#AI-driven incident response

[rmmhk]

The AI Revolution in Remote Monitoring and Management is Here!

The RMM Software Market is projected to grow at an astonishing 15.4% CAGR from 2023 to 2030. This rapid growth is driven by the integration of Artificial Intelligence (AI) into remote monitoring and management solutions.

Key benefits of AI-powered RMM:

Real-time monitoring and analysis

Predictive analytics for proactive maintenance

Automated incident response systems

Enhanced security measures

Improved IT efficiency and productivity

As a professional in the IT industry, it's crucial to understand how AI is transforming RMM. By embracing these technologies, organizations can: ✅ Reduce mean time to detect and respond to incidents ✅ Improve predictive analytics for equipment failures ✅ Optimize resource allocation and utilization ✅ Enhance threat detection and security capabilities

Are you ready to leverage AI in your RMM strategy? Share your thoughts and experiences in the comments below!

[mariacallous]

This week, the Kremlin sought to dominate public information spaces with narratives about Russia’s attack with a nuclear-capable ballistic missile on the Ukrainian city of Dnipro. The incident was splashed across the front pages of Russian news outlets and served as the centrepiece of state-controlled TV discussions. The objective is clear: domestically, to enforce a patriotic siege mentality; internationally, to stoke fears of nuclear war, to intimidate, and to weaken support for Ukraine.

Fraudsters fighting fakes

Instead of giving this fear-mongering more oxygen, we focus on something topical, though no less revealing. Enter the Kremlin-funded ‘Global Fact-Checking Network’, a supposedly international initiative to combat bias and disinformation. Under different circumstances, the irony of this endeavour might even be laughable. But it’s dead serious – another weaponised tool to enable and amplify international manipulation.

The network was unveiled at the Kremlin-organised ‘Dialogue on Fakes 2.0(opens in a new tab)’ forum in Moscow last week, hosted by the Russian government-funded NGO ANO Dialog. According to its director(opens in a new tab), Vladimir Tabak, the initiative aims to establish standards for fact-checking, inviting journalists and organisations to join after signing a so-called ‘Code of Responsible Fact-Checking(opens in a new tab)’. The network claims it will develop tools to identify fake news, train professionals, and compile a public database of ‘proven false data’, accessible globally.

Fact-checking as camouflage

Training experts, setting standards, and creating tools to combat disinformation are goals EUvsDisinfo fully supports. But there’s a catch: ANO Dialog(opens in a new tab) and its subsidiary Dialog Regions are Kremlin-funded entities designed to manipulate information domestically and globally to serve Kremlin interests. Its director, Vladimir Tabak(opens in a new tab), is under EU sanctions and in 2024, the US Treasury(opens in a new tab) linked the organisation to Russia’s foreign influence operations, including AI-driven election interference and the Doppelgänger disinformation campaign.

In other words, ANO Dialog and Vladimir Tabak are themselves producing and spreading disinformation and running information manipulation operations for the Kremlin. Announcing a ‘global fact-checking network’ is just the latest iteration of a years-long campaign to copy the verbal and visual vocabulary of actual fact-checking organisations to spread lies.

Lapsha Media and WarOnFakes

In 2021, ANO Dialog signed a ‘Memorandum on Countering Fakes(opens in a new tab)’, which had been set up by major Russian internet companies. It then started the ‘Lapsha Media project(opens in a new tab)’, a website and social media campaign with all the trappings of a fact-checking organisation: slick promotion videos telling users to not believe everything they see online, a weekly newsletter with ‘top fakes’ and information for readers to send in their own ‘fakes’ to be checked by ‘experts’.

Lapsha media is available in Russian and targets Russian-speaking audiences, but Timofej Vasiljev(opens in a new tab), who worked for ANO Dialog in the past, set up the WarOnFakes project, a propaganda project posing as a fact-checking organisation which was available in multiple language (although it failed to gain much following among European audiences).

Deception wrapped in data

ANO Dialog disguises itself as a modern, technologically advanced NGO, whose main goal is to offer advice on communications and digitalisation to Russian state institutions. Commenting on the dangers of online disinformation and fake news fits this role. Its director Tabak is regularly quoted and invited to panels(opens in a new tab) by Russian state media to talk about the dangers to society of ‘fake news’ and ‘deep fakes’ and how he and his organisation aim to fight it.

Some results of this fight were presented in a special ‘Fake News Dissemination Study(opens in a new tab)’ for the above-mentioned conference. What exposes this document as a manipulative fake is its ostensible exactness. The organisation claims to have ‘revealed’ 4,051 fakes in 2023, which were allegedly seen by 12 million persons. In 2024, they claim to have identified more than 4,000 fakes, but thanks to their ‘anti-fake system’ these were so far seen by only 8 million persons. The report even includes a chart which shows which months had the highest number of fakes in the last years and a heatmap to show the total number of identified fakes in each Russian region.

No math in disinformation

By providing these numbers, ANO Dialog tries to make it appear as if it had an understanding of the total amount of fake news or disinformation in Russia. Yet there is no method to reliably measure the amount of disinformation anywhere. Disinformation is not potatoes. It is an abstract concept enabled by manipulative behaviour which comes in many different forms and happens on many different mediums and channels.

The report implies that what it counted was ‘fake’ or inaccurate information. But disinformation doesn’t always work with lies; it often works with half-truths, or even completely accurate information that is taken out of context or presented in a manipulative way, exaggerated, coupled with non-related events, and so on. How would that be counted? As half a fake? As a third of a fake? And who decides how much of a fake that is?

We at EUvsDisinfo have worked professionally since 2015 in countering disinformation and manipulation following a comprehensive concept, which we described in April 2020 and elaborated in July 2023.

EUvsDisinfo also maintains a database, which last week reached the sad milestone of 18,000 examples of disinformation cases. These are merely an illustration of disinformation narratives directed at the EU and its neighbours. We do not claim to be able to quantify the vast amounts of manipulative content being produced every day.

Confusion is the main goal

ANO Dialog is of course not really concerned with these questions because it is itself a major producer of manipulative content. This report is just one more attempt to make it appear that there is a Russian alternative to fact-checking organisations. It works in much the same way that Russian officials often claim that there is no free-speech in Western countries. Their argument is pure whataboutism: ‘If you say we don’t have free speech, we say you don’t have free speech. And then you will not have less free speech and we will not have more free speech’. In reality, the people listening will be a little more confused about free speech and that’s the goal.

It is about taking up space in the information environment and drowning out other voices.

Don’t be deceived!

Other things the Kremlin called fake this week:

– The West did not organise the DHL cargo plane crash in Vilnius to blame Russia

The Kremlin’s disinformation machine churned out an absurd conspiracy theory this week, claiming that the West orchestrated the crash of a DHL cargo plane in Vilnius in order to frame Russia. The theory, promoted by a Russian State Duma member, hinges on a tenuous connection to a Times article that highlighted concerns about parcel bombs and their potential use by Russian intelligence. The crash, which occurred on 25 November, involved a Boeing 737. Lithuanian authorities and DHL are investigating the cause(opens in a new tab), with initial assessments pointing to either technical issues or human error.

