics such as response time, throughput, CPU and memory utilization, and error rates provide invaluable insights into the application’s efficiency, stability, and scalability. Tools like Apache JMeter, LoadRunner, and Gatling are instrumental in conducting these tests, offering scalability, in-depth analysis, and seamless integration with continuous integration pipelines.

Navigating best practices and challenges

Integrating performance testing into the early stages of the development cycle is a best practice we champion at Centizen Inc. This proactive approach ensures that performance issues are addressed swiftly, minimizing their impact on project timelines and costs. However, replicating real-world user patterns and ensuring test repeatability pose challenges that demand a strategic approach to testing and optimization.

The path to optimization

Optimizing software through performance testing is an iterative process that involves setting performance goals, selecting the right tools, creating realistic testing scenarios, and analyzing results to identify and address bottlenecks. Continuous monitoring and adaptation to new features, user requirements, and technology changes are essential for maintaining optimal performance. Remember, the ultimate goal of performance testing is not just to meet technical benchmarks but to ensure a superior user experience.

We at��Centizen Inc are dedicated to elevating the software experience. Our expertise in staffing services, custom software development, and SaaS products positions us uniquely to tackle the challenges of the digital age, ensuring our clients and their customers enjoy the highest quality software solutions.

Join us in our journey towards software excellence. Together, let’s set new benchmarks for performance and user satisfaction in the digital world.

[tomk447]

Mobile Broadcasting Solutions for Road Trip Streaming: A Comprehensive Guide to Four Professional Approaches

A professional automotive content creator recently consulted me about executing a high-quality, long-distance mobile live stream from their vehicle. The objective was to deliver an engaging, interactive IRL (In Real Life) broadcast experience—a technical challenge demanding resilient technology that remains both secure and user-friendly during operation. Following thorough investigation, I've evaluated four comprehensive approaches for vehicular broadcasting environments. This analysis explores the strengths and constraints of each methodology, spanning from basic smartphone configurations to enterprise-level broadcasting infrastructure, demonstrating why TVU Networks stands out as the optimal solution for serious content creators.

Approach 1: Mobile Device + Cellular Aggregation Router

This foundational method represents the most approachable starting point, capitalizing on the remarkable camera capabilities found in contemporary smartphones. The primary obstacle in long-distance travel—sustaining consistent network connectivity—is resolved through integration with a multi-SIM bonding router that merges multiple cellular connections to enhance reliability. Optimal performance requires a flagship smartphone, professional mounting hardware, robust charging infrastructure, and external audio capture equipment such as the RODE Wireless GO II for superior sound quality.

This configuration suits independent creators perfectly due to its modest financial commitment and manageable complexity. Nevertheless, network disruptions can still degrade broadcast quality in isolated regions, and prolonged operation frequently results in device overheating and thermal limitations, potentially causing performance degradation or system failures.

Approach 2: Action Camera + Dedicated Streaming Hardware

For enriched visual narrative capabilities, action cameras such as GoPro or DJI Action models provide adaptability that smartphones cannot deliver, facilitating dynamic perspectives of the driver, passengers, and external environment. The technical implementation involves connecting cameras through HDMI to specialized streaming hardware (such as YoloBox Pro). These units function as production centers, coordinating multiple video sources and processing the broadcast stream. A multi-SIM router remains essential for network reliability, and a vehicle power inverter becomes necessary to support the expanded equipment requirements.

Success requires thorough preparation, from mounting cameras with industrial-grade hardware to pre-programming camera transitions. Cable organization becomes a critical safety and visual consideration. This methodology produces more engaging, professional-quality content but demands increased complexity and financial investment.

Approach 3: Laptop + Professional Camera System

For production teams pursuing superior image quality and enhanced audience engagement, a laptop-centered setup with professional mirrorless cameras represents the premium option. This configuration emulates a conventional broadcast studio environment, customized for mobile deployment. A capture interface connects the camera to a high-performance laptop operating OBS (Open Broadcaster Software). OBS functions as the production command center, enabling advanced multi-source layouts, live graphic integration, and viewer participation features. Network reliability depends on a multi-SIM router, and a robust vehicle power inverter is required to support the high-consumption equipment.

This setup delivers exceptional quality and engagement but presents significant obstacles. The equipment requires substantial space, technical demands necessitate experienced operators, and power management becomes a persistent challenge. Individual operation is nearly impossible, requiring a production crew, which escalates costs and operational complexity.

Approach 4: TVU Networks Mobile Broadcasting Platform

TVU Networks delivers the industry benchmark in mobile broadcasting through its TVU One platform, a specialized solution that consolidates all essential components into a portable backpack unit. Unlike improvised configurations, TVU One is specifically designed for demanding mobile conditions. Its foundation is an advanced multi-carrier 4G/5G signal bonding technology that dynamically redistributes data packets across networks to sustain optimal performance and minimal latency. Advanced H.265 compression maintains image fidelity while reducing bandwidth requirements.

The hardware accommodates professional SDI and HDMI camera connections, incorporates an integrated power system for extended operation, and employs intelligent thermal regulation to prevent overheating. The platform's revolutionary capability is its cloud-based production functionality. The TVU Cloud Console enables a remote team to control camera selection, graphics, and audience interaction from any location, facilitating sophisticated productions with minimal field personnel and exceptional operational adaptability.

Detailed Comparison and Strategic Recommendations

Solution selection requires evaluating multiple criteria. Financial investment spans from hundreds of dollars for smartphone setups to five-figure investments for the TVU One platform. Operational complexity similarly escalates; while smartphones offer simplicity, the integrated TVU system can be more manageable than assembled laptop configurations. Image quality advances from satisfactory on smartphones to outstanding with professional cameras, with TVU's adaptability allowing quality to match the selected camera. Reliability becomes the crucial differentiator. Consumer solutions will inevitably encounter coverage gaps, while TVU's sophisticated aggregation provides near-broadcast dependability, establishing it as a reliable production instrument.

Strategic Recommendation: Emerging creators should begin with the smartphone methodology. Small teams can advance to action cameras for increased versatility. Established teams targeting premium quality should evaluate laptop systems, but professional broadcasters requiring absolute reliability should select TVU Networks.

The TVU Networks Practical Advantage

Real-world mobile broadcasting environments are demanding. Coverage maps are theoretical, and equipment deteriorates under stress from vibration and temperature variations. TVU's superiority stems from addressing these challenges through intentional engineering. Its signal aggregation operates predictively, anticipating coverage interruptions to redirect data before signal loss occurs. Its durable thermal architecture maintains peak performance where consumer equipment would limit or cease operation. Beyond hardware capabilities, TVU provides professional support infrastructure and carrier partnerships that guarantee optimized performance. The cloud production ecosystem transforms operations, enabling a minimal on-site crew to execute sophisticated broadcasts managed by remote technical specialists.

Final Assessment

In-vehicle live streaming presents distinct challenges and creative possibilities. The four approaches offer different pathways based on ambition and resources. Smartphones provide accessible entry points, action cameras improve storytelling capabilities, and laptop systems achieve premium quality for technically skilled users. The TVU Networks platform, however, represents the definitive professional solution, providing broadcast-quality reliability and performance through purpose-designed integration. Technology ultimately serves the narrative. However, in live streaming, where technical failures can permanently compromise audience confidence, reliability is essential. For creators dedicated to excellence, the investment in professional-grade solutions like TVU Networks provides the assurance to concentrate on developing compelling content rather than resolving technical complications.

[aisoftwaretesting]

Understanding Throughput in Performance Testing with Genqe.ai

In the realm of performance testing, throughput is a critical metric that determines the efficiency and scalability of mobile and web applications. Ensuring high throughput is essential for delivering seamless user experiences, especially under heavy user loads. Genqe.ai, an AI-powered testing platform, provides robust tools to measure and optimize throughput, empowering teams to build high-performing applications. This blog explores what throughput is, why it matters, and how Genqe.ai enables effective throughput testing for mobile and web apps.

What is Throughput in Performance Testing?

Throughput in performance testing refers to the rate at which a system processes requests or transactions within a given time frame, typically measured in requests per second, transactions per second, or data processed per second (e.g., megabytes per second). It reflects the system’s capacity to handle concurrent user interactions or workloads efficiently. For mobile apps, throughput might measure how many API calls, page loads, or database queries the app can process under varying conditions. High throughput indicates a system’s ability to manage heavy traffic without performance degradation, making it a key indicator of scalability and reliability.

For example, in an e-commerce mobile app, throughput could represent the number of completed checkout transactions per second during a flash sale. Low throughput might result in slow response times or failed transactions, leading to user frustration and lost revenue. Genqe.ai’s advanced testing capabilities help teams measure and optimize throughput to ensure applications perform flawlessly under real-world conditions.

Why Throughput Matters

Throughput is a vital metric because it directly impacts user experience and business outcomes. Applications with low throughput struggle to handle peak traffic, leading to bottlenecks, delays, or crashes. For instance, a streaming app with insufficient throughput may fail to deliver smooth video playback during high-demand periods, causing buffering and user churn. By measuring throughput, teams can identify system limitations, optimize resource utilization, and ensure scalability to meet user expectations.

Genqe.ai’s platform excels at simulating real-world traffic scenarios on real iOS and Android devices, allowing teams to measure throughput under diverse conditions, such as varying network speeds (3G, 4G, 5G) or user loads. This ensures that applications maintain high throughput, delivering fast and reliable experiences even during peak usage.

How Genqe.ai Measures Throughput

Genqe.ai provides a comprehensive suite of tools to measure and analyze throughput in performance testing:

Real Device Testing: Genqe.ai’s private cloud offers access to thousands of real iOS and Android devices, enabling accurate throughput measurements in production-like environments.

Traffic Simulation: Using captured production traffic or synthetic workloads, Genqe.ai simulates thousands of concurrent users to test throughput under realistic conditions.

AI-Driven Analytics: Genqe.ai’s AI engine analyzes throughput metrics, identifying bottlenecks such as slow API responses or database queries, and suggests optimizations.

Network Emulation: Tests throughput under various network conditions, ensuring apps perform well on low-bandwidth or high-latency networks.

Custom Dashboards: Visualizes throughput metrics (e.g., requests per second) alongside other performance indicators like response time and error rates for comprehensive analysis.

For example, a ride-sharing app can use Genqe.ai to measure how many ride requests the backend processes per second during simulated peak hours. If throughput drops below the target (e.g., 100 requests/second), Genqe.ai’s analytics pinpoint the cause—such as a slow database query—and recommend solutions like query optimization or server scaling.

Throughput Testing in Action: A Real-World Example

Consider a mobile banking app preparing for a high-traffic event, such as a national holiday when users frequently check balances or transfer funds. Genqe.ai can simulate thousands of concurrent transactions on real Android and iOS devices, measuring the throughput of API calls (e.g., balance checks per second). By analyzing metrics like successful transactions per second and error rates, Genqe.ai identifies whether the app’s backend can handle the load. If throughput is insufficient, Genqe.ai’s AI-driven insights might suggest optimizing server configurations or load balancing to improve scalability, ensuring a seamless user experience during peak demand.

Best Practices for Throughput Testing with Genqe.ai

To maximize the effectiveness of throughput testing, follow these best practices with Genqe.ai:

Test on Real Devices: Use Genqe.ai’s private cloud to test on actual iOS and Android devices, ensuring accurate throughput measurements reflective of real-world usage.

Simulate Realistic Workloads: Leverage Genqe.ai’s traffic-driven testing to replicate production traffic patterns, such as peak user activity or specific user journeys.

Integrate with CI/CD: Automate throughput tests within CI/CD pipelines using Genqe.ai’s integrations with tools like Jenkins or GitLab, enabling continuous performance monitoring.

Set Throughput Benchmarks: Establish acceptable throughput thresholds (e.g., 200 requests/second for critical APIs) and use Genqe.ai to monitor deviations.

Analyze Bottlenecks: Utilize Genqe.ai’s AI analytics to identify and resolve throughput bottlenecks, such as slow database queries or insufficient server resources.

Test Under Diverse Conditions: Use Genqe.ai’s network emulation to measure throughput across various network speeds and latencies, ensuring robust performance.

Why Choose Genqe.ai for Throughput Testing?

Genqe.ai stands out as the premier solution for throughput testing due to its AI-powered capabilities and mobile-focused approach. Its key advantages include:

Accurate Measurements: Tests on real devices in a private cloud for reliable throughput metrics.

Scalable Testing: Simulates thousands of concurrent users to evaluate throughput under high loads.

AI-Powered Insights: Automatically detects and resolves performance bottlenecks, reducing manual analysis time.

Seamless Integration: Fits into existing CI/CD workflows, enabling continuous throughput monitoring.

Comprehensive Metrics: Provides detailed throughput data alongside response time, error rates, and resource utilization for holistic performance analysis.

Conclusion

Throughput is a cornerstone of performance testing, determining an application’s ability to handle user demands efficiently. Genqe.ai’s AI-powered platform revolutionizes throughput testing by offering real device testing, realistic traffic simulation, and intelligent analytics tailored for mobile and web apps. By adopting Genqe.ai and following best practices, teams can optimize throughput, eliminate bottlenecks, and deliver fast, scalable applications that delight users. Embrace Genqe.ai to master throughput testing and ensure your apps thrive in the competitive digital landscape.

[testrigtechnologies]

Best Mobile Test Automation Tools in 2025: A Comparative Guide for Engineering-Led QA Teams

In the fast-evolving landscape of mobile applications, quality assurance is no longer an afterthought — it’s a key enabler of business success. Mobile QA has matured from exploratory testing on a handful of devices to highly scalable automation pipelines that span real devices, cloud grids, biometric interactions, visual validation, and AI-driven maintenance.

As a follow-up to our earlier article on Types of Mobile Application Testing You Shouldn’t Miss, we’re diving deep into the tools that power the mobile automation engine in 2025 — from open-source giants like Appium to frameworks purpose-built for platform-native performance like Espresso, XCUITest, and Detox.

This guide isn’t just about listing tools — it's about understanding their architectural design, real-world integration challenges, CI/CD readiness, developer ergonomics, and evolution trends.

The Evolution of Mobile Test Automation in 2025

Before we compare tools, let’s look at the three macro trends shaping mobile test automation this year:

Convergence of Mobile and Web Pipelines: With tools like Playwright enabling mobile browser emulation and shared test logic, teams are merging their test layers to reduce duplication.

Cloud-Native Device Testing: The shift to cloud device farms (e.g., BrowserStack, Sauce Labs, LambdaTest) is now default — reducing hardware maintenance overhead and enabling faster parallelism.

Intelligent Maintenance: AI-based locators, self-healing selectors, and smart wait strategies are baked into tools like Katalon, Testim, and even newer Appium plugins — making automation more stable over time.

Deep Comparative Analysis: Top Mobile Test Automation Tools

1. Appium 2.0+ – Protocol-Based, Language-Agnostic, Device-Aware

Core Architecture: Appium 2.0 modularized its driver architecture — separating core engine and platform drivers (UIAutomator2, Espresso, XCUITest). It supports W3C WebDriver Protocol, and recent extensions allow deeper integrations with Appium plugins and third-party services.

Advanced Use Cases:

Multi-platform testing in one test suite (Android, iOS, Windows).

Biometric authentication (FaceID, TouchID).

Integration with Allure, Jenkins, TestNG, BrowserStack App Automate.

Support for parallel test runs via Selenium Grid or cloud.

Limitations:

Still script-heavy, and setup for real-device cloud grids can be non-trivial.

Slower execution compared to Espresso/XCUITest.

🔗 Official Docs

2. Playwright (Mobile Web Automation) – Modern API, Fast Parallelism, Powerful Fixtures

⚠️ Not suitable for native apps, but unmatched for mobile web testing.

Why It Stands Out:

Emulates mobile devices using device descriptors (e.g., iPhone 13, Pixel 6).

Offers powerful features like network interception, geolocation mocking, and multi-context browser testing.

Designed for speed: built-in parallelism, headless mode, retry logic, and intelligent waits.

Test Lifecycle Management: With test.describe, beforeEach, use, and custom fixtures, Playwright Test enables fine-grained control over test isolation and context injection.

Advanced Use:

Integrates seamlessly with GitHub Actions, Jenkins, GitLab CI.

Excellent for mobile-responsive testing and simulating real-world network conditions.

🔗 Mobile Emulation Docs

3. Detox – Gray Box Testing for React Native

Designed For: High-speed E2E testing in React Native apps, tightly integrated with the app lifecycle and running tests on the same thread as the app JS code.

Why It Matters:

Syncs with the app state — waits for animations, network requests, and timers.

Uses Espresso and EarlGrey under the hood for Android/iOS.

Perfect for pixel-perfect testing in CI pipelines.

Limitations:

Not cross-platform beyond React Native.

Requires Metro bundler; cannot be reused for web/hybrid apps.

🔗 Official Detox Docs

4. Espresso & XCUITest – Native Performance, Native Debugging

These tools are not cross-platform — but they offer deep integration and unmatched performance within their ecosystems.

Espresso (Android):

Integrates directly with Android Instrumentation.

Enables fluent APIs for UI testing.

Ideal for complex gesture validation, RecyclerView assertions, animations, and synchronizations.

XCUITest (iOS):

Works seamlessly with Xcode and XCTest framework.

Offers access to system events, push notifications, backgrounding.

Advanced Integration:

Combine with Fastlane, Firebase Test Lab, or BrowserStack for massive scale.

🔗 Espresso, XCUITest

5. Katalon Studio – AI-Powered, Enterprise-Ready Low-Code Platform

Ideal for QA teams looking to automate without writing deep code but still needing robust integrations with Jira, Jenkins, and cloud platforms.

Advanced Features:

Self-healing selectors.

Built-in visual validation.

Smart wait, BDD support, and TestOps integration.

Caveat:

Some enterprise features behind a paywall.

Tests may be harder to scale and refactor compared to code-based frameworks.

🔗 Katalon Docs

6. BrowserStack App Automate / AWS Device Farm

Cloud platforms that support real-device testing with all popular frameworks (Appium, Espresso, XCUITest, etc.).

Key Features:

Test on 3000+ device/OS combos.

Access to device logs, crash reports, screenshots, and video playback.

Easy integration with CI tools and source control.

Enterprise Use Cases:

Geo-based testing, time zone simulation.

Accessibility and visual regression at scale.

🔗 BrowserStack, AWS Device Farm

⚙️ Integration and CI/CD Readiness

All top-tier tools now support:

Dockerized test execution

Headless emulator/simulator runs

Parallelism using sharding strategies

Integration with CI/CD tools (GitHub Actions, GitLab CI, Bitbucket Pipelines, Jenkins)

Read also: 10 Best Mobile App Testing Practices for Seamless User Experiences

What’s Coming Next?

AI code-gen and repair: Tools that write, refactor, and debug your test cases.

Mobile+Wearable Automation: WatchOS, WearOS test frameworks will mature.

5G-specific testing, biometric simulation, and camera-based workflows.

Final Thoughts: Engineering-Centric Tool Selection 

As a leading mobile application testing company, At Testrig Technologies, we work closely with product and QA teams to design automation pipelines that are custom-fit for their development lifecycle. Whether you're testing native Android apps with Espresso, hybrid apps with Appium, or validating responsive design with Playwright — our focus remains scalability, maintainability, and integration maturity.

Looking for expert guidance to build or optimize your mobile automation strategy?

[wildlf]

The Truth About CAPTCHA Bypass: Is It Ethical, Legal, and Worth It?

CAPTCHAs—short for Completely Automated Public Turing test to tell Computers and Humans Apart—are an integral part of online security. They're meant to distinguish human users from bots by presenting tasks that are easy for people but difficult for machines. However, as technology advances, so does the sophistication of CAPTCHA bypass methods.

In this article, we explore the evolving landscape of CAPTCHA bypass—how it works, who uses it, the tools and methods involved, and the ethical and legal implications surrounding its use.

What Is CAPTCHA Bypass?

CAPTCHA bypass refers to any method used to defeat or circumvent CAPTCHA verification systems, allowing bots or scripts to access content, forms, or services without human interaction. It's widely used in web scraping, automated form submissions, data harvesting, and sometimes for malicious purposes like spamming or credential stuffing.

While some use CAPTCHA bypass for legitimate business automation, others exploit it to carry out unethical or illegal activities.

Types of CAPTCHA Systems

Before discussing bypass methods, let’s review common CAPTCHA types:

Text-based CAPTCHAs – Users type distorted characters.

Image-based CAPTCHAs – Users click on specific images (e.g., "select all traffic lights").

Audio CAPTCHAs – Used for accessibility.

Invisible CAPTCHAs – Detect behavior (like mouse movement) to infer human presence.

reCAPTCHA v2 & v3 – Google’s advanced CAPTCHA versions that evaluate risk scores and behavioral patterns.

Each CAPTCHA type requires different bypass approaches.

Common CAPTCHA Bypass Techniques

1. Optical Character Recognition (OCR)

OCR engines can read distorted text from image-based CAPTCHAs. Tools like Tesseract (an open-source OCR engine) are trained to decode common fonts and noise patterns.

2. Machine Learning (ML)

ML models, especially Convolutional Neural Networks (CNNs), can be trained on thousands of CAPTCHA examples. These systems learn to identify patterns and bypass even complex image-based CAPTCHAs with high accuracy.

3. Human-in-the-Loop Services

Services like 2Captcha and Anti-Captcha outsource CAPTCHA solving to low-cost human labor, solving them in real-time via APIs. While controversial, they are legal in many jurisdictions.

4. Browser Automation (Selenium, Puppeteer)

Automating browser actions can trick behavioral-based CAPTCHAs. Combining Selenium with CAPTCHA solving APIs creates a powerful bypass system.

5. Token Reuse or Session Hijacking

Some CAPTCHAs generate session tokens. If these are stored or reused improperly, attackers can replay valid tokens to bypass the system.

CAPTCHA Bypass Tools and APIs

Here are popular tools and services in 2025:

2Captcha – Crowdsourced human solvers.

Anti-Captcha – AI-based and human-based CAPTCHA solving.

CapMonster – AI-driven CAPTCHA solver with browser emulation.

Buster – A browser extension for solving reCAPTCHAs via audio analysis.

Death by CAPTCHA – Another human-powered solving API.

Legal and Ethical Considerations

While bypassing CAPTCHA may sound clever or harmless, the legal and ethical landscape is more complex:

✅ Legitimate Use Cases

Automation for accessibility: Helping disabled users bypass complex CAPTCHAs.

Web scraping with permission: For competitive research or data aggregation.

Testing and QA: Developers use CAPTCHA bypass to test form behavior.

❌ Illegitimate Use Cases

Spam bots and credential stuffing.

Bypassing terms of service on platforms like Google or Facebook.

Data harvesting without permission.

Most websites have terms that prohibit automated bypasses. Violating them may result in legal action or IP bans. In some countries, large-scale CAPTCHA bypass for malicious use could violate cybercrime laws.

How Websites Are Fighting Back

Web developers and security professionals continuously adapt to evolving bypass techniques. New defenses include:

Fingerprinting & behavioral analysis – Tracking mouse movement, typing rhythm, etc.

Rate limiting & honeypots – Limiting requests and setting traps for bots.

Advanced bot detection services – Tools like Cloudflare Bot Management and Akamai Bot Manager.

Best Practices for Ethical CAPTCHA Use

Avoid scraping or automating tasks on sites without permission.

Use CAPTCHA-solving APIs only where legally allowed.

Inform users or clients when using bypass tools during development or testing.

Stay updated on laws in your country about bot activity and scraping.

The Future of CAPTCHA and Bypass

CAPTCHAs are evolving. In 2025, we're seeing movement toward:

Invisible CAPTCHAs with behavioral scoring.

Biometric authentication instead of traditional CAPTCHAs.

Decentralized bot protection via blockchain-like verification systems.

But as long as there's automation, there will be ways to bypass CAPTCHAs—the challenge is balancing innovation with responsibility.

Conclusion

CAPTCHA bypass is a fascinating, ever-evolving field that combines artificial intelligence, web automation, and cybersecurity. While the tools and techniques are powerful, they come with ethical and legal responsibilities.

If you're a developer, business owner, or security professional, understanding CAPTCHA bypass can help you protect your systems—or responsibly automate tasks. But always keep in mind: just because you can bypass a CAPTCHA doesn’t mean you should.

[beeswire]

Network Emulator Market Size, Share & Trends Analysis growing at a CAGR of 7.7% from 2024 to 2030

The global network emulator market size was estimated at USD 267.0 million in 2023 and is expected to grow at a CAGR of 7.7% from 2024 to 2030. The market growth can be attributed to several driving factors, including the rapid adoption of cloud computing and the migration of critical applications and services to cloud environments. Furthermore, as organizations move their workloads to the cloud,…

[spectralpixelsredone]

Analysis of All For One’s Potential Survival and the Persistence of Corruption in My Hero Academia

This analysis delves into the mechanisms by which All For One (AFO), the central antagonist of My Hero Academia, could theoretically survive his apparent demise, the implications of corrupt organizations like the Hero Public Safety Commission (HPSC) persisting, and the potential for a villain emulating AFO to emerge. Drawing on the narrative, character dynamics, and societal structures within the series, this exploration addresses the feasibility of AFO’s return, the role of systemic corruption, and the rise of a new AFO-like figure.

How All For One Could Survive

Despite the narrative’s strong indication of AFO’s death in the Final War Arc, several mechanisms rooted in the series’ mechanics and AFO’s established cunning suggest potential avenues for survival. These possibilities, while speculative, align with his history of meticulous planning and the unique properties of his Quirk.

1. Vestige Persistence

Mechanism: AFO’s Quirk, All For One, allows him to steal and store Quirks, retaining vestiges—spiritual imprints—of their original owners. These vestiges persist within AFO’s consciousness, as seen with the voices haunting him in nightmares. The series establishes that vestiges can influence events even after physical death (e.g., One For All’s users). If a fragment of AFO’s vestige survived the destruction of his and Tomura’s bodies, it could linger in another vessel or Quirk.

Feasibility: AFO’s vestige was shattered by Izuku’s final punch, and Tomura’s body disintegrated under One For All’s strain. However, the series hints at vestiges enduring in unexpected ways, such as Yoichi’s presence in One For All. AFO could have transferred a copy of his consciousness to an external medium (e.g., a Nomu, a stolen Quirk, or an ally like Dr. Kyudai Garaki) as a contingency. His experiments with Nomu and Quirk duplication suggest he might have developed a method to preserve his vestige independently.

Evidence: AFO’s collaboration with Dr. Garaki, who created Nomu with multiple Quirks, indicates advanced knowledge of Quirk transfer and consciousness manipulation. The Villain Factory’s experiments with Number 6 and the Trigger drug show AFO’s willingness to push Quirk boundaries. While no explicit evidence confirms a surviving vestige, his history of foresight (e.g., safe houses, the Tartarus breakout) supports the possibility of a hidden backup.

2. Quirk Transfer to an Ally

Mechanism: AFO’s ability to give and take Quirks allows him to transfer his All For One Quirk to another individual, as seen with Tomura. If AFO secretly transferred a copy of his Quirk—or a modified version containing his consciousness—to a loyal subordinate (e.g., a Nomu, Lady Nagant, or an unknown agent), he could persist in a new host.

Feasibility: The All For One Quirk’s duplicate was given to Tomura, but AFO’s original Quirk was destroyed. However, his experiments with Quirk replication (e.g., the Quirk-Destroying Drug derived from a Quirk) suggest he could have created a secondary copy or a Quirk with similar properties. The Tartarus breakout freed numerous villains, some of whom could have been entrusted with a latent Quirk containing AFO’s essence, activated post-defeat.

Evidence: AFO’s manipulation of Lady Nagant, giving her Air Walk, shows his willingness to distribute powerful Quirks strategically. His use of the Villain Factory to create “warped seeds” (children like Number 6) indicates a network of potential vessels. The lack of explicit mention of such a transfer in the manga makes this speculative, but AFO’s history of grooming successors (Tomura, Number 6) supports the idea.

3. Rewind Quirk Manipulation

Mechanism: AFO used a copied version of Eri’s Rewind Quirk to restore his body, but its overuse rewound him out of existence. If AFO or Dr. Garaki developed a modified Rewind Quirk or a countermeasure to halt its regression before total erasure, he could have survived in a younger form or regenerated elsewhere.

Feasibility: The Rewind Quirk’s mechanics are finite, and its overuse explicitly caused AFO’s physical demise. However, AFO’s access to Dr. Garaki’s expertise and safe houses (as seen post-Tartarus) suggests he might have prepared a safeguard, such as a device or Quirk to stabilize Rewind’s effects. Alternatively, a Nomu or ally with a regenerative Quirk could have been used to preserve his body.

Evidence: The pre-recorded message from Dr. Garaki accompanying AFO’s new life-support mask post-Tartarus indicates advanced planning. AFO’s ability to reverse-engineer the Quirk-Destroying Drug shows his capacity to manipulate complex Quirks. While the manga emphasizes Rewind’s fatal outcome, AFO’s resourcefulness leaves room for an unshown contingency.

4. External Contingency (Safe Houses or Nomu)

Mechanism: AFO’s network of safe houses and Nomu production facilities, managed by Dr. Garaki, could house a cloned body, a preserved Quirk, or a bio-engineered vessel containing his consciousness. The Villain Factory’s experiments with Nomu and Trigger suggest AFO planned for scenarios where his primary body was lost.

Feasibility: The Tartarus breakout and AFO’s use of safe houses demonstrate his foresight. A Nomu with a fragment of his consciousness or a stored Quirk could activate post-defeat, allowing AFO to return in a new form. The series’ epilogue does not explore surviving Nomu or hidden facilities, but AFO’s history of evading capture (e.g., after All Might’s first victory) supports this possibility.

Evidence: The creation of High-End Nomu, like Hood, and AFO’s mentorship of Number 6 show his investment in bio-engineered proxies. His ability to operate through fronts like Koga Constructions suggests hidden resources. The lack of narrative follow-up on these facilities leaves open the possibility of an undiscovered contingency.

5. International Connections

Mechanism: AFO’s global contacts, used to delay foreign hero support during the Final War Arc, could include allies or facilities capable of preserving his consciousness or body. He might have entrusted a Quirk or vestige to an overseas operative, allowing him to regenerate abroad.

Feasibility: The series confirms AFO’s influence extends internationally, but specifics are vague. Transferring his consciousness or Quirk to a foreign ally would require significant trust, which AFO rarely extends beyond loyalists like Gigantomachia. However, his ability to manipulate figures like Lady Nagant suggests he could have cultivated such an ally.

Evidence: AFO’s delay of international heroes indicates a network capable of significant influence. His willingness to arm allies (e.g., Spinner’s Body Bulk and Scalemail Quirks) supports the idea of distributing resources globally. The absence of detailed exploration of these connections in the manga makes this speculative but plausible.

Conclusion on Survival

While the Final War Arc strongly suggests AFO’s death—through physical erasure, vestige destruction, and Tomura’s disintegration—AFO’s cunning, Quirk expertise, and extensive network create plausible avenues for survival. Vestige persistence, Quirk transfer, Rewind manipulation, hidden facilities, or international allies could allow a fragment of AFO to endure. However, the narrative’s focus on closure and the lack of explicit hints reduce the likelihood, making survival a theoretical possibility rather than a confirmed outcome.

The Persistence of Corrupt Organizations Like the Hero Public Safety Commission

The HPSC’s Role and Corruption

The Hero Public Safety Commission (HPSC) is a governing body overseeing heroes in My Hero Academia, but its history of corruption—exemplified by actions like training Hawks as a child soldier and commissioning Lady Nagant for assassinations—creates a fertile ground for AFO’s return or the rise of a new villain. Despite reforms hinted at in the epilogue, the HPSC’s systemic露

Potential for AFO’s Return or an Emulator’s Rise

The persistence of corrupt elements within organizations like the HPSC amplifies the risk of AFO’s survival or the emergence of a villain emulating his methods. Key points include:

Undetected Loyalists: AFO’s influence over villains, as seen with the Jailbreakers and his manipulation of figures like Lady Nagant, suggests that loyalists within or outside the HPSC could harbor his Quirk or vestige. The HPSC’s history of secrecy (e.g., covert operations) makes it a potential hiding place for such agents.

Access to Resources: The HPSC’s control over hero licenses, Quirk registries, and funding could provide a corrupt member with the means to preserve or replicate AFO’s Quirk. For example, a rogue scientist within the HPSC could access Quirk data or experimental facilities, mirroring Dr. Garaki’s work.

Systemic Weaknesses: The HPSC’s failure to address systemic issues (e.g., neglecting vulnerable individuals like Tenko Shimura) creates conditions where AFO’s ideology could resonate. A corrupt official could exploit these flaws to revive AFO or emulate his power-grabbing tactics.

Precedent for Infiltration: The U.A. Traitor Arc shows that even trusted institutions can be compromised (e.g., Yuga Aoyama’s coerced betrayal). AFO’s psychological manipulation skills make it feasible that he could have planted a sleeper agent within the HPSC.

Evidence from the Series

Historical Corruption: The HPSC’s unethical practices, such as grooming Hawks and ordering extrajudicial killings, indicate a willingness to bend moral lines, creating an environment where AFO’s influence could persist undetected.

Villain Sympathizers: The Paranormal Liberation War Arc reveals widespread societal discontent, with groups like the Meta Liberation Army exploiting systemic failures. Corrupt HPSC members could align with AFO’s philosophy, seeing it as a means to power.

AFO’s Network: The Jailbreakers, freed during the Tartarus breakout, and AFO’s mentorship of figures like Number 6 demonstrate his ability to cultivate loyal followers. The HPSC’s bureaucratic opacity could shield such operatives.

Conclusion on Corruption

The HPSC’s persistent corruption, even post-reform, creates a vulnerable system where AFO could survive through loyalists or where a new villain could adopt his methods. The organization’s history of secrecy, resource access, and failure to address societal issues makes it a potential breeding ground for AFO’s legacy.

The Rise of a Villain Emulating All For One

The Quirk Doomsday Theory and New Threats

The Quirk Doomsday Theory, which predicts Quirks becoming increasingly powerful and unstable, sets the stage for a new AFO-like villain. Key factors include:

Evolving Quirks: As Quirks grow more complex, a new individual could develop a Quirk-stealing or power-accumulating ability similar to All For One. The theory suggests such Quirks could emerge rapidly, creating a new “Symbol of Evil.”

Societal Discontent: AFO’s rise was fueled by societal chaos and neglect, conditions that persist post-Final War Arc. A new villain could exploit these issues, as AFO did with Tenko, to build a following.

Corrupt Systems: The HPSC’s lingering corruption provides resources and cover for a villain to emulate AFO’s tactics, such as Quirk experimentation or manipulation of disenfranchised individuals.

Potential Scenarios

Rogue Scientist: A disgraced scientist, inspired by Dr. Garaki, could replicate AFO’s Quirk through experimentation, using HPSC resources or stolen Nomu technology. The Villain Factory’s precedent suggests such capabilities exist.

Villainous Ideologue: A charismatic figure, like Re-Destro of the Meta Liberation Army, could adopt AFO’s philosophy of power through fear, using advanced Quirks to amass followers and challenge hero society.

HPSC Insider: A corrupt HPSC official could access Quirk registries to identify and steal powerful Quirks, mirroring AFO’s methods. The U.A. Traitor Arc shows such infiltration is possible.

International Threat: AFO’s global connections suggest a foreign villain could emulate him, using overseas resources to develop a Quirk-stealing ability and target hero society from abroad.

Evidence from the Series

Meta Liberation Army: The MLA’s large membership and ideological appeal show how a new villain could rally followers, as AFO did. Their resources and anti-hero stance align with AFO’s methods.

Villain Factory: AFO’s experiments with Number 6 and Trigger demonstrate the feasibility of creating powerful villains through Quirk manipulation, a blueprint for a successor.

Stain’s Legacy: Stain’s ideology inspired villains like Spinner and Toga, showing how a single figure’s philosophy can spark a movement. A new villain could similarly adopt AFO’s vision.

HPSC’s Flaws: The HPSC’s failure to reform fully, as seen in its history of corruption and Hawks’ struggle to change it, leaves room for internal betrayal or exploitation.

Conclusion on an Emulator

The Quirk Doomsday Theory, combined with societal and institutional vulnerabilities, makes the rise of a new AFO-like villain highly plausible. A rogue scientist, ideologue, HPSC insider, or international figure could emulate AFO’s Quirk-stealing, manipulative tactics, leveraging advanced Quirks and systemic corruption to challenge hero society. The persistence of groups like the MLA and the Villain Factory’s legacy provides a framework for such a threat to emerge quickly.

Conclusion

All For One’s survival is theoretically possible through vestige persistence, Quirk transfer, Rewind manipulation, hidden facilities, or international allies, though the narrative strongly suggests his demise. The HPSC’s ongoing corruption creates an environment where such a survival could go undetected or where a new villain could emulate AFO’s methods. The Quirk Doomsday Theory amplifies this risk, predicting the rapid emergence of powerful Quirks that could produce another AFO-like figure. The series’ themes of systemic failure and societal discontent underscore the potential for AFO’s legacy to persist, whether through his own return or a successor adopting his vision of power and chaos.

[crawlxpert01]

Overcoming Bot Detection While Scraping Menu Data from UberEats, DoorDash, and Just Eat

Introduction

In industries where menu data collection is concerned, web scraping would serve very well for us: UberEats, DoorDash, and Just Eat are the some examples. However, websites use very elaborate bot detection methods to stop the automated collection of information. In overcoming these factors, advanced scraping techniques would apply with huge relevance: rotating IPs, headless browsing, CAPTCHA solving, and AI methodology.

This guide will discuss how to bypass bot detection during menu data scraping and all challenges with the best practices for seamless and ethical data extraction.

Understanding Bot Detection on Food Delivery Platforms

1. Common Bot Detection Techniques

Food delivery platforms use various methods to block automated scrapers:

IP Blocking – Detects repeated requests from the same IP and blocks access.

User-Agent Tracking – Identifies and blocks non-human browsing patterns.

CAPTCHA Challenges – Requires solving puzzles to verify human presence.

JavaScript Challenges – Uses scripts to detect bots attempting to load pages without interaction.

Behavioral Analysis – Tracks mouse movements, scrolling, and keystrokes to differentiate bots from humans.

2. Rate Limiting and Request Patterns

Platforms monitor the frequency of requests coming from a specific IP or user session. If a scraper makes too many requests within a short time frame, it triggers rate limiting, causing the scraper to receive 403 Forbidden or 429 Too Many Requests errors.

3. Device Fingerprinting

Many websites use sophisticated techniques to detect unique attributes of a browser and device. This includes screen resolution, installed plugins, and system fonts. If a scraper runs on a known bot signature, it gets flagged.

Techniques to Overcome Bot Detection

1. IP Rotation and Proxy Management

Using a pool of rotating IPs helps avoid detection and blocking.

Use residential proxies instead of data center IPs.

Rotate IPs with each request to simulate different users.

Leverage proxy providers like Bright Data, ScraperAPI, and Smartproxy.

Implement session-based IP switching to maintain persistence.

2. Mimic Human Browsing Behavior

To appear more human-like, scrapers should:

Introduce random time delays between requests.

Use headless browsers like Puppeteer or Playwright to simulate real interactions.

Scroll pages and click elements programmatically to mimic real user behavior.

Randomize mouse movements and keyboard inputs.

Avoid loading pages at robotic speeds; introduce a natural browsing flow.

3. Bypassing CAPTCHA Challenges

Implement automated CAPTCHA-solving services like 2Captcha, Anti-Captcha, or DeathByCaptcha.

Use machine learning models to recognize and solve simple CAPTCHAs.

Avoid triggering CAPTCHAs by limiting request frequency and mimicking human navigation.

Employ AI-based CAPTCHA solvers that use pattern recognition to bypass common challenges.

4. Handling JavaScript-Rendered Content

Use Selenium, Puppeteer, or Playwright to interact with JavaScript-heavy pages.

Extract data directly from network requests instead of parsing the rendered HTML.

Load pages dynamically to prevent detection through static scrapers.

Emulate browser interactions by executing JavaScript code as real users would.

Cache previously scraped data to minimize redundant requests.

5. API-Based Extraction (Where Possible)

Some food delivery platforms offer APIs to access menu data. If available:

Check the official API documentation for pricing and access conditions.

Use API keys responsibly and avoid exceeding rate limits.

Combine API-based and web scraping approaches for optimal efficiency.

6. Using AI for Advanced Scraping

Machine learning models can help scrapers adapt to evolving anti-bot measures by:

Detecting and avoiding honeypots designed to catch bots.

Using natural language processing (NLP) to extract and categorize menu data efficiently.

Predicting changes in website structure to maintain scraper functionality.

Best Practices for Ethical Web Scraping

While overcoming bot detection is necessary, ethical web scraping ensures compliance with legal and industry standards:

Respect Robots.txt – Follow site policies on data access.

Avoid Excessive Requests – Scrape efficiently to prevent server overload.

Use Data Responsibly – Extracted data should be used for legitimate business insights only.

Maintain Transparency – If possible, obtain permission before scraping sensitive data.

Ensure Data Accuracy – Validate extracted data to avoid misleading information.

Challenges and Solutions for Long-Term Scraping Success

1. Managing Dynamic Website Changes

Food delivery platforms frequently update their website structure. Strategies to mitigate this include:

Monitoring website changes with automated UI tests.

Using XPath selectors instead of fixed HTML elements.

Implementing fallback scraping techniques in case of site modifications.

2. Avoiding Account Bans and Detection

If scraping requires logging into an account, prevent bans by:

Using multiple accounts to distribute request loads.

Avoiding excessive logins from the same device or IP.

Randomizing browser fingerprints using tools like Multilogin.

3. Cost Considerations for Large-Scale Scraping

Maintaining an advanced scraping infrastructure can be expensive. Cost optimization strategies include:

Using serverless functions to run scrapers on demand.

Choosing affordable proxy providers that balance performance and cost.

Optimizing scraper efficiency to reduce unnecessary requests.

Future Trends in Web Scraping for Food Delivery Data

As web scraping evolves, new advancements are shaping how businesses collect menu data:

AI-Powered Scrapers – Machine learning models will adapt more efficiently to website changes.

Increased Use of APIs – Companies will increasingly rely on API access instead of web scraping.

Stronger Anti-Scraping Technologies – Platforms will develop more advanced security measures.

Ethical Scraping Frameworks – Legal guidelines and compliance measures will become more standardized.

Conclusion

Uber Eats, DoorDash, and Just Eat represent great challenges for menu data scraping, mainly due to their advanced bot detection systems. Nevertheless, if IP rotation, headless browsing, solutions to CAPTCHA, and JavaScript execution methodologies, augmented with AI tools, are applied, businesses can easily scrape valuable data without incurring the wrath of anti-scraping measures.

If you are an automated and reliable web scraper, CrawlXpert is the solution for you, which specializes in tools and services to extract menu data with efficiency while staying legally and ethically compliant. The right techniques, along with updates on recent trends in web scrapping, will keep the food delivery data collection effort successful long into the foreseeable future.

Know More : https://www.crawlxpert.com/blog/scraping-menu-data-from-ubereats-doordash-and-just-eat

[groovykingcat]

The Artificial Intelligence Role in Penetration Testing and Cyber Defense

Introduction 

The internet is growing at a pace never seen before, and cyber attacks are also developing in tandem. Companies all over the world are investing in online cyber security training so that experts are equipped with the tools to protect their networks. Penetration testing, the most critical element of cybersecurity, is a preventive strategy to find out vulnerabilities before the attackers can exploit them. With the introduction of artificial intelligence (AI), penetration testing and cyber defense mechanisms are transforming and becoming better. 

This is an article on how AI is revolutionizing penetration testing and cybersecurity, its advantages, disadvantages, and future directions. Understanding what AI is doing in cybersecurity will enable cybersecurity experts to utilize AI-powered tools to further fortify their defenses against constantly changing cyberattacks. 

The Growing Importance of Penetration Testing in Cybersecurity 

Penetration testing, or ethical hacking, involves the simulation of cyberattacks to test the security stance of a company. It's a common practice in online cyber security courses as well as cybersecurity training since it enables experts to identify vulnerabilities and implement robust countermeasures. 

Legacy methods of penetration testing put a great reliance on human resources, which is labor and time-intensive. Ethical hackers have to scan manually for vulnerabilities, assess probable exploits, and emulate attacks. Although the process works, it is normally hindered by human mistake and the sheer amount of potential threats. 

The Role of AI in Cybersecurity and Penetration Testing 

1. Automated Threat Detection 

AI security systems are capable of scanning huge volumes of data in real-time to detect vulnerabilities and potential threats. AI applies machine learning algorithms to detect patterns and anomalies that are indicative of security breaches. Automated threat detection reduces the process significantly, obviating the time required to identify and respond to cyber threats, thereby enhancing the overall security standing of an organization. 

2. AI-Based Vulnerability Scanning 

Artificial intelligence-based vulnerability scanners may be employed to scan networks, systems, and applications on a continuous basis to identify security vulnerabilities. These scanners employ machine learning to enhance precision, minimize false positives, and initiate only real threats for further investigation. This feature is especially useful for online cyber security training companies, as it enables students to gain hands-on experience in vulnerability scanning based on real-life scenarios. 

3. Improved Threat Intelligence 

Threat intelligence is an essential element of cyber security. AI is capable of collecting and analyzing information from various sources, such as dark web bulletin boards, threat repositories, and network logs, and providing actionable insights. Organizations can remain proactive against new threats and modify their security strategy accordingly with AI-powered cybersecurity. 

4. Ethical Hacking with AI 

Ethical hacking demands strong technical expertise and skill, which can be supplemented using AI tools. AI may automate reconnaissance, exploit development, and post-exploitation analysis for ethical hackers. With the addition of AI security tools in ethical hacking, penetration testers can discover vulnerabilities more effectively and create better mitigation plans. 

5. Real-Time Incident Response 

One of the strongest advantages of AI in cybersecurity is its real-time incident response capability. AI security systems can detect and respond to threats before they can do extensive harm. By analyzing the patterns of attacks and predicting future threats, AI enhances the ability of an organization to prevent cyber incidents proactively. 

Benefits of AI Implementation in Cybersecurity Defense and Training 

Increased Efficiency and Accuracy 

Artificial intelligence -based cybersecurity solutions can process massive amounts of data at unprecedented rates, allowing threat detection and mitigation at an accelerated pace. This efficiency decreases the burden on cybersecurity experts so that they can concentrate on strategic decision-making and incident management. 

Cost-Effectiveness 

Penetration testing and cyber defense procedures can be greatly minimized in operational costs through automating them using AI. Companies can use their resources more efficiently, making their cybersecurity staff available for high-priority work. 

Adaptive Learning 

AI security systems learn from emerging threats and adjust their defenses in response. This ability to learn by themselves means that cybersecurity defenses stay current, even against changing cyber threats. 

Increased Hands-On Training 

Cybersecurity training sessions can incorporate AI-based simulation platforms to offer practical experience in penetration testing and cyber defense. These platforms use actual attack scenarios to enable students to gain practical experience and prepare for actual cybersecurity challenges. 

Incorporating AI in Cyber Defense: Challenges 

False Positives and False Negatives 

While AI improves the efficiency of threat detection, it is not infallible. AI-powered security software sometimes triggers false alarms or fails to detect sophisticated cyber attacks. AI models need continuous monitoring and adjustment to make them more accurate. 

Dependence on Data Quality 

AI systems depend on large data sets in order to operate efficiently. Outdated or incorrect data can undermine the efficacy of AI-based security systems. Organizations have to make sure that their AI models are trained on current and extensive cybersecurity data sets. 

Ethical and Legal Issues 

The use of AI in penetration testing and cyber protection is regulated by legal and moral issues. The organizations must ensure that AI-based penetration testing solutions are used responsibly and comply with the regulatory requirements. 

Future Trends in AI-Powered Cybersecurity 

With advancing AI technology, so will its application in cybersecurity. Some of the future trends are: 

AI-Powered Autonomous Security Systems: Emerging cybersecurity systems might utilize completely autonomous AI systems capable of identifying, analyzing, and eliminating threats on their own without any human interaction. 

AI-Powered Security Orchestration:AI will be utilized to automate and orchestrate security solutions so that processes of threat response are made more efficient. 

AI-Augmented Cybersecurity Training: AI-enabled virtual labs and simulation platforms will be a critical part of cybersecurity training programs, offering students interactive hands-on training. 

Quantum Computing and AI Security: With the growth of quantum computing, AI will be at the center of the creation of quantum-resistant cybersecurity regulations.  

Conclusion  

The use of AI for penetration testing and cyber defense is transforming the landscape of cybersecurity. AI security tools improve threat detection, automate vulnerability scanning, and enhance incident response. Organisations are better positioned to enhance their cybersecurity positioning and remain ahead of new threats with the use of AI security tools.  

For working professionals who want to enhance their cybersecurity skills, one must take online cyber security training. Online platforms such as Guruface provide detailed cybersecurity training courses, teaching and practical experience that is necessary to excel in this profession. Since cyber attacks are evolving continuously, investment in cybersecurity training and ethical hacking courses is essential so that one has a strong defense system against cyber attacks.

[lencykorien]

Enterprise Guide to IoT Penetration Testing: Tools, Techniques, and Risk Reduction

The Internet of Things (IoT) has transformed our homes and workplaces but at what cost?  

With billions of connected devices, hackers have more entry points than ever. IoT penetration testing is your best defense, uncovering vulnerabilities before cybercriminals do. But where do you start? Discover the top tools, techniques, and expert strategies to safeguard your IoT ecosystem. Don’t wait for a breach, stay one step ahead.  

Read on to fortify your devices now! 

Why IoT Penetration Testing is Critical 

IoT devices often lack robust security by design. Many run on outdated firmware, use default credentials, or have unsecured communication channels. A single vulnerable device can expose an entire network. 

Real-world examples of IoT vulnerabilities: 

Mirai Botnet (2016): Exploited default credentials in IP cameras and DVRs, launching massive DDoS attacks.

Stuxnet (2010): Targeted industrial IoT systems, causing physical damage to nuclear centrifuges.

Smart Home Hacks: Researchers have demonstrated attacks on smart locks, thermostats, and even baby monitors.

These incidents highlight why IoT security assessment must be proactive, not reactive. 

IoT Penetration Testing Methodology 

A structured approach ensures thorough testing while minimizing risks to operational systems. 

Reconnaissance & Information Gathering

Identify all IoT devices (smart cameras, sensors, gateways). 

Use tools like Nmap, Shodan, and Wireshark to map network traffic. 

Extract firmware using Binwalk or Firmware Analysis Toolkit (FAT). 

Vulnerability Assessment

Scan for weak credentials, outdated protocols (e.g., Telnet, FTP), and unpatched CVEs. 

Tools: OpenVAS, Nessus, OWASP ZAP. 

Exploitation & Post-Exploitation

Attempt to bypass authentication, escalate privileges, or intercept data. 

Use Metasploit Framework, ExploitDB, or custom scripts. 

Test hardware interfaces (UART, JTAG) if physical access is possible. 

Reporting & Remediation

Document findings with risk ratings (Critical/High/Medium/Low). 

Recommend patches, network segmentation, or encryption upgrades. 

DID YOU KNOW? 

During the forecast period, the global IoT security market is expected to expand significantly, with projections indicating growth from USD 24.2 billion in 2024 to USD 56.2 billion by 2029, reflecting a CAGR of 18.4%. 

[ Are You Looking: DevOps Services ]

Best Open-Source Tools for IoT Penetration Testing 

Discover the top tools for assessing IoT security, from firmware analysis to network exploitation. These open-source solutions help uncover vulnerabilities before attackers do. 

Firmware Analysis – Binwalk & Firmadyne

Binwalk extracts firmware binaries to analyze file systems. 

Firmadyne emulates firmware to detect vulnerabilities. 

Network Traffic Analysis – Wireshark & Tcpdump

Inspect unencrypted MQTT, CoAP, or HTTP traffic. 

Exploitation Frameworks – Metasploit & IoTGoat

Metasploit has modules for IoT-specific exploits. 

IoTGoat is a deliberately vulnerable IoT environment for practice. 

Hardware Hacking – JTAGulator & Bus Pirate

Identify debug ports (UART, SPI, I2C) for firmware dumping. 

Password Cracking – Hydra & Hashcat

Bruteforce weak credentials on web interfaces or SSH. 

[ Good Read: AWS For Beginners ]

Real-World IoT Attack Scenarios & Mitigations 

Explore how attackers exploit weak IoT security from hijacked smart cameras to unencrypted medical devices and learn actionable fixes to prevent breaches. 

Case 1: Weak Authentication in Smart Cameras 

Vulnerability: Default admin:password combinations. 

Exploit: Attackers gain live video access. 

Fix: Enforce strong passwords & multi-factor authentication (MFA). 

Case 2: Unencrypted MQTT Protocols 

Vulnerability: Smart sensors transmit data in plaintext. 

Exploit: Man-in-the-middle (MITM) attacks steal sensitive data. 

Fix: Use TLS encryption and certificate-based authentication. 

Case 3: Outdated Firmware in Medical IoT 

Vulnerability: Unpatched CVEs in insulin pumps. 

Exploit: Remote code execution (RCE) risks patient safety. 

Fix: Automated firmware updates with integrity checks. 

Key Takeaways for Decision-Makers 

Security leaders must enforce robust IoT policies, align penetration testing with business risk, and foster collaboration between IT and OT teams to ensure long-term resilience. 

Prioritize Security by Design: Ensure vendors follow OWASP IoT Top 10 guidelines.

Segment IoT Networks: Isolate critical devices from enterprise IT systems.

Conduct Regular Pen Tests: Schedule IoT penetration testing at least annually.

Invest in Threat Monitoring: Deploy SIEM solutions like ELK Stack or Splunk for anomaly detection.

You can check more info about: Enterprise Guide to IoT Penetration Testing.

DevOps Explained.

Platform Engineering Services.

[react-js-state-1]

How EDSPL Helps Organizations Stay Resilient in the Age of Ransomware

In today’s hyperconnected world, ransomware is no longer just a cybersecurity buzzword — it's a real and rising threat that can bring businesses to their knees in minutes. One wrong click, and an entire network can be encrypted, customer data held hostage, and operations disrupted indefinitely. With ransom demands soaring and threat actors growing more sophisticated, organizations need more than just antivirus software — they need real-time resilience.

This is where EDSPL  steps in — not just as a cybersecurity service provider, but as a resilience partner committed to keeping businesses secure, prepared, and always one step ahead of cybercriminals.

In this blog, we dive into how EDSPL helps organizations stay resilient in the age of ransomware, the layered strategies it uses, and why modern businesses trust EDSPL to safeguard their most critical assets.

Understanding the Modern Ransomware Threat

Ransomware isn’t what it used to be.

Earlier, it was a nuisance. Now, it’s an enterprise-killer.

Today’s ransomware variants are part of multi-stage attacks, often combining phishing, privilege escalation, lateral movement, and even data exfiltration before the actual encryption begins. Threat actors don't just lock your files — they steal your data and threaten to leak it unless a ransom is paid.

Organizations face:

Double extortion (encryption + data leak threats)

Ransomware-as-a-Service (RaaS) platforms making attacks easier

Supply chain attacks targeting third-party vulnerabilities

Targeted attacks on critical sectors like healthcare, finance, and manufacturing

To stay resilient, organizations must go beyond detection. They must adopt a proactive, multi-layered cybersecurity approach — the kind EDSPL specializes in.

EDSPL: Your Ransomware Resilience Ally

EDSPL isn’t just responding to ransomware — it’s anticipating it. With years of experience in network, endpoint, email, cloud, and application security, EDSPL has developed an integrated defense ecosystem that ensures threats are neutralized before they can impact business operations.

Here’s how EDSPL helps organizations stay ransomware-resilient:

1. 24x7 SOC Monitoring: The First Line of Defense

At the heart of EDSPL’s protection strategy is its Security Operations Center (SOC) — a 24x7 surveillance and threat response hub that monitors, detects, and mitigates threats in real-time.

Advanced SIEM integration for log analysis and behavioral anomalies

Real-time alerts and incident response

Threat intelligence correlation to detect known and unknown ransomware variants

Automated playbooks via SOAR to accelerate response

Ransomware attacks don’t respect business hours — and neither does EDSPL.

2. Zero Trust Framework: Trust Nothing, Verify Everything

Ransomware often enters through trusted paths — a familiar email, a known user, or a compromised device. That’s why EDSPL enforces Zero Trust Architecture (ZTA) for all clients.

Identity and Access Management (IAM) to verify users and devices

Micro-segmentation to prevent lateral movement post-breach

Multi-factor authentication (MFA) across critical systems

Continuous verification for every access attempt

By ensuring never trust, always verify, EDSPL stops ransomware from spreading even if it slips past initial defenses.

3. Vulnerability Assessment & Penetration Testing (VAPT)

One common ransomware entry point? Unpatched vulnerabilities.

EDSPL conducts regular VAPT services to uncover weaknesses in:

Web applications

Internal and external networks

Firewalls and endpoint configurations

Cloud and container environments

Reports aren’t just technical — they’re actionable, helping IT teams fix issues fast and prevent ransomware footholds.

4. Ransomware Simulation & BAS (Breach and Attack Simulation)

Being “secure” is one thing — but how do you test resilience?

EDSPL uses Breach and Attack Simulation (BAS) tools to emulate real-world ransomware scenarios.

Simulates known and zero-day ransomware techniques

Tests endpoint, email, and network security readiness

Identifies gaps in detection and response workflows

These drills make teams more prepared and systems more resilient — so when the real thing hits, you already know how to handle it.

5. Endpoint Detection and Response (EDR) + XDR Integration

Ransomware often lands on endpoints — laptops, servers, even IoT devices. EDSPL deploys EDR and XDR tools to detect and stop ransomware at the endpoint level.

Behavioral analytics to flag unusual file encryption

Automated isolation of compromised machines

Rollback capabilities to reverse ransomware activity

Extended detection across cloud, apps, and email via XDR

This allows for early intervention — the key to minimizing ransomware damage.

6. Cloud & Email Security

With hybrid work and SaaS adoption, cloud and email are prime ransomware targets. EDSPL integrates:

Cloud-native security tools to monitor AWS, Azure, and GCP

Cloud-Native Application Protection Platforms (CNAPP) for container and workload protection

Advanced email filtering with real-time link sandboxing

AI-based phishing detection

This closes two of the biggest ransomware gateways — phishing and cloud misconfigurations.

7. Immutable Backups and Disaster Recovery Planning

Even with the best defenses, ransomware might strike. EDSPL ensures clients have air-gapped, immutable backups that can’t be tampered with - not even by attackers.

Daily and weekly snapshots

Cloud and on-prem backup strategy

Fast recovery plans that reduce downtime from days to hours

With EDSPL, even if data is encrypted, business doesn’t stop.

8. Security Awareness & Workforce Training

Technology alone isn’t enough. Ransomware often succeeds because humans make mistakes - clicking malicious links, opening fake invoices, or using weak passwords.

EDSPL delivers:

Regular phishing simulations

Employee training sessions

Role-based cybersecurity education

Gamified learning platforms to keep staff engaged

An informed employee is your best defense — and EDSPL turns your workforce into cyber-aware first responders.

Real-World Impact: What EDSPL Clients Say

Here’s what clients say after partnering with EDSPL for ransomware resilience:

"Our healthcare system faced three ransomware attempts in a quarter. EDSPL's SOC stopped all of them before they reached patient data." — CIO, Healthcare Firm

"The ransomware drill exposed a critical email configuration we never knew was vulnerable. Thanks to EDSPL, we fixed it in time." — CISO, Financial Services Company

"EDSPL didn’t just sell us tools — they helped us build a culture of cybersecurity." — IT Head, Manufacturing Enterprise

Why Ransomware Resilience Needs a Strategic Partner

The age of ransomware requires more than patchwork solutions. Businesses need a strategic cybersecurity ally who:

✅ Understands evolving threat landscapes ✅ Offers continuous monitoring and rapid response ✅ Builds cybersecurity into business DNA ✅ Helps plan for the worst — while preventing it altogether

EDSPL is that ally.

Whether you're a startup, an SME, or a large enterprise — EDSPL brings the expertise, tools, and mindset needed to stay resilient, bounce back faster, and never lose control of your business in the face of ransomware.

Conclusion: Stay Resilient, Stay Ahead — With EDSPL

In an era where ransomware can cripple operations in minutes, resilience isn’t optional — it’s a competitive advantage.

EDSPL doesn’t just protect — it prepares, educates, simulates, and empowers. From advanced SOC operations to human-centric training, from Zero Trust enforcement to disaster recovery, EDSPL delivers a 360° cybersecurity approach tailored for modern challenges.

When ransomware knocks, your response matters. With EDSPL, your answer is ready — and stronger than ever.

Explore our full range of services — including routing, switching, data center switching, compute, storage, mobility, and managed & maintenance solutions.

Have questions? Reach us or get in touch today.

Let’s build a safer, stronger digital future — together. Explore our background vision and see how we’re shaping cybersecurity for tomorrow.\

[renatoferreiradasilva]

Critical Comparison Between Neuromorphic Architectures and Spectral Optoelectronic Hardware for Physical Artificial Intelligence

\documentclass[11pt]{article} \usepackage[utf8]{inputenc} \usepackage[english]{babel} \usepackage{amsmath, amssymb, amsfonts} \usepackage{geometry} \usepackage{graphicx} \usepackage{hyperref} \geometry{margin=1in} \title{Critical Comparison Between Neuromorphic Architectures and Spectral Optoelectronic Hardware for Physical Artificial Intelligence} \author{Renato Ferreira da Silva \ \texttt{renatoferreiradasilva1980@yahoo.com} \ ORCID: \href{https://orcid.org/0009-0003-8908-481X}{0009-0003-8908-481X}} \date{\today}

\begin{document}

\maketitle

\begin{abstract} This article presents a comparative analysis between two next-generation computing paradigms, defined by their ability to exceed conventional CMOS limits in latency, power efficiency, and reconfigurability. These include commercial neuromorphic chips, such as Intel Loihi and IBM TrueNorth, and an emerging optoelectronic hardware architecture based on spectral operators. The comparison includes architecture, energy efficiency, scalability, latency, adaptability, and application domains. We argue that the spectral paradigm not only overcomes the limitations of spiking neural networks in terms of reconfigurability and speed, but also offers a continuous and physical model of inference suitable for embedded AI, physical simulations, and high-density symbolic computing. \end{abstract}

\section{Introduction} The demand for more efficient, faster, and energy-sustainable computing architectures has led to the development of neuromorphic chips that emulate biological neural networks with high parallelism and low power. Although promising, these devices operate with discrete spike-based logic and face limitations in continuous and symbolic tasks. These limitations are particularly problematic in domains requiring real-time analog signal processing (e.g., high-frequency sensor fusion in autonomous vehicles), symbolic manipulation (e.g., theorem proving or symbolic AI planning), or continuous dynamical system modeling (e.g., fluid dynamics in climate models). In parallel, a new approach emerges based on spectral operators — inspired by the Hilbert–Pólya conjecture — which models computation as the physical evolution of eigenvalues in reconfigurable optical structures. This approach enables the processing of information in a fundamentally analog and physically continuous domain.

\section{Theoretical Foundations} \subsection{Spectral Optoelectronic Hardware} The spectral architecture models computation as the eigenvalue dynamics of a Schrödinger operator: [ \mathcal{L}\psi(x) = -\frac{d^2}{dx^2}\psi(x) + V(x)\psi(x) = \lambda \psi(x), ] where ( V(x) ), parameterized by Hermite polynomials, is adjusted via optical modulation. The eigenvalues ( \lambda ) correspond to computational states, enabling continuous analog processing. This modeling approach is advantageous because it allows computation to be directly grounded in physical processes governed by partial differential equations, offering superior performance for tasks involving continuous state spaces, wave propagation, or quantum-inspired inference.

\subsection{Neuromorphic Chips} \begin{itemize} \item \textbf{Intel Loihi}: Implements spiking neural networks with on-chip STDP learning, where synapses adjust weights based on spike timing. Open-source documentation provides access to architectural specifications, allowing adaptation to different learning rules and topologies. \item \textbf{IBM TrueNorth}: Focused on static inference, with 1 million neurons in fixed connectivity, lacking real-time adaptation. The system emphasizes energy-efficient classification tasks but is constrained in dynamic reconfiguration. \end{itemize}

\section{Technical Comparison} \begin{table}[h!] \centering \begin{tabular}{|l|c|c|c|} \hline \textbf{Criterion} & \textbf{Spectral Opto.} & \textbf{Intel Loihi} & \textbf{IBM TrueNorth} \ \hline Intra-chip latency & 21 ps & 0.5--1 \textmu s & 1--2 ms \ Energy per operation & 5 fJ & \textasciitilde1--20 pJ & \textasciitilde26 pJ \ Reconfigurability & Physical (optical) + logic & Adaptive via spikes & Static \ 3D Scalability & High (optical vias) & Moderate & Low \ Unit Cost & High (photonic PDKs, \$5000+) & Moderate (\$1000–2000) & Low (\$100s) \ Application Domain & Physical sim, continuous AI & Robotics, IoT & Static classification \ \hline \end{tabular} \caption{Detailed technical comparison between architectures.} \end{table}

\section{Use Cases} \subsection{Quantum Materials Simulation} Spectral hardware solves nonlinear Schrödinger equations in real time, whereas neuromorphic systems are limited to discrete approximations. Example: modeling superconductivity in graphene under variable boundary and topological constraints.

\subsection{AI-Powered Medical Diagnosis} Coupled optical sensors detect biomarkers via Raman spectroscopy, with local processing in 21 ps — ideal for high-precision robotic surgery. This setup enables continuous patient-state monitoring without requiring digital post-processing.

\section{Challenges and Limitations} \subsection{Fabrication Complexity} 3D optical via lithography requires submicron precision (<10 nm), increasing costs. Standardized PDKs (e.g., AIM Photonics) and foundry collaborations can mitigate these barriers and enable more affordable prototyping.

\subsection{Optical Nonlinearities} Effects such as four-wave mixing (FWM) degrade signals in dense WDM. Compensation techniques include photonic neural networks and digital pre-emphasis filters optimized via reinforcement learning frameworks.

\section{Conclusion and Outlook} The spectral optoelectronic architecture offers ultralow latency (21 ps) and energy efficiency (5 fJ/op), outperforming neuromorphic chips in continuous applications. Fabrication and nonlinearity challenges require advances in integrated photonics and optical DSP. Future work should explore integration with noncommutative geometry to provide algebraic invariants over spectral states and enable hybrid quantum-classical information processing.

\end{document}