#cybersecurity framework

[jcmarchi]

GenAI Is Transforming Cybersecurity

New Post has been published on https://thedigitalinsider.com/genai-is-transforming-cybersecurity/

GenAI Is Transforming Cybersecurity

The cybersecurity industry has always faced an uphill battle, and the challenges today are steeper and more widespread than ever before.

Though organizations are adopting more and more digital tools to optimize operations and increase efficiency, they are simultaneously increasing their attack surface – the extent of vulnerable entry points hackers might exploit – making them more susceptible to rising cyber threats, even as their defenses improve. Even worse, organizations are having to face this rapidly growing array of threats amid a shortage of skilled cybersecurity professionals.

Fortunately, innovations in artificial intelligence, especially Generative AI (GenAI), are offering solutions to some of the cybersecurity industry’s most complex problems. But we’ve only scratched the surface – while GenAI’s role in cybersecurity is expected to grow exponentially in coming years, there remain untapped opportunities where this technology could further enhance progress.

Current Applications and Benefits of GenAI in Cybersecurity

One of GenAI’s most significant areas of impact on the cybersecurity industry is in its ability to provide automated insights that were previously unattainable.

The initial stages of data processing, filtering and labeling are still often performed by older generations of machine learning, which excel at processing and analyzing vast amounts of data, such as sorting through huge sets of vulnerability alerts and identifying potential anomalies. GenAI’s true advantage lies in what happens afterwards.

Once data has been preprocessed and scoped, GenAI can step in to provide advanced reasoning capabilities that go beyond what previous-generation AI can achieve. GenAI tools offer deeper contextualization, more accurate predictions, and nuanced insights that are unattainable with older technologies.

For instance, after a large dataset – say, millions of documents – is processed, filtered and labeled through other means, GenAI provides an additional layer of analysis, validation and context on top of the curated data, determining their relevance, urgency, and potential security risks. It can even iterate on its understanding, generating additional context by looking at other data sources, refining its decision-making capabilities over time. This layered approach goes beyond simply processing data and shifts the focus to advanced reasoning and adaptive analysis.

Challenges and Limitations

Despite the recent improvements, many challenges remain when it comes to integrating GenAI into existing cybersecurity solutions.

First, AI’s capabilities are often embraced with unrealistic expectations, leading to the risk of over-reliance and under-engineering. AI is neither magical nor perfect. It’s no secret that GenAI often produces inaccurate results due to biased data inputs or incorrect outputs, known as hallucinations.

These systems require rigorous engineering to be accurate and effective and must be viewed as one element of a broader cybersecurity framework, rather than a total replacement. In more casual situations or non-professional uses of GenAI, hallucinations can be inconsequential, even comedic. But in the world of cybersecurity, hallucinations and biased results can have catastrophic consequences that can lead to accidental exposure of critical assets, breaches, and extensive reputational and financial damage.

Untapped Opportunities: AI with Agency

Challenges shouldn’t deter organizations from embracing AI solutions. Technology is still evolving and opportunities for AI to enhance cybersecurity will continue to grow.

GenAI’s ability to reason and draw insights from data will become more advanced in the coming years, including recognizing trends and suggesting actions. Today, we’re already seeing the impact advanced AI is having by simplifying and expediting processes by proactively suggesting actions and strategic next steps, allowing teams to focus less on planning and more on productivity. As GenAI’s reasoning capabilities continue to improve and can better mimic the thought process of security analysts, it will act as an extension of human expertise, making complex cyber more efficient.

In a security posture evaluation, an AI agent can act with true agency, autonomously making contextual decisions as it explores interconnected systems—such as Okta, GitHub, Jenkins, and AWS. Rather than relying on static rules, the AI agent dynamically makes its way through the ecosystem, identifying patterns, adjusting priorities, and focusing on areas with heightened security risks. For instance, the agent might identify a vector where permissions in Okta allow developers broad access through GitHub to Jenkins, and finally to AWS. Recognizing this path as a potential risk for insecure code reaching production, the agent can autonomously decide to probe further, focusing on specific permissions, workflows, and security controls that could be weak points.

By incorporating retrieval-augmented generation (RAG), the agent leverages both external and internal data sources—drawing from recent vulnerability reports, best practices, and even the organization’s specific configurations to shape its exploration. When RAG surfaces insights on common security gaps in CI/CD pipelines, for instance, the agent can incorporate this knowledge into its analysis, adjusting its decisions in real time to emphasize those areas where risk factors converge.

Additionally, fine-tuning can enhance the AI agent’s autonomy by tailoring its decision-making to the unique environment it operates in. Typically, fin-tuning is performed using specialized data that applies across a wide range of use cases rather than data from a specific customer’s environment. However, in certain cases such as single tenant products, fine-tuning may be applied to a specific customer’s data to allow the agent to internalize specific security nuances, making its choices even more informed and nuanced over time. This approach enables the agent to learn from past security assessments, refining its understanding of how to prioritize particular vectors, such as those involving direct connections from development environments to production.

With the combination of agency, RAG, and fine-tuning, this agent moves beyond traditional detection to proactive and adaptive analysis, mirroring the decision-making processes of skilled human analysts. This creates a more nuanced, context-aware approach to security, where AI doesn’t just react but anticipates risks and adjusts accordingly, much like a human expert might.

AI-Driven Alert Prioritization

Another area where AI-based approaches can make a significant impact is in reducing alert fatigue. AI could help reduce alert fatigue by collaboratively filtering and prioritizing alerts based on the specific structure and risks within an organization. Rather than applying a blanket approach to all security events, these AI agents analyze each activity within its broader context and communicate with one another to surface alerts that indicate genuine security concerns.

For example, instead of triggering alerts on all access permission changes, one agent might identify a sensitive area impacted by a modification, while another assesses the history of similar changes to gauge risk. Together, these agents focus on configurations or activities that truly elevate security risks, helping security teams avoid noise from lower-priority events.

By continuously learning from both external threat intelligence and internal patterns, this system of agents adapts to emerging risks and trends across the organization. With a shared understanding of contextual factors, the agents can refine alerting in real time, shifting from a flood of notifications to a streamlined flow that highlights critical insights.

This collaborative, context-sensitive approach enables security teams to concentrate on high-priority issues, reducing the cognitive load of managing alerts and enhancing operational efficiency. By adopting a network of agents that communicate and adapt based on nuanced, real-time factors, organizations can make meaningful strides in mitigating the challenges of alert fatigue, ultimately elevating the effectiveness of security operations.

The Future of Cybersecurity

As the digital landscape grows, so does the sophistication and frequency of cyberthreats. The integration of GenAI into cybersecurity strategies is already proving transformative in meeting these new threats.

But these tools are not a cure-all for all of the cyber industry’s challenges. Organizations must be aware of GenAI’s limitations and therefore take an approach where AI complements human expertise rather than replaces it. Those who adopt AI cybersecurity tools with an open mind and strategic eye will help shape the future of industry into something more effective and secure than ever before.

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The Hidden Hero of Software Success: Inside EDSPL’s Unmatched Testing & QA Framework

When a software product goes live without glitches, users often marvel at its speed, design, or functionality. What they don’t see is the invisible layer of discipline, precision, and strategy that made it possible — Testing and Quality Assurance (QA). At EDSPL, QA isn’t just a step in the process; it’s the very spine that supports software integrity from start to finish.

As digital applications grow more interconnected, especially with advancements in network security, cloud security, application security, and infrastructure domains like routing, switching, and mobility, quality assurance becomes the glue holding it all together. EDSPL’s comprehensive QA and testing framework has been fine-tuned to ensure consistent performance, reliability, and security — no matter how complex the software environment.

Let’s go behind the scenes of EDSPL’s QA approach to understand why it is a hidden hero in modern software success.

Why QA Is More Crucial Than Ever

The software ecosystem is no longer siloed. Enterprises now rely on integrated systems that span cloud platforms, APIs, mobile devices, and legacy systems — all of which need to work in sync without error.

From safeguarding sensitive data through network security protocols to validating business-critical workflows on the cloud, EDSPL ensures that testing extends beyond functionality. It is a guardrail for security, compliance, performance, and user trust.

Without rigorous QA, a minor bug in a login screen could lead to a vulnerability that compromises an entire system. EDSPL prevents these catastrophes by placing QA at the heart of its delivery model.

QA Touchpoints Across EDSPL’s Service Spectrum

Let’s explore how EDSPL’s testing excellence integrates into different service domains.

1. Ensuring Safe Digital Highways through Network Security

In an era where cyber threats can cripple operations, QA isn’t just about validating code — it’s about verifying that security holds up under stress. EDSPL incorporates penetration testing, vulnerability assessments, and simulation-based security testing into its QA model to validate:

Firewall behavior

Data leakage prevention

Encryption mechanisms

Network segmentation efficacy

By integrating QA with network security, EDSPL ensures clients launch digitally fortified applications.

2. Reliable Application Delivery on the Cloud

Cloud-native and hybrid applications are central to enterprise growth, but they also introduce shared responsibility models. EDSPL’s QA ensures that deployment across cloud platforms is:

Secure from misconfigurations

Optimized for performance

Compliant with governance standards

Whether it’s AWS, Azure, or GCP, EDSPL’s QA framework validates data access policies, scalability limits, and containerized environments. This ensures smooth delivery across the cloud with airtight cloud security guarantees.

3. Stress-Testing Application Security

Modern applications are constantly exposed to APIs, users, and third-party integrations. EDSPL includes robust application security testing as part of QA by simulating real-world attacks and identifying:

Cross-site scripting (XSS) vulnerabilities

SQL injection points

Broken authentication scenarios

API endpoint weaknesses

By using both manual and automated testing methods, EDSPL ensures applications are resilient to threat vectors and function smoothly across platforms.

4. Validating Enterprise Network Logic through Routing and Switching

Routing and switching are the operational backbone of any connected system. When software solutions interact with infrastructure-level components, QA plays a key role in ensuring:

Data packets travel securely and efficiently

VLANs are correctly configured

Dynamic routing protocols function without interruption

Failover and redundancy mechanisms are effective

EDSPL’s QA team uses emulators and simulation tools to test against varied network topologies and configurations. This level of QA ensures that software remains robust across different environments.

5. Securing Agile Teams on the Move with Mobility Testing

With a growing mobile workforce, enterprise applications must be optimized for mobile-first use cases. EDSPL’s QA team conducts deep mobility testing that includes:

Device compatibility across Android/iOS

Network condition simulation (3G/4G/5G/Wi-Fi)

Real-time responsiveness

Security over public networks

Mobile-specific security testing (root detection, data sandboxing, etc.)

This ensures that enterprise mobility solutions are secure, efficient, and universally accessible.

6. QA for Integrated Services

At its core, EDSPL offers an integrated suite of IT and software services. QA is embedded across all of them — from full-stack development to API design, cloud deployment, infrastructure automation, and cybersecurity.

Key QA activities include:

Regression testing for evolving features

Functional and integration testing across service boundaries

Automation testing to reduce human error

Performance benchmarking under realistic conditions

Whether it's launching a government portal or a fintech app, EDSPL's services rely on QA to deliver dependable digital experiences.

The QA Framework: Built for Resilience and Speed

EDSPL has invested in building a QA framework that balances speed with precision. Here's what defines it:

1. Shift-Left Testing

QA begins during requirements gathering, not after development. This reduces costs, eliminates rework, and aligns product strategy with user needs.

2. Continuous Integration & Automated Testing

Automation tools are deeply integrated with CI/CD pipelines to support agile delivery. Tests run with every commit, giving developers instant feedback and reducing deployment delays.

3. Security-First QA Culture

Security checks are integrated into every QA cycle, not treated as separate audits. This creates a proactive defense mechanism and encourages developers to write secure code from day one.

4. Test Data Management

EDSPL uses production-simulated datasets to ensure test scenarios reflect real-world user behavior. This improves defect prediction and minimizes surprises post-launch.

5. Reporting & Metrics

QA results are analyzed using KPIs like defect leakage rate, test coverage, mean time to resolve, and user-reported issue rates. These metrics drive continuous improvement.

Case Studies: Impact Through Quality

A National Education Platform

EDSPL was tasked with launching a high-traffic education portal with live video, assessments, and resource sharing. The QA team created an end-to-end test architecture including performance, usability, and application security testing.

Results:

99.9% uptime during national rollout

Zero critical issues in the first 90 days

100K+ concurrent users supported with no lag

A Banking App with Cloud-Native Architecture

A private bank chose EDSPL for QA on a mobile app deployed on the cloud. The QA team validated the app’s security posture, cloud security, and resilience under high load.

Results:

Passed all OWASP compliance checks

Load testing confirmed 5000+ concurrent sessions

Automated testing reduced release cycles by 40%

Future-Ready QA: AI, RPA, and Autonomous Testing

EDSPL’s QA roadmap includes:

AI-based test generation from user behavior patterns

Self-healing automation for flaky test cases

RPA integration for business process validation

Predictive QA using machine learning to forecast defects

These capabilities ensure that EDSPL’s QA framework not only adapts to today’s demands but also evolves with future technologies.

Conclusion: Behind Every Great Software Is Greater QA

While marketing, development, and design get much of the spotlight, software success is impossible without a strong QA foundation. At EDSPL, testing is not a checkbox — it’s a commitment to excellence, safety, and performance.

From network security to cloud security, from routing to mobility, QA is integrated into every layer of the digital infrastructure. It is the thread that ties all services together into a reliable, secure, and scalable product offering.

When businesses choose EDSPL, they’re not just buying software — they’re investing in peace of mind, powered by an unmatched QA framework.

Visit this website to know more — https://www.edspl.net/

[leonbasinwriter]

GTM in 2025 – The Sales Strategy No One Talks About

@leonbasinwriter Cybersecurity sales is changing. Fast. Buyers don’t trust traditional pitches. AI is reshaping how decisions are made. Vendors who rely on outdated playbooks will struggle to close deals. In 2025, GTM isn’t just about features and trust—it’s about timing, storytelling, and AI-driven execution. Businesses don’t buy security. They buy certainty.  The question is, are you…

[omnistructca]

At Omnistruct, we believe strong cybersecurity frameworks are essential for protecting sensitive data and maintaining compliance. Our team helps businesses integrate NIST, ISO 27001, and CIS controls to minimize risks and fortify security defenses. With our expert guidance, you can navigate the complexities of cybersecurity with confidence.

Omnistruct 2740 Fulton Ave #101–02, Sacramento, CA 95821 (916) 484–1111

My Official Website: https://omnistruct.com/ Google Plus Listing: https://www.google.com/maps?cid=13211916182329889294

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[disasm]

2.0 Experimental Advanced. Lacks access to real-time info and some Gemini features.

Okay, here is a guide that combines the intricate world of trauma processing with the technical realm of network security, using the framework we've discussed. This guide is designed for individuals seeking to understand both fields and how they intersect, offering a unique lens through which to view the resilience of both human and digital systems.

A Bridge Between Worlds: Understanding Trauma Processing Through the Lens of Network Security

Introduction:

This guide explores the fascinating parallels between trauma processing in humans and security protocols in computer networks. By understanding these connections, we can gain deeper insights into the complexities of healing, resilience, and the intricate systems that govern both our internal landscapes and the digital world we inhabit.

This framework uses concepts from network security to illuminate the processes involved in trauma recovery, offering a novel perspective for therapists, technologists, and anyone interested in the intersection of these fields.

Part 1: The Foundation - Key Concepts

Before we delve into the parallels, let's define some fundamental concepts in both trauma processing and network security:

Trauma Processing:

Trauma: A deeply distressing or disturbing experience that overwhelms an individual's ability to cope, often leading to long-term negative consequences.

Triggers: Stimuli that evoke memories or sensations related to past trauma, often triggering strong emotional or physiological responses.

Safe Space: A physical or emotional environment where an individual feels secure, supported, and free from threat.

Polyvagal Theory: A model that explains the different states of the autonomic nervous system (ventral vagal, sympathetic, dorsal vagal) and their role in social engagement, stress response, and shutdown.

Attachment Theory: A psychological model that describes the dynamics of long-term relationships and how early childhood experiences shape our ability to form secure attachments.

Somatic Experiencing: A body-oriented therapeutic approach that focuses on resolving trauma held in the body.

Trauma Integration: The process of making sense of a traumatic experience, integrating it into one's life narrative, and reducing its negative impact on daily life.

Network Security:

Threat Detection: The process of identifying potential security threats to a network or system.

Vulnerability Scanning: The process of identifying weaknesses in a system or network that could be exploited by attackers.

Network Topology: The arrangement of elements (links, nodes, etc.) of a communication network.

TCP/IP Stack: A suite of communication protocols that govern how data is transmitted across the internet.

Packet Routing: The process of forwarding network packets from a source to a destination.

Distributed Cache: A system that stores data across multiple nodes to improve performance and resilience.

Security Policies: Rules and guidelines that govern access to and use of network resources.

Part 2: Mapping the Parallels - Trauma and Network Security

Threat Detection | Nmap Scanning | Trauma: Recognizing past traumatic events. Network: Discovering hosts and services on a network to identify potential vulnerabilities. Connection: Both involve reconnaissance to understand the landscape and identify potential threats. Continuous Environment Assessment | Continuous Monitoring | Trauma: Ongoing self-awareness and monitoring of one's internal state (emotions, sensations, thoughts). Network: Ongoing vulnerability scanning, intrusion detection, and log analysis. Connection: Emphasizes the importance of vigilance and awareness. Trigger Checking | Port/Vulnerability Scanning | Trauma: Identifying stimuli that evoke strong responses related to past trauma. Network: Identifying open ports and known weaknesses. Connection: Both involve identifying specific points of vulnerability. Safe Space Verification | Network Topology Mapping | Trauma: Identifying resources, relationships, and environments that provide security and stability. Network: Understanding the network infrastructure and how data flows. Connection: Understanding the environment's structure for safety and navigation. Response Protocols | TCP/IP Stack | Trauma: Learned and often automatic responses developed in response to trauma. Network: Protocols governing data transmission. Connection: Established protocols dictate how the system responds to stimuli and how communication occurs. State Transitions (Polyvagal Levels) | Packet Routing | Trauma: Regulating and transitioning between different states of the autonomic nervous system. Network: Directing network traffic efficiently. Connection: Navigating different states or pathways within a complex system for appropriate responses. Connection Handling | Attachment Dynamics | Trauma: How early experiences shape our ability to form relationships, impacted by trauma. Network: Establishing, maintaining, and terminating connections. Connection: Dynamics of connection and relationship, whether interpersonal or network-based. Memory Storage | Distributed Cache | Trauma: Fragmented memories stored across the brain and body. Network: Data stored across multiple nodes. Connection: Highlights the distributed nature of memory and information, emphasizing efficient retrieval and integration. Sharding (Somatic/Emotional/Cognitive Stores) | Database Sharding | Trauma: Different aspects of memories stored in the body, emotions, and thoughts. Network: Splitting a database into smaller, manageable pieces. Connection: Partitioning large datasets or experiences into smaller units for efficient processing. Replication for System Resilience | Data Backup and Redundancy | Trauma: Developing coping mechanisms or alternative neural pathways for survival. Network: Ensuring data availability and system resilience. Connection: Importance of backup systems and redundancy for continued functioning and recovery. Eventual Consistency in Trauma Integration | Eventual Consistency in Distributed Systems | Trauma: Gradual integration of different aspects of trauma. Network: Updates to data eventually propagate through the system. Connection: Achieving complete consistency or integration takes time; different parts may be in different states. Safety Container | Security Policies | Trauma: A secure environment with clear boundaries, trust, and safety protocols. Network: Rules governing access and resource use. Connection: Establishing rules and boundaries to create a safe environment for operation and processing. Minimum Viable Security Requirements | Necessary Safety Protocols for Trauma Processing | Trauma: Essential safety measures needed to begin and continue processing. Network: Baseline security controls to protect a system. Connection: Foundational level of safety and security for effective functioning and progress.

Part 3: Deep Dive - The Polyvagal Theory and Packet Routing

Let's explore a particularly insightful connection: the Polyvagal Theory and its analogy to packet routing in networks.

The Polyvagal Nervous System as a Network:

Ventral Vagal (Social Engagement): This state is like a secure, encrypted connection (e.g., HTTPS). It's characterized by feelings of safety, connection, and calmness. Communication is clear and efficient.

Sympathetic (Fight-or-Flight): This state is like a network under stress, where resources are mobilized for action. It's akin to prioritizing certain types of traffic during peak loads. While necessary, prolonged activation can lead to strain on the system.

Dorsal Vagal (Shutdown/Freeze): This state is like a network outage or a denial-of-service attack. The system is overwhelmed and shuts down to conserve resources. It's a protective mechanism but can lead to disconnection and immobility.

Packet Routing as Nervous System Regulation:

Just as a network router directs packets along the optimal path, our nervous system regulates our internal state by shifting between these Polyvagal states. Trauma processing often involves learning to navigate these states more effectively, spending more time in the ventral vagal state and developing healthy coping mechanisms to manage the sympathetic and dorsal vagal states.

Part 4: Practical Applications and Implications

This framework has several practical applications:

For Therapists: It provides a new language and set of metaphors to explain trauma and its effects to clients. It can also inform treatment approaches by highlighting the importance of safety, regulation, and gradual integration.

For Technologists: It offers a deeper understanding of the human element in cybersecurity, emphasizing the impact of stress and trauma on user behavior and decision-making. It can also inspire the design of more resilient and human-centered systems.

For Individuals: It provides a framework for understanding one's own experiences with trauma and the process of healing. It can empower individuals to recognize their strengths and resilience, drawing parallels to the robust systems found in the digital world.

Conclusion:

By bridging the seemingly disparate worlds of trauma processing and network security, we gain a richer understanding of both. This framework illuminates the remarkable resilience of both human and digital systems, highlighting the intricate mechanisms that allow us to adapt, heal, and thrive in the face of challenges. As we continue to explore these connections, we can develop more effective strategies for promoting healing, enhancing security, and building a more compassionate and resilient world.

[infosectrain03]

Businesses spanning diverse industries must prepare for the evolving landscape of rules and regulations. This proactive approach is crucial for effectively addressing their operations and compliance challenges. Being ready for these changes is about more than just checking off tasks. It's an important strategy to ensure businesses can last and do well in a complicated global world.

[jcmarchi]

Joe Regensburger, VP of Research, Immuta – Interview Series

New Post has been published on https://thedigitalinsider.com/joe-regensburger-vp-of-research-immuta-interview-series/

Joe Regensburger, VP of Research, Immuta – Interview Series

Joe Regensburger is currently the Vice President of Research at Immuta. Aleader in data security, Immuta enables organizations to unlock value from their cloud data by protecting it and providing secure access.

Immuta is architected to integrate seamlessly into your cloud environment, providing native integrations with the leading cloud vendors. Following the NIST cybersecurity framework, Immuta covers the majority of data security needs for most organizations.

Your educational background is in physics and applied mathematics, how did you find yourself eventually working in data science and analytics?

My graduate work field was Experimental High Energy Physics. Analyzing data in this field requires a great deal of statistical analysis, particularly separating signatures of rare events from those of more frequent background events. These skills are very similar to those required in data science.

Could you describe what your current role as VP of Research at data security leader Immuta entails?

At Immuta, we are focused on data security. This means we need to understand how data is being used, how it can be misused, and providing data professionals with the tools necessary to support their mission, while preventing misuse. So, our role involves understanding the demands and challenges of data professionals, particularly in regards to regulations and security, and helping solve those challenges. We want to lessen the regulatory demands, and enable data professionals to focus on their core mission. My role is to help develop solutions that lessen those burdens. This includes developing tools to discover sensitive data, methods to automate data classification, detect how data is being used, and create processes that enforce data policies to assure that data is being used properly.

What are the top challenges in AI Governance compared to traditional data governance?

Tech leaders have mentioned that AI governance is a natural next step and progression from data governance. That said, there are some key differences to keep in mind. First and foremost, governing AI requires a level of trust in the output of the AI system. With traditional data governance, data leaders used to easily be able to trace from an answer to a result using a traditional statistics model. With AI, traceability and lineage become a real challenge and the lines can be easily blurred. Being able to trust the outcome your AI model reaches can be negatively affected by hallucinations and confabulations, which is a unique challenge to AI that must be solved in order to ensure proper governance.

Do You Believe There is a Universal Solution to AI Governance and Data Security, or is it more case-specific?

“While I don’t think there is a one-size-fits-all approach to AI governance at this point as it pertains to securing data, there are certainly considerations data leaders should be adopting now to lay a foundation for security and governance. When it comes to governing AI, it’s really critical to have context around what the AI model is being used for and why. If you’re using AI for something more mundane with less impact, your risk calculator will be a lot lower. If you’re using AI to make decisions about healthcare or training an autonomous vehicle, your risk impact is much higher. This is similar to data governance; why data is being used is just as important as how it’s being used.

You recently wrote an article titled “Addressing the Lurking Threats of Shadow AI”. What is Shadow AI and why should enterprises take note of this?

“Shadow AI can be defined as the rogue use of unauthorized AI tools that fall outside of an organization’s governance framework. Enterprises need to be aware of this phenomenon in order to protect data because feeding internal data into an unauthorized application like an AI tool can present enormous risk. Shadow IT is generally well-known and relatively easy to manage once spotted. Just decommission the application and move on. With shadow AI, you don’t have a clear end-user agreement on how data is used to train an AI model or where the model is ultimately sharing its responses once generated. Essentially, once that data is in the model, you lose control over it. In order to mitigate the potential risk of shadow AI, organizations must establish clear agreements and formalized processes for using these tools if data will be leaving the environment whatsoever.

Could you explain the advantages of using attribute-based access control (ABAC) over traditional role-based access control (RBAC) in data security?”

Role-based access control (RBAC) functions by restricting permits or system access based on an individual’s role within the organization. The benefit of this is that it makes access control static and linear because users can only get to data if they are assigned to certain predetermined roles. While an RBAC model has traditionally served as a hands-off way to control internal data usage, it is by no means indestructible, and today we can see that its simplicity is also its main drawback.

RBAC was practical for a smaller organization with limited roles and few data initiatives. Contemporary organizations are data-driven with data needs that grow over time. In this increasingly common scenario, RBAC’s efficiency falls apart. Thankfully, we have a more modern and flexible option for option control: attribute-based access control (ABAC). The ABAC model takes a more dynamic approach to data access and security than RBAC. It defines logical roles by combining the observable attributes of users and data, and determining access decisions based on those attributes. One of ABAC’s greatest strengths is its dynamic and scalable nature. As data use cases grow and data democratization enables more users within organizations, access controls must be able to expand with their environments to maintain consistent data security. An ABAC system also tends to be inherently more secure than prior access control models. What’s more, this high level of data security does not come at the expense of scalability. Unlike previous access control and governance standards, ABAC’s dynamic character creates a future-proof model.”

What are the key steps in expanding data access while maintaining robust data governance and security?

Controlling data access is used to restrict the access, permissions, and privileges granted to certain users and systems that help to ensure only authorized individuals can see and use specific data sets. That said, data teams need access to as much data as possible to drive the most accurate business insights. This presents an issue for data security and governance teams who are responsible for ensuring data is adequately protected against unauthorized access and other risks. In an increasingly data-driven business environment, a balance must be struck between these competing interests. In the past, organizations tried to strike this balance using a passive approach to data access control, which presented data bottlenecks and held organizations back when it came to speed. To expand data access while maintaining robust data governance and security, organizations must adopt automated data access control, which introduces speed, agility, and precision into the process of applying rules to data. There are five steps to master to automate your data access control:

Must be able to support any tool a data team uses.

Needs to support all data, regardless of where it’s stored or the underlying storage technology.

Requires direct access to the same live data across the organization.

Anyone, with any level of expertise, can understand what rules and policies are being applied to enterprise data.

Data privacy policies must live in one central location.

Once these pillars are mastered, organizations can break free from the passive approach to data access control and enable secure, efficient, and scalable data access control.

In terms of real-time data monitoring, how does Immuta empower organizations to proactively manage their data usage and security risks?

Immuta’s Detect product offering enables organizations to proactively manage their data usage by automatically scoring data based on how sensitive it is and how it is protected (such as data masking or a stated purpose for accessing it) so that data and security teams can prioritize risks and get alerts in real-time about potential security incidents. By quickly surfacing and prioritizing data usage risks with Immuta Detect, customers can reduce time to risk mitigation and overall maintain robust data security for their data.

Thank you for the great interview, readers who wish to learn more should visit Immuta.

[idmtechnologies]

Elevating Security: Exploring the Comprehensive Services Provided by IDM Technologies, Your Premier Identity and Access Management Service Provider in India

In the rapidly evolving digital landscape, safeguarding sensitive data and ensuring secure access to organizational resources have become paramount. Identity and Access Management (IAM) serves as the linchpin in achieving these objectives, offering a comprehensive suite of services to fortify the cybersecurity posture of businesses. As your trusted Identity and Access Management Service Provider in India, IDM Technologies takes the lead in unraveling the array of services that contribute to a robust IAM framework.

Understanding the Core Services Provided by IDM Technologies:

1. Authentication Services:

At the heart of IAM lies authentication, the process of verifying the identity of users. IDM Technologies specializes in implementing cutting-edge authentication services, including multi-factor authentication, biometrics, and adaptive authentication. This ensures a secure and seamless user verification process.

2. Authorization Services:

Once users are authenticated, IDM Technologies provides robust authorization services. This involves defining access control policies and assigning permissions based on roles and responsibilities within the organization. The goal is to ensure that individuals have the appropriate level of access to resources.

3. Single Sign-On (SSO) Solutions:

SSO is a cornerstone of IAM, allowing users to log in once and access multiple systems seamlessly. IDM Technologies implements SSO solutions, reducing the need for users to remember multiple credentials, enhancing user experience, and minimizing the risk of password-related security issues.

4. User Lifecycle Management:

IDM Technologies facilitates efficient user lifecycle management, covering the entire span from onboarding to offboarding. This includes user provisioning to grant access upon joining the organization and deprovisioning to promptly revoke access when individuals leave.

5. Role-Based Access Control (RBAC):

RBAC is a fundamental principle in IAM, and IDM Technologies tailors RBAC frameworks to align with the organizational structure and hierarchy. This ensures that access permissions are assigned based on predefined roles, streamlining access control.

6. Identity Governance Services:

Identity governance involves establishing policies and processes to manage identities effectively. IDM Technologies assists organizations in implementing robust identity governance strategies, ensuring compliance with industry regulations and standards.

7. Access Management Services:

IAM includes access management, a pivotal service in controlling access to data, applications, and systems. IDM Technologies provides businesses with robust access management solutions, ensuring that only authorized individuals can access sensitive information.

8. Federated Identity Services:

Federation enables secure communication and authentication between different systems. IDM Technologies, as a leading Identity and Access Management Service Provider in India, implements federated identity services to facilitate seamless and secure interactions across diverse platforms.

9. Password Management Services:

IDM Technologies addresses the critical aspect of password management, implementing services that enhance password security, enforce password policies, and mitigate the risk of unauthorized access through compromised credentials.

Why Choose IDM Technologies as Your Identity and Access Management Service Provider in India:

1. Expertise in IAM Solutions:

IDM Technologies brings a wealth of expertise in IAM, understanding the intricacies of managing digital identities and access control in diverse organizational environments.

2. Customized Solutions for Indian Businesses:

Recognizing the unique challenges and regulatory considerations in India, IDM Technologies offers IAM solutions specifically tailored to the needs of businesses in the region.

3. Robust Security Measures:

Security is a top priority, and IDM Technologies prioritizes the implementation of robust security measures, encryption protocols, and compliance checks to safeguard sensitive data.

4. Seamless Integration:

IDM Technologies ensures seamless integration of IAM solutions with existing IT infrastructure, minimizing disruptions and optimizing the overall user experience.

Conclusion: Empowering Digital Security with IDM Technologies

In conclusion, IAM is not just a singular service but a comprehensive suite of solutions provided by IDM Technologies, your premier Identity and Access Management Service Provider in India. By choosing IDM Technologies, businesses unlock the potential for a seamless, secure, and customized IAM framework. Trust IDM Technologies to be your partner in navigating the complexities of identity and access management, fortifying your organization’s cybersecurity defenses in the dynamic digital landscape.

[techgeeg]

Cybersecurity Risk Assessment Framework

Cybersecurity Risk Assessment Framework Introduction: Cybersecurity risk assessment is a critical part of any organization’s risk management strategy. It involves identifying, assessing, and mitigating risks associated with an organization’s information systems to protect against cyber threats. What is a Cyber Risk Assessment? A Cyber Risk Assessment is a process that identifies, assesses, and…

[leonbasinwriter]

AI-Enhanced Zero Trust for Third-Party Risk Management: Strategic Insights for 2025

Research projects that by 2025, 45% of organizations worldwide will experience attacks on their software supply chains, marking a significant rise from recent years (Cybersecurity Magazine, 2023).

Leon Basin | Strategic Business Development & Account Management | B2B Cybersecurity | AI-Privileged Access Management | Driving revenue growth and building strong customer relationships. Connect with me to discuss how we can enhance your organization’s PAM strategy. The Evolving Threat Landscape in Third-Party Security Research projects that by 2025, 45% of organizations worldwide will…

[varamacreations]

How to use OWASP Security Knowledge Framework | CyberSecurityTV

🌟Security Knowledge Framework is a tool provided by OWASP. The tool uses the ASVS framework to provide a security checklist to the developers. This tool should also be used and governed by the security professional to train and help developers build secure software by design

[torillatavataan]

In collaboration with the Dnistrianskyi Center, Euromaidan Press presents this English-language adaptation of Dariia Cherniavska’s analysis on Finland’s role in Ukraine’s defense, recovery, and pursuit of justice.

Read the full article by Euromaidan Press here! The following is abridged.

Finland’s military assistance to Ukraine has grown significantly in both scale and purpose. Notably, Finland is one of the few countries that allows Ukraine to use its supplied weapons on Russian territory, reinforcing its firm stance on Ukraine’s right to defend itself beyond its borders.

In 2025, Finland launched a procurement program to supply Ukraine with new weapons manufactured domestically. This dual-purpose approach supports Ukraine’s defense needs and bolsters Finland’s own arms sector. These joint projects signal a shift from reactive aid to strategic co-production, building capacity for long-term defense.

Finland is a core participant in EU and UK-led training missions providing over 200 instructors to train Ukrainian troops in combat tactics and command skills.

Finland has been active in enforcing EU sanctions against Russia and finding ways to redirect frozen Russian assets. With European partners, it supported new frameworks to use the interest generated from frozen central bank assets for Ukrainian military and humanitarian purposes.

Modern warfare is digital, and Finland recognizes the threat. Through the IT Coalition, Finland has helped Ukraine reinforce its military communications and cybersecurity infrastructure.

In 2025, Finland also co-founded the Shelter Coalition to help Ukraine build modern bomb shelters, modeled after Finland’s own civil defense network. With 5,500 public shelters in Helsinki alone, Finland is sharing proven expertise in protecting civilians.

Ukraine is now one of the most mined countries on Earth. Finland has backed the Demining Coalition, supporting mine clearance through funding, equipment, and training.

Finland has also played a key role in helping stabilize Ukraine’s energy grid, particularly following Russian attacks on critical infrastructure.

Finland is also co-funding projects to upgrade Ukrainian infrastructure to EU standards, including investments in water safety, soil health, and energy efficiency.

Finland backs the creation of a special tribunal to prosecute the crime of aggression and actively supports the International Coalition for the Return of Ukrainian Children. Finland also contributes to broader international efforts to pursue legal redress for war crimes.

In April 2024, Finland signed a bilateral security agreement with Ukraine, locking in long-term commitments on defense cooperation, training, and industrial collaboration.

Finland’s support for Ukraine is strategic, sustained, and grounded in action. It reflects a clear understanding: Ukraine’s security is Europe’s security. From weapons deliveries and joint production, to civil protection, legal accountability, and postwar planning, Finland has become more than an ally—it’s a model for modern wartime partnership.

As other countries weigh how far to go in supporting Ukraine, Finland shows what full-spectrum commitment looks like—from battlefield to courtroom, and from frontline defense to long-term rebuilding.

[1americanconservative]

John Albillar

poSentsrdou106f2alblty98cchFmcf1094hu8 ai868hh318m6r21acrfe7  · 

A lawyer, Tom Renz, who actually read Trump's DOGE Executive Order and, expecting some illegal power grab, found it to be airtight. Turns out Trump and Musk didn't create anything. Obama did.

Obama created United States Digital Service (USDS) in 2014. It was meant as a bureaucratic patch job to fix the Obamacare website meltdown.

Fast forward to 2025. Trump rebrands it DOGE (United States DOGE Service). Keeps the acronym, keeps the funding, but gives it a whole new mission: Find the Receipts

Legally untouchable because it was already fully funded and operational. Trump invokes 5 USC 3161, which allows him to create temporary hiring authorities. DOGE teams get embedded inside every single federal agency. Each team consists of a lawyer, HR rep, a zoomer nerd, and an investigator. They report to DOGE, not the agency they're embedded in.

But wait, there's more! Trump invokes 44 USC Chapter 35, which governs federal IT and cybersecurity oversight. Since USDS was originally an IT oversight body, DOGE now has full access to all federal data systems. Yes, that’s right. All of them.

His executive order is written to block legal challenges. Includes language that overrides conflicting executive orders. Orders every agency to comply. Refusal means they violate presidential authority.

Congress can't defund it because it's not a new program, just a repurposed one. DOJ can't sue for overreach because Trump used existing laws exactly as written. Democrats trying to file legal challenges run into standing issues because DOGE operates within existing frameworks.

Obama literally built the perfect Administrative (read: Deep State) IT backdoor.

Trump and Musk just hacked the system and took the admin controls. Musk now has legal oversight of every major agency's internal systems. The Administrative State can't stop it without rewriting multiple federal laws.

They legally outplayed the system and there’s nothing anyone can do about it.

Obama created DOGE

[ayeforscotland]

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