The case is an illustrative example of information manipulation by pro-Kremlin media. They did not wait for the results of the investigation but put out their own version of an anti-Russian conspiracy by ‘Anglo-Saxons’ almost immediately. This story was spread by the main TV station Rossiya 1 and the main Russian newswire RIA. In this way, they attempt to dominate the information environment and have search engines pick up their version of events first. It is instructive that these main outlets spread this story so soon: this allows other outlets in the pro-Russian infosphere to republish and amplify it. We have written before about how members of the presidential administration control the main Russian information environment through the use of temnik guidelines.

– North Korean soldiers are fighting alongside Russia against Ukraine

Kremlin spokesperson Dmitry Peskov called news that North Korean soldiers are being deployed against Ukraine ‘another batch of fake news’. In fact, there is evidence from US, South Korean and Ukrainian sources that the North Korean regime has sent more than 10,000 troops to join the war against Ukraine. This has also been confirmed by HRVP Josep Borrell(opens in a new tab) and NATO Secretary General Mark Rutte(opens in a new tab). Peskov’s reasoning for why this could not be true was interesting: because it was not reported by Russian milbloggers. An official of the country that ranks 162 out of 180(opens in a new tab) in the press freedom ranking by Reporters Without Borders apparently still relies on the credibility of independent sources for validation – ironic, given the Kremlin’s routine suppression of free speech and independent media.

– Russia receives weapons from other countries

Another example of the Kremlin’s attempt to obscure uncomfortable truths came this week when Dmitry Medvedev, Vice Chairman of Russia’s Security Council, denied that Russia receives military equipment from other countries. Medvedev claimed that the ‘absolute majority’ of weapons, missiles, and ammunition used in the war against Ukraine is manufactured in Russia. However, substantial evidence contradicts this assertion. By November 2024, South Korean intelligence reported that North Korea had sent over 9 million artillery shells(opens in a new tab), missiles(opens in a new tab), and other weapons to Russia in more than 13,000 containers(opens in a new tab) since August 2023. Iran provides Russia with drones(opens in a new tab) and China is providing critical components(opens in a new tab) to sustain Russia’s military industry. This heavy reliance on external supplies exposes significant gaps in Russia’s own production capabilities. We said we would not mention the ballistic missiles in this review, but here we are after all.

[centizen]

Cloud Squatting: Understanding and Mitigating a Modern Cyber Threat

Cloud computing is central to both business and personal data storage. A critical and emerging threat is cloud squatting.This phenomenon, a digital variant of the notorious domain squatting, involves the unauthorized occupation of cloud resources. It poses significant risks, making it a crucial concern for everyone, from casual cloud users to IT professionals and business owners.

Understanding cloud squatting

Cloud squatting is the practice of occupying cloud resources, such as storage accounts, domain names, or service identifiers, often for exploitative purposes. This could range from reselling these resources for profit to hosting harmful content or phishing scams. Cloud squatting not only mirrors traditional domain squatting but also extends to trafficking cloud resources like cloud computing instances or web applications, typically for malicious intentions.

The risks involved

Cloud squatting presents various risks:

Data theft: Unauthorized instances can store or transmit stolen data.

Security breaches: They can act as platforms for attacks on other systems.

Reputation damage: Companies suffer if their services are impersonated.

Legal and financial repercussions: In cases of brand damage and loss of customer trust.

For example, an attacker might use a service resembling a legitimate one, deceiving users into sharing sensitive information, leading to data breaches and tarnished reputations.

Mitigation strategies

Effective mitigation of cloud squatting involves a multi-faceted approach:

Proactive registration: Secure variations of your business’s cloud resource names.

Regular audits: Ensure all cloud services are legitimate.

Monitoring and alert systems: Detect unauthorized or misleading registrations.

Employee training: Educate about risks and the identification of suspicious services.

Legal protections: Utilize trademarks and enforce anti-squatting policies.

Security tools and best practices: Use AI-driven solutions and update security measures regularly.

Stakeholder education: Inform teams and customers about these risks.

Rapid response plan: Have a plan to address incidents swiftly.

Collaboration with cloud providers: Utilize their anti-squatting policies.

Reserved IP addresses: Transfer owned IPs to the cloud and manage records.

Policy enforcement: Prevent hard coding of IP addresses and use reserved IPv6 addresses.

The future of cloud security

As cloud technologies evolve, so do the tactics of cybercriminals. This makes proactive security measures and constant vigilance essential. Emerging technologies, like AI-driven security solutions, will play a crucial role in combating these threats.

Cloud squatting is a modern cyber threat that demands awareness, understanding, and proactive action. Implementing robust security strategies and staying informed about the latest trends in cloud security can significantly protect valuable digital assets. By addressing the risks and employing comprehensive mitigation strategies, individuals and businesses can safeguard their presence and integrity in the cloud.

Centizen, your trusted partner in cloud consulting and staffing provides unparalleled expertise and solutions to guard against threats like cloud squatting, ensuring the security and efficiency of your digital infrastructure.

[dhanasrivista]

Generative AI’s Role in IT Service Management: A Game-Changer for Efficiency and Innovation

In the rapidly evolving landscape of IT Service Management (ITSM), emerging technologies continually reshape the way organizations deliver, manage, and optimize IT services. One of the most disruptive innovations today is Generative AI, which is transforming how IT professionals approach their tasks. By harnessing the capabilities of machine learning and artificial intelligence, Generative AI is enhancing service efficiency, improving user experience, and paving the way for more predictive and proactive IT operations.

Generative AI, which refers to AI models capable of producing new content, data, or solutions based on learned patterns from vast datasets, has significant implications for IT Service Management. With the rise of Generative AI certification, professionals can gain the skills needed to harness this transformative technology. It goes beyond traditional automation, enabling ITSM teams to move from reactive problem-solving to proactive service enhancement. This technology offers more than just automated responses; it introduces intelligent, data-driven insights that can optimize IT service delivery and innovation.

1. Enhancing Service Desk Operations

One of the most prominent roles of Generative AI in ITSM is its impact on service desk operations. The service desk is the frontline of IT support, managing a multitude of tickets, incidents, and requests daily. Traditionally, managing these operations required significant human effort, with support teams spending time on repetitive, low-value tasks such as ticket classification, incident management, and basic troubleshooting.

Generative AI, particularly through AI-powered chatbots and virtual agents, is revolutionizing these operations. These intelligent tools can process vast amounts of data from historical tickets and documentation, enabling them to resolve common issues, provide step-by-step guidance, and offer tailored responses to users. For example, instead of waiting for human intervention, a virtual agent can quickly resolve a password reset request or troubleshoot a network connectivity issue. By automating these tasks, IT service teams can focus on more complex issues, ultimately improving productivity and reducing response times. Enrolling in a Generative AI Course can provide deeper insights into how these technologies work and how to leverage them for improved IT service management.

Moreover, generative AI models can continuously learn from interactions, becoming more effective and accurate over time. As a result, the service desk can provide more consistent, 24/7 support to users, ensuring that even complex queries are addressed swiftly without the need for manual escalation.

2. Improving Incident Management and Resolution

Incident management is one of the core processes of ITSM, requiring prompt and efficient handling of issues to minimize downtime and service disruption. Generative AI is playing a crucial role in optimizing this process by providing predictive insights and automating parts of incident resolution.

AI models can analyze past incidents, detect patterns, and predict potential future issues before they escalate into major problems. This predictive capability allows IT teams to proactively address vulnerabilities and risks in the IT infrastructure, thus preventing costly downtime. Additionally, when incidents do occur, Generative AI can quickly suggest solutions or provide troubleshooting guides to service desk staff based on historical data and contextual analysis.

Generative AI also enhances collaboration by providing real-time insights and recommendations to various teams across the organization. For example, if an incident is reported, AI can instantly identify similar cases, suggest resolutions, or alert relevant teams about recurring patterns, significantly speeding up the resolution process.

3. Streamlining Change and Release Management

Change management in ITSM involves controlling and overseeing modifications to IT systems, services, or applications. It’s a delicate balance between innovation and maintaining system stability. Generative AI can assist by providing detailed risk assessments, forecasting potential impacts of proposed changes, and recommending the best timing or methods for implementation.

By analyzing past changes and their outcomes, AI models can identify the most effective strategies for rolling out new services or updates. This capability is particularly useful for release management, where AI can simulate the impact of changes across different environments before they are implemented in production. Generative AI models can also automate routine aspects of the release process, such as code testing or deployment verification, ensuring faster and more reliable updates.

4. Optimizing Knowledge Management

Effective knowledge management is vital for ITSM teams to resolve incidents swiftly and maintain high service levels. Generative AI plays a transformative role by not only indexing and searching knowledge repositories but also creating new knowledge artifacts based on the data it processes.

For instance, AI can analyze IT service logs, historical ticket data, and other internal documents to automatically generate new troubleshooting guides or best practices. This ensures that the knowledge base remains up to date, reducing the time IT professionals spend searching for solutions. Furthermore, AI-driven knowledge management can enhance training and onboarding by providing real-time, contextual learning experiences for new employees, helping them adapt to complex IT environments more quickly.

5. Facilitating IT Asset and Configuration Management

IT asset management and configuration management are critical for ensuring that IT services are delivered efficiently and securely. Generative AI can support these processes by automating the tracking and auditing of IT assets, enabling real-time updates to configuration management databases (CMDBs), and generating recommendations for optimizing resource utilization.

AI models can also provide insights into the lifecycle of IT assets, predicting when equipment or software may need maintenance or replacement. This proactive approach reduces the likelihood of service disruptions due to outdated or malfunctioning assets, ensuring smoother and more reliable service delivery.

6. Driving Continuous Service Improvement

Continuous service improvement (CSI) is a key principle in ITSM, focusing on the ongoing enhancement of IT services. Generative AI plays a vital role in this area by offering real-time analytics and insights that inform decision-making.

With access to vast amounts of data, Generative AI can identify trends, predict future service demands, and recommend ways to optimize performance. For example, it can analyze service response times, user feedback, and system performance metrics to highlight areas for improvement. This data-driven approach helps IT teams make informed decisions and implement strategies that align with business goals and user expectations.

Conclusion: The Future of IT Service Management with Generative AI

Generative AI is not just another tool in the ITSM toolkit; it represents a paradigm shift in how IT services are delivered and managed. By automating routine tasks, providing predictive insights, and enabling more proactive service management, Generative AI empowers IT teams to focus on innovation and continuous improvement. As AI technology continues to evolve, its role in ITSM will only grow, offering new opportunities for enhancing efficiency, reducing operational costs, and delivering superior user experiences.

Incorporating Generative AI into ITSM strategies is no longer optional but essential for organizations aiming to stay competitive in the digital age. As this technology becomes more integrated into IT operations, businesses will experience a new era of service management, characterized by increased automation, smarter decision-making, and a relentless focus on innovation.

[govindhtech]

How To Reduce 5G Cybersecurity Risks Surface Vulnerabilities

5G Cybersecurity Risks

There are new 5G Cybersecurity Risks technology. Because each 5G device has the potential to be a gateway for unauthorized access if it is not adequately protected, the vast network of connected devices provides additional entry points for hackers and increases the attack surface of an enterprise. Network slicing, which divides a single physical 5G network into many virtual networks, is also a security risk since security lapses in one slice might result in breaches in other slices.

Employing safe 5G Cybersecurity Risks enabled devices with robust security features like multi-factor authentication, end-to-end encryption, frequent security audits, firewall protection, and biometric access restrictions may help organizations reduce these threats. Regular security audits may also assist in spotting any network vulnerabilities and taking proactive measures to fix them.

Lastly, it’s preferable to deal with reputable 5G service providers that put security first.

Take On New Cybersecurity Threats

Cybercriminals often aim their biggest intrusions at PCs. Learn the characteristics of trustworthy devices and improve your cybersecurity plan. In the current digital environment, there is reason for worry over the growing complexity and frequency of cyber attacks. Cybercriminals are seriously harming businesses’ reputations and finances by breaking into security systems using sophisticated tools and tactics. Being able to recognize and address these new issues is critical for both users and businesses.

Threats Driven by GenAI

Malicious actors find it simpler to produce material that resembles other individuals or entities more authentically with generative AI. Because of this, it may be used to trick individuals or groups into doing harmful things like handing over login information or even sending money.

Here are two instances of these attacks:

Sophisticated phishing: Emails and other communications may sound much more human since GenAI can combine a large quantity of data, which increases their credibility.

Deepfake: With the use of online speech samples, GenAI is able to produce audio and maybe even video files that are flawless replicas of the original speaker. These kinds of files have been used, among other things, to coerce people into doing harmful things like sending money to online fraudsters.

The mitigation approach should concentrate on making sure that sound cybersecurity practices, such as minimizing the attack surface, detection and response methods, and recovery, are in place, along with thorough staff training and continual education, even if both threats are meant to be challenging to discover. Individuals must be the last line of defense as they are the targeted targets.

Apart from these two, new hazards that GenAI models themselves encounter include prompt injection, manipulation of results, and model theft. Although certain hazards are worth a separate discussion, the general approach is very much the same as safeguarding any other important task. Utilizing Zero Trust principles, lowering the attack surface, protecting data, and upholding an incident recovery strategy have to be the major priorities.Image Credit To Dell

Ransomware as a Service (RaaS)

Ransomware as a Service (RaaS) lets attackers rent ransomware tools and equipment or pay someone to attack via its subscription-based architecture. This marks a departure from typical ransomware assaults. Because of this professional approach, fraudsters now have a reduced entrance barrier and can carry out complex assaults even with less technical expertise. There has been a notable rise in the number and effect of RaaS events in recent times, as shown by many high-profile occurrences.

Businesses are encouraged to strengthen their ransomware attack defenses in order to counter this threat:

Hardware-assisted security and Zero Trust concepts, such as network segmentation and identity management, may help to reduce the attack surface.

Update and patch systems and software on a regular basis.

Continue to follow a thorough incident recovery strategy.

Put in place strong data protection measures

IoT vulnerabilities

Insufficient security makes IoT devices susceptible to data breaches and illicit access. The potential of distributed denial-of-service (DDoS) attacks is increased by the large number of networked devices, and poorly managed device identification and authentication may also result in unauthorized control. Renowned cybersecurity researcher Theresa Payton has even conjured up scenarios in which hackers may use Internet of Things (IoT) devices to target smart buildings, perhaps “creating hazmat scenarios, locking people in buildings and holding people for ransom.”

Frequent software upgrades are lacking in many IoT devices, which exposes them. Furthermore, the deployment of more comprehensive security measures may be hindered by their low computational capacity.

Several defensive measures, such assuring safe setup and frequent updates and implementing IoT-specific security protocols, may be put into place to mitigate these problems. These protocols include enforcing secure boot to guarantee that devices only run trusted software, utilizing network segmentation to separate IoT devices from other areas of the network, implementing end-to-end encryption to protect data transmission, and using device authentication to confirm the identity of connected devices.

Furthermore, Zero Trust principles are essential for Internet of Things devices since they will continuously authenticate each user and device, lowering the possibility of security breaches and unwanted access.

Overarching Techniques for Fighting Cybersecurity Risks

Regardless of the threat type, businesses may strengthen their security posture by taking proactive measures, even while there are unique tactics designed to counter certain threats.

Since they provide people the skills and information they need to tackle cybersecurity risks, training and education are essential. Frequent cybersecurity awareness training sessions are crucial for fostering these abilities. Different delivery modalities, such as interactive simulations, online courses, and workshops, each have their own advantages. It’s critical to maintain training sessions interesting and current while also customizing the material to fit the various positions within the company to guarantee its efficacy.

Read more on govindhtech.com

[techy-guy]

Sachin Dev Duggal | AI-Driven Debugging for Large-Scale Software Systems

AI-driven debugging is revolutionizing how software developers handle errors in large systems. Traditional debugging methods are becoming less effective as software grows more complex, leading to longer response times and potential project delays. AI technologies, particularly those developed by Builder.ai led by Sachin Dev Duggal and others, are proving to be invaluable in managing and preventing bugs, significantly improving the debugging process.

The Role of AI in Debugging

Artificial intelligence and machine learning aspects are increasingly being employed in newer debugging tools involving complex codes. There exist multiple functions that software can perform in such an investigation. It is also noteworthy that AI has helped detect and resolve bugs while the software is in use, thus preventing them from reaching the customer. Such a scenario is common, especially in large systems where a considerable amount of code is handled, such that manual debugging is very tedious and may often lead to errors.

Under the supervision of its Chief Wizard, Sachin Dev Duggal, Builder.ai exemplifies this trend by integrating AI into its software development platform. The platform uses AI to assemble applications quickly and efficiently, helping developers focus on creating custom features rather than getting strucked in debugging. By streamlining the development process, Builder.ai enhances the overall quality of the software produced, reducing the incidence of bugs from the outset.

[weepingvisitorrefuge]

Primary Peritoneal Cancer Therapeutics Market Size, Share, Industry, Forecast and outlook (2024-2031)

Market Overview and Forecast

The  primary peritoneal cancer therapeutics market outlook is poised for robust growth from 2024 through 2031. This expansion is fueled by a combination of factors including increasing disease incidence, better awareness, advances in targeted therapies, and growing demand for personalized oncology treatments. Historically, the market has evolved at a steady pace, but recent innovations and improved diagnosis have accelerated interest and investment. Forecasts suggest the market will continue on an upward trajectory with a strong compound annual growth rate (CAGR) during the forecast period.

Sample link of the report https://www.datamintelligence.com/download-sample/primary-peritoneal-cancer-therapeutics-market

 Latest Trends and Technological Advancements

Recent developments in cancer treatment have drastically reshaped the therapeutic landscape for primary peritoneal cancer. One of the most revolutionary approaches is Hyperthermic Intraperitoneal Chemotherapy (HIPEC), which combines surgical tumor removal with the infusion of heated chemotherapy directly into the abdominal cavity. Studies indicate HIPEC enhances drug absorption, minimizes systemic toxicity, and improves survival rates for certain patients.

Another significant trend is the incorporation of immunotherapy into treatment regimens. Immune checkpoint inhibitors such as pembrolizumab (Keytruda) have shown efficacy in cases where tumors exhibit microsatellite instability-high (MSI-H) or mismatch repair deficiency (dMMR). These therapies empower the immune system to recognize and destroy cancer cells, offering long-term remission in some patients.

The adoption of next-generation sequencing and artificial intelligence (AI)-driven diagnostics has enabled clinicians to personalize treatment plans with greater precision. AI algorithms enhance radiological interpretation, identify early-stage tumors, and predict treatment responses, all of which contribute to more effective and individualized care.

Market Segmentation

The primary peritoneal cancer therapeutics market is segmented by treatment type and end-user application. Each segment plays a critical role in shaping the market dynamics.

By Treatment Type The most common treatments include chemotherapy, targeted therapy, immunotherapy, surgical procedures, radiation therapy, and hormone therapy. Chemotherapy remains the foundation of most treatment protocols; however, the rise of targeted therapies such as bevacizumab (an anti-angiogenic agent) and PARP inhibitors is reshaping the therapeutic approach. These targeted therapies work by interfering with cancer cell-specific processes, which leads to better efficacy and fewer side effects compared to traditional cytotoxic agents.

Immunotherapy is increasingly being integrated into treatment regimens, particularly for patients with specific genetic profiles. This trend is expected to grow further as biomarker testing becomes more widespread.

By End-User Key end-users of these therapies include hospitals, specialized cancer centers, and academic research institutions. Hospitals lead the market, largely due to their access to multidisciplinary teams and advanced infrastructure for administering combination treatments such as surgery and HIPEC. Cancer centers are increasingly adopting personalized medicine techniques, while academic institutes contribute significantly through ongoing clinical trials and drug development programs.

Regional Analysis: Focus on the USA and Japan

United States The United States holds the largest share of the global primary peritoneal cancer therapeutics market. Several factors contribute to this dominance, including a high rate of diagnosis, advanced healthcare infrastructure, and continuous research funding. As of recent analysis, the U.S. market is expected to grow steadily with increasing adoption of precision medicine and FDA approvals for new immunotherapeutic drugs.

Notably, the U.S. government has prioritized cancer care under initiatives like the Cancer Moonshot, which promotes early detection, equitable access, and innovative treatment modalities. This supportive regulatory environment continues to attract pharmaceutical investment and expand patient access to new treatments.

Japan Japan is one of the fastest-growing markets in the Asia-Pacific region, with an estimated CAGR of 8.7% between FY2024 and FY2031. Factors such as an aging population, growing awareness, and a strong emphasis on early diagnosis contribute to market expansion. Japan's healthcare system supports access to novel therapies through reimbursement reforms and integration of digital health solutions such as tele-oncology, which is vital for rural and aging communities.

Additionally, Japan has invested in translational medicine and biopharmaceutical research, making it a hub for clinical trials and precision medicine. Government initiatives encouraging biotechnology innovation further support the market's growth.

Key Market Highlights

Technological Evolution: HIPEC and immunotherapy have significantly enhanced treatment efficacy and survival outcomes for primary peritoneal cancer patients.

Diagnostic Improvements: Liquid biopsies and AI-driven imaging tools are facilitating earlier and more accurate detection.

Government Policies: Health authorities in major markets like the USA and Japan are providing regulatory and financial support to encourage innovation and expedite approvals.

Patient-Centric Care: There's a visible shift toward personalized medicine, using genetic and molecular profiling to tailor treatments.

Competitive Landscape and Key Players

The market is moderately concentrated, with several leading pharmaceutical companies pioneering innovation and expanding their global reach. These companies are active in clinical trials, acquisitions, and strategic alliances to strengthen their oncology pipelines.

Top five key players include:

Roche Holding AG Known for its strong oncology portfolio and development of companion diagnostics, Roche is a leader in targeted therapies.

Merck & Co., Inc. Merck’s flagship immunotherapy drug, Keytruda, has transformed cancer care, including peritoneal cancer, especially in patients with biomarker-positive tumors.

Novartis AG Novartis’s acquisition of Mariana Oncology has positioned it well in the radioligand therapy market, adding advanced tools to its oncology arsenal.

Bristol-Myers Squibb (BMS) BMS continues to advance immuno-oncology research with drugs like Opdivo and Yervoy, focusing on combination strategies to treat peritoneal cancers more effectively.

Pfizer Inc. Pfizer’s commitment to innovation in cancer therapeutics is evident in its expanding portfolio and pipeline, with multiple drugs under investigation for solid tumors including peritoneal cancer.

In addition to product innovation, these companies are engaging in mergers, partnerships with biotech firms, and licensing agreements to expand their global footprint and address unmet medical needs.

Conclusion

The primary peritoneal cancer therapeutics market is entering a transformative era marked by technological innovation, strategic collaboration, and policy support. Advancements in immunotherapy, targeted therapy, and diagnostic tools are driving personalized treatment approaches that promise better patient outcomes. While challenges such as high treatment costs and limited early diagnosis remain, the overall outlook is optimistic.

With continued investment in R&D and growing emphasis on individualized care, the global market especially in the USA and Japan is expected to flourish. As healthcare systems evolve and more targeted therapies receive regulatory approval, the hope for improved survival and quality of life for patients battling this rare but aggressive cancer grows stronger.

[manticai09]

Hydrogen Leak Detection: Sensors, Systems, and Prevention

Hydrogen, as a clean energy carrier, is gaining momentum across industries ranging from fuel cell technology to chemical processing and aerospace. However, its unique properties, low ignition energy, high diffusivity, and wide flammability range also make it a challenging substance to manage safely. A hydrogen leak, if undetected, can pose significant risks, including fire, explosion, and environmental impact. This article explores modern hydrogen leak detection technologies, integrated systems, and proactive prevention strategies. It also outlines how safety methodologies like HAZOP (Hazard and Operability Study), HAZID (Hazard Identification), and principles of Process Safety Management (PSM) and risk management are vital to minimizing the likelihood and impact of hydrogen leaks.

Hydrogen Leak Detection Technologies

Sensor-Based Detection

The cornerstone of hydrogen leak detection lies in sensors. These devices come in various types, including:

Catalytic bead sensors: These detect hydrogen through oxidation, offering fast response times but are less suitable in oxygen-deficient environments.

Electrochemical sensors: Functional for low concentration detection, these provide high sensitivity and are ideal for confined spaces.

Thermal conductivity sensors: To measure changes in thermal conductivity caused by hydrogen's presence, offering long service life and low maintenance.

Optical sensors: Utilizing laser or infrared spectroscopy, these provide highly accurate and fast remote detection, making them ideal for large facilities.

MEMS-based sensors: Miniaturized sensors using micro-electromechanical systems provide low-cost, low-power solutions for distributed sensing networks.

Proper sensor placement, calibration, and integration into automated systems are crucial for reliable leak detection and immediate response.

Leak Detection Systems and Integration

Beyond individual sensors, integrated hydrogen leak detection systems form the backbone of modern safety architecture. These systems often include:

Distributed control systems (DCS) and SCADA systems to collect, monitor, and analyze sensor data in real time.

Alarm systems to alert operators or trigger automatic shutdowns.

Ventilation and purging mechanisms to disperse hydrogen accumulations.

Fire suppression systems are tailored for hydrogen flames, nearly invisible to the naked eye.

Advanced analytics and AI-driven pattern recognition are also being deployed to predict potential failure points, improving early intervention capabilities.

Prevention and Risk Management Strategies

Detecting a leak is only part of the safety equation—preventing one is equally important. This is where systematic safety methodologies like HAZOP and HAZID come into play.

HAZOP involves a structured review of process designs to identify deviations that could lead to hazardous situations.

HAZID is often used during the early stages of a project to identify potential hazards, including leak-prone areas or material compatibility issues.

This includes quantitative and qualitative evaluations of leak probabilities, consequence modeling, and risk scoring to prioritize mitigation efforts.

Process Safety Management (PSM) ensures that safety is embedded throughout the hydrogen system lifecycle—from design and installation to operation and decommissioning. Key PSM elements include:

Mechanical integrity programs to ensure components can withstand hydrogen’s unique properties.

Employee training on hydrogen-specific hazards and emergency procedures.

Management of change (MOC) protocols to assess risks from modifications.

Incident investigation to learn from past leaks and improve future systems.

All these elements contribute to a cohesive risk management approach, where detection, response, and prevention work together seamlessly.

Conclusion

Hydrogen's promise as a sustainable energy solution must be balanced by an equally strong commitment to safety. Structured methodologies like HAZOP and HAZID, underpinned by rigorous risk assessment and Process Safety Management, provide a comprehensive framework for prevention and control.

By leveraging technology and proactive planning, industries can mitigate the risks associated with hydrogen leaks, ensuring operational continuity and the safety of workers and communities. As hydrogen becomes more central to the global energy mix, these measures are not optional they are imperative.

[generativeinai]

Top 10 Reasons AIOps Platform Development Is Critical for Modernizing Legacy IT Systems in 2025

In 2025, digital transformation is no longer optional—it’s mission-critical. Enterprises that still rely on aging, monolithic legacy IT systems face mounting pressure to become agile, scalable, and resilient. AIOps (Artificial Intelligence for IT Operations) platforms have emerged as a transformative solution, offering the intelligence and automation needed to bridge the gap between legacy inefficiencies and modern IT agility.

Here are the top 10 reasons why AIOps platform development is vital for modernizing legacy IT systems in 2025:

1. Proactive Incident Detection and Resolution

Legacy systems often rely on reactive monitoring, leading to delayed responses and extended downtimes. AIOps uses machine learning and predictive analytics to proactively detect anomalies, predict incidents, and trigger automated responses—minimizing downtime and preserving service continuity.

2. Automated Root Cause Analysis (RCA)

In traditional IT environments, root cause identification can take hours—or even days. AIOps platforms reduce mean time to resolution (MTTR) by automating RCA. By correlating vast amounts of log data, alerts, and metrics, AIOps pinpoints the origin of issues with precision, allowing IT teams to resolve them faster.

3. Elimination of Alert Fatigue

Legacy monitoring systems bombard IT teams with thousands of alerts, many of which are false positives or irrelevant. AIOps filters noise, groups related alerts, and delivers context-rich insights. This intelligent alerting helps IT teams focus on what truly matters, improving operational efficiency and staff morale.

4. Enhanced Visibility Across Hybrid Environments

Most legacy systems were built for on-prem operations and struggle to adapt to hybrid or multi-cloud environments. AIOps platforms offer end-to-end visibility by ingesting data from diverse environments—including legacy infrastructure, cloud platforms, containers, and edge systems—into a unified observability layer.

5. Intelligent Automation and Self-Healing

One of the most transformative aspects of AIOps is its ability to automate tasks and even trigger self-healing mechanisms. Whether it's restarting a crashed service, adjusting server capacity, or rerouting traffic—AIOps can take action in real time, drastically reducing human intervention.

6. Data-Driven Decision Making

Legacy systems operate in silos and lack actionable insights. AIOps breaks down these silos by consolidating telemetry data (logs, metrics, events) and applying AI to uncover patterns, trends, and recommendations. This enables IT leaders to make faster, smarter, and more informed decisions.

7. Scalability for Modern Workloads

As enterprises modernize with IoT, edge computing, and cloud-native applications, IT workloads are growing exponentially. AIOps platforms are built to scale automatically with these demands, unlike rigid legacy monitoring tools. They adapt to high-volume environments while maintaining performance insights.

8. Security and Compliance Enhancement

AIOps aids in identifying unusual behavior patterns that may indicate cyber threats or compliance violations. By integrating with security information and event management (SIEM) tools, AIOps provides real-time risk alerts and ensures adherence to evolving regulatory standards—something legacy tools can’t keep up with.

9. Reduced Operational Costs

Maintaining outdated systems often leads to spiraling IT costs. AIOps streamlines operations through automation, reduces downtime penalties, minimizes manual tasks, and optimizes resource utilization. The result: leaner operations, fewer support tickets, and more efficient staffing.

10. Accelerated Digital Transformation

Ultimately, AIOps empowers enterprises to fully embrace digital transformation. By modernizing legacy IT systems through intelligent automation and real-time analytics, organizations can unlock agility, speed up innovation cycles, and stay competitive in a fast-evolving digital world.

Conclusion

The modernization of legacy IT infrastructure isn’t just about replacing old tools—it’s about reimagining IT operations for agility, intelligence, and automation. AIOps platform development is the linchpin that enables this transformation, offering enterprises the power to future-proof their operations, enhance resilience, and deliver exceptional user experiences in 2025 and beyond.

[appitsoftware]

APPIT Software | ServiceNow AI Solutions for Intelligent Business Operations 2025

Empowering the Future of Business with AI-Driven ServiceNow Solutions

As organizations step into the hyper-automated world of 2025, APPIT Software is leading the charge by leveraging the full potential of ServiceNow AI to power intelligent business operations. In partnership with ServiceNow’s powerful cloud platform, APPIT is transforming how enterprises manage IT, HR, customer service, and operations with real-time intelligence, predictive automation, and workflow optimization.

By combining ServiceNow’s generative AI capabilities with APPIT’s deep domain knowledge, businesses can now unlock operational excellence and scale their digital transformation with speed and confidence.

What Makes APPIT + ServiceNow AI a Game Changer in 2025?

APPIT Software enhances ServiceNow’s Now Platform® by embedding next-gen AI features that improve business efficiency, user experience, and decision-making. This includes:

Generative AI for Workflows: Instantly generate knowledge articles, automated responses, or solutions to incidents using natural language prompts.

Predictive Intelligence: Use machine learning to classify, assign, and resolve tasks faster than ever.

Virtual Agents & Conversational AI: Automate Tier 1 support and routine requests through intelligent virtual agents that learn and evolve.

Intelligent Routing: Direct tickets, service requests, and approvals to the right people—automatically and accurately.

APPIT makes ServiceNow smarter, faster, and more aligned with your unique business needs.

Transforming Key Business Functions Through ServiceNow AI

1. Intelligent IT Operations Management (ITOM)

APPIT uses ServiceNow AI to enable autonomous IT operations by:

Detecting outages or anomalies in real-time

Automating incident resolution

Predicting capacity needs

Generating self-healing scripts with AI

The result? Proactive IT management that improves uptime, reduces costs, and enhances user satisfaction.

2. Next-Gen IT Service Management (ITSM)

APPIT elevates ITSM by integrating ServiceNow AI with:

Smart categorization and ticket prioritization

Conversational incident reporting and resolution

Knowledge management with AI-generated articles

Continuous improvement with analytics-based recommendations

Organizations benefit from faster resolution times, improved SLAs, and happier end users.

3. AI-Powered Customer Service Management (CSM)

Customer expectations in 2025 demand personalization and speed. APPIT delivers with:

AI chatbots that solve complex queries instantly

Predictive support escalation

Automated case resolution paths

Sentiment analysis across channels

With APPIT and ServiceNow AI, your support center becomes a self-optimizing engine of customer delight.

4. Smart HR Service Delivery

APPIT modernizes HR processes by helping HR teams:

Deploy AI assistants for onboarding, FAQs, and benefits queries

Automatically route employee cases to the right HR agent

Provide self-service portals enhanced with natural language understanding

Analyze employee service trends to improve internal processes

In 2025, employee experience is digital-first and AI-smart.

Industry-Specific AI Use Cases with APPIT & ServiceNow

APPIT brings tailored ServiceNow AI implementations to:

Healthcare: Automate patient support, clinical workflows, and compliance tracking

Banking & Finance: Streamline loan servicing, IT compliance, and fraud detection

Retail: Optimize store operations, customer support, and inventory requests

Manufacturing: Manage service requests across distributed plants and supply chains

Government & Public Sector: Enhance citizen service delivery and automate document workflows

APPIT ensures ServiceNow isn’t just deployed—it’s strategically embedded in the fabric of each industry.

Why Leading Enterprises Choose APPIT for ServiceNow AI

✅ Certified ServiceNow Experts

APPIT employs certified ServiceNow developers and architects who specialize in AI-enabled modules, including:

Now Assist for ITSM and HR

Predictive Intelligence

Virtual Agent Designer

Flow Designer & Integration Hub

✅ Fast, Scalable Implementations

With a proven agile methodology, APPIT delivers faster go-lives and future-proof configurations that grow with your business.

✅ Governance and Responsible AI

APPIT integrates ServiceNow AI with strict governance controls to ensure:

Transparent AI logic

Audit-ready automation

Data security and privacy compliance

Human-in-the-loop processes

✅ Continuous Innovation & Support

Our long-term partnerships provide:

Ongoing platform optimization

New AI use case development

ROI analysis and reporting

24/7 managed support

The Road Ahead: Autonomous Workflows and Business Agility

As AI becomes deeply embedded in enterprise operations, APPIT helps you transition from reactive to predictive and autonomous workflows. In 2025, business agility means automating more, resolving faster, and making smarter decisions—without adding complexity.

[globosetechnology]

AI for Real-Time Traffic Prediction

As urban populations surge, traffic congestion has become a pressing challenge, leading to wasted time, increased fuel consumption, and heightened pollution levels. Artificial Intelligence (AI) offers a transformative solution through real-time traffic prediction, enabling cities to manage traffic flow more effectively and create sustainable urban environments. This blog delves into how AI is revolutionizing traffic management, with a focus on a compelling case study from Global Techno Solutions on AI for real-time traffic prediction, while exploring its broader implications for intelligent transportation systems.

The Growing Need for Real-Time Traffic Prediction

Traffic congestion in cities is a multifaceted problem, often exacerbated by rapid urbanization and the increasing number of vehicles on the road. According to studies, non-recurrent congestion—caused by accidents, roadworks, or events—accounts for about 50% of traffic delays, making accurate prediction a critical need. Traditional traffic management systems, reliant on static schedules or manual interventions, often fall short in addressing the dynamic nature of urban traffic. AI-driven real-time traffic prediction uses live data to forecast congestion, optimize traffic flow, and enhance safety, paving the way for smarter cities.

How AI Enables Real-Time Traffic Prediction

AI-powered traffic prediction systems integrate data from various sources—cameras, GPS, IoT sensors, and even weather reports—to deliver accurate forecasts. Here’s how they work:

Data Collection: Real-time data is gathered from traffic cameras, vehicle GPS, and sensors embedded in road infrastructure, capturing variables like vehicle speed, density, and incident reports.

Data Processing and Analysis: Machine learning models, such as deep learning or graph neural networks, analyze this data to identify patterns and correlations, accounting for spatial and temporal dynamics.

Prediction and Optimization: AI algorithms predict traffic conditions minutes to hours ahead, enabling dynamic adjustments like optimizing traffic signal timings or suggesting alternate routes to drivers.

Proactive Issue Resolution: AI systems can detect anomalies (e.g., accidents) and trigger immediate responses, such as alerting authorities or rerouting traffic to minimize disruptions.

This approach ensures smoother traffic flow, reduces delays, and enhances overall urban mobility.

Case Study: AI for Real-Time Traffic Prediction

Global Techno Solutions provides a remarkable example of AI’s potential in traffic management through their case study, "AI for Real-Time Traffic Prediction". The project focused on a bustling metropolitan area where traffic congestion was a daily challenge. By deploying an AI-driven system, they achieved significant improvements:

95% Prediction Accuracy: Using deep learning models, the system accurately forecasted traffic conditions up to 30 minutes in advance, leveraging data from cameras, sensors, and GPS.

20% Reduction in Congestion: Real-time adjustments to traffic signals and dynamic rerouting reduced bottlenecks, particularly during peak hours.

15% Decrease in Travel Times: Drivers benefited from optimized routes, saving time and fuel while lowering emissions.

This case study underscores AI’s ability to transform urban traffic management by providing actionable, data-driven insights. For a deeper look into their methodology and results, check out the full case study here.

Benefits of AI in Real-Time Traffic Prediction

AI-driven traffic prediction offers numerous advantages for cities and commuters alike:

Reduced Congestion: Predictive models identify potential bottlenecks before they escalate, allowing for proactive measures like signal adjustments or rerouting.

Improved Safety: Real-time detection of accidents or hazards enables faster responses, reducing the risk of secondary incidents.

Environmental Impact: Smoother traffic flow minimizes idling and stop-and-go driving, cutting down on fuel consumption and emissions. For instance, AI-powered routing in apps like Google Maps has reportedly reduced CO2 emissions by over 1.2 million metric tons globally.

Enhanced Commuter Experience: Drivers receive real-time updates and optimized routes, reducing stress and improving travel efficiency.

These benefits align with the broader goals of smart cities, where technology enhances quality of life and sustainability.

Real-World Applications and Future Potential

AI for real-time traffic prediction is already making a difference globally. Cities like Los Angeles and Singapore have implemented AI systems to optimize traffic light timings, achieving reductions in travel times by up to 12%. Beyond traffic signals, AI is enhancing public transit by predicting passenger demand and optimizing bus schedules, as seen in Transport for London’s initiatives, which improved on-time performance by 10%.

Looking ahead, the integration of AI with autonomous vehicles and smart infrastructure promises even greater advancements. Imagine a city where self-driving cars communicate with AI-managed traffic systems to avoid congestion entirely, or where digital twins—virtual models of road networks—simulate traffic scenarios to optimize urban planning. The future of traffic management lies in these interconnected, intelligent systems that prioritize efficiency, safety, and sustainability.

Challenges to Overcome

Despite its potential, AI-driven traffic prediction faces hurdles:

Data Quality and Availability: Inaccurate or incomplete data can undermine prediction accuracy. Cities need robust data collection infrastructure to ensure reliable inputs.

Privacy Concerns: Tracking vehicle movements via GPS or cameras raises ethical questions about data privacy, necessitating transparent policies.

Integration with Legacy Systems: Many cities rely on outdated infrastructure that may not support AI tools, requiring significant upgrades.

[gis2080]

🚑 Ambulance Services on the Rise — Racing Toward $54.3B by 2034 🏥 (6.2% CAGR)

Ambulance Services Market is undergoing a substantial transformation, expected to grow from $29.8 billion in 2024 to $54.3 billion by 2034, at a compound annual growth rate (CAGR) of 6.2%. This expansion is largely driven by the rising demand for emergency medical transportation, the increasing incidence of chronic diseases, and the growing aging population globally. From ground ambulances to air transport solutions, this industry is a critical component of the healthcare ecosystem, ensuring patients receive immediate and lifesaving care during emergencies. Technological innovations, such as telemedicine integration and real-time GPS navigation, are enhancing service responsiveness, making ambulance care more effective and accessible than ever.

Market Dynamics

The market is witnessing accelerated momentum due to various influential factors. Chief among them is the increase in chronic diseases such as cardiac disorders and respiratory conditions, which require urgent medical intervention. The growing geriatric population across developed and emerging economies alike is also fueling demand for both emergency and non-emergency medical transportation services. Ground ambulances dominate the sector, valued for their cost-efficiency and extensive availability, while air ambulances are rapidly rising due to their ability to reach remote areas swiftly.

Click to Request a Sample of this Report for Additional Market Insights: https://www.globalinsightservices.com/request-sample/?id=GIS21330

However, this expansion is not without challenges. High operational costs, regulatory compliance burdens, and a shortage of trained professionals are significant hurdles for service providers. Despite these, the integration of AI in dispatch systems, sustainability initiatives like electric ambulances, and public-private partnerships continue to open new growth avenues.

Key Players Analysis

The ambulance services market is competitive and fragmented, with both global giants and regional specialists vying for market share. Industry leaders such as American Medical Response, Air Methods Corporation, and Falck A/S are setting benchmarks through strategic acquisitions, partnerships, and advanced fleet upgrades. Emerging players like Life Link EMS, Guardian Med Transport, and Vita Rescue Transport are innovating with smart ambulance technology and AI-powered solutions. These companies are not only expanding geographical reach but are also reshaping service delivery models through integrated healthcare platforms and digital tools.

Regional Analysis

North America continues to dominate the global ambulance services market, supported by its robust healthcare infrastructure, high healthcare spending, and emphasis on emergency response efficiency. The United States stands out for its well-organized EMS systems and investment in telemedicine-equipped ambulances.

Europe follows closely, with strong market activity in Germany and the United Kingdom. Investments in digitizing emergency services and enhancing fleet standards are driving the regional growth.

Meanwhile, Asia-Pacific is emerging as a fast-growing market, thanks to urbanization, rising healthcare awareness, and expanding middle-class income. Countries like India and China are upgrading their EMS infrastructure to meet increasing demand.

Latin America, the Middle East, and Africa are also exhibiting promising growth potential, with countries like Brazil, Mexico, UAE, and South Africa improving emergency response systems through both governmental reforms and private sector participation.

Recent News & Developments

Several key developments are shaping the future of the ambulance services industry. The rise of electric ambulances, pioneered by firms like Tesla and Arrival, is addressing sustainability concerns. Meanwhile, the integration of AI for dispatch optimization and real-time data sharing through telemedicine is significantly improving patient outcomes.

Moreover, insurance dynamics and pricing structures — ranging from $300 to $2,000 per service — are undergoing reevaluation to increase accessibility and affordability. Compliance with international safety standards is also gaining emphasis, ensuring that service quality remains high as the market grows.

Browse Full Report : https://www.globalinsightservices.com/reports/ambulance-services-market/

Scope of the Report

This report offers a detailed assessment of the global ambulance services market, covering multiple segments such as service type (emergency, non-emergency, air, ground, water), product (basic and advanced life support ambulances), and end users (hospitals, emergency centers). It includes a comprehensive evaluation of market drivers, restraints, opportunities, and technological innovations. The forecast period from 2025 to 2034 provides deep insights into expected trends, competitive strategies, regional dynamics, and policy implications. Designed for stakeholders ranging from investors to healthcare providers, this report serves as a strategic guide to navigating the evolving EMS landscape.

Discover Additional Market Insights from Global Insight Services:

4D-Printed Medical Devices Market : https://www.globalinsightservices.com/reports/4d-printed-medical-devices-market/

Advanced Automated First Aid Market : https://www.globalinsightservices.com/reports/advanced-automated-first-aid-market/

Advanced Multi-Organ Chips Market : https://www.globalinsightservices.com/reports/advanced-multi-organ-chips-market/

AI for Adaptive Clinical Workflows Market : https://www.globalinsightservices.com/reports/ai-for-adaptive-clinical-workflows-market/

AI in Pharma Market : https://www.globalinsightservices.com/reports/ai-in-pharma-market/

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About Us:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

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Global Insight Services LLC 16192, Coastal Highway, Lewes DE 19958 E-mail: info@globalinsightservices.com Phone: +1–833–761–1700 Website: https://www.globalinsightservices.com/

[jcmarchi]

The State of Pentesting in 2025: Why AI-Driven Security Validation Is Now a Strategic Imperative

New Post has been published on https://thedigitalinsider.com/the-state-of-pentesting-in-2025-why-ai-driven-security-validation-is-now-a-strategic-imperative/

The State of Pentesting in 2025: Why AI-Driven Security Validation Is Now a Strategic Imperative

The 2025 State of Pentesting Survey Report by Pentera paints a striking picture of a cybersecurity landscape under siege—and evolving fast. This isn’t just a story about defending digital borders; it’s a blueprint of how enterprises are transforming their approach to security, driven by automation, AI-based tools, and the unrelenting pressure of real-world threats.

Breaches Persist Despite Bigger Security Stacks

Despite deploying increasingly complex security stacks, 67% of U.S. enterprises reported experiencing a breach in the past 24 months. These weren’t minor incidents either—76% reported a direct impact on confidentiality, integrity, or availability of data, and 36% experienced unplanned downtime, while 28% faced financial losses.

The correlation is clear: as stack complexity rises, so do the alerts—and the breaches. Enterprises using more than 100 security tools experienced an average of 3,074 weekly alerts, while those using between 76–100 tools faced 2,048 alerts per week

Yet this avalanche of data often overwhelms security teams, delaying response times and allowing real threats to slip through the cracks.

Cybersecurity Insurance Is Shaping Tech Adoption

Cyber insurers have become unexpected drivers of cybersecurity innovation. A striking 59% of U.S. enterprises implemented new security tools specifically at the request of their insurer, and 93% of CISOs reported that insurers influenced their security postures. In many cases, these recommendations went beyond compliance—they shaped tech strategy.

The Rise of Software-Based Pentesting

Manual pentesting is no longer the default. Over 55% of organizations now rely on software-based pentesting within their in-house programs, with another 49% using third-party providers. In contrast, just 17% still rely solely on in-house manual testing.

This transition to automated adversarial testing reflects a broader trend: the need for scalable, repeatable, and real-time validation in an era of ever-evolving threats. These automated platforms simulate attacks ranging from file-less malware to privilege escalation, enabling enterprises to assess their resilience continuously and without disruption.

Security Budgets Are Growing—Fast

Security isn’t getting cheaper, but organizations are prioritizing it anyway. The average annual pentesting budget is $187,000, accounting for 10.5% of total IT security spend. Larger enterprises (10,000+ employees) spend even more—an average of $216,000 annually.

In 2025, 50% of enterprises plan to increase their pentesting budgets, and 47.5% expect to grow their overall security spend. Only 10% anticipate a decrease in investment. These numbers highlight security’s rise from an operational necessity to a boardroom priority.

Security Testing Is Still Playing Catch-Up

Here’s a startling disconnect: 96% of enterprises report infrastructure changes at least quarterly, but only 30% conduct pentesting at that same frequency. The result? New vulnerabilities slip through untested changes, expanding the attack surface with each software push or config update.

Only 13% of large enterprises with over 10,000 employees conduct quarterly pentests. Meanwhile, nearly half still test only once per year—a dangerous lag in today’s dynamic threat environment.

Risk Alignment Is Sharper Than Ever

Encouragingly, security leaders are focusing testing where breaches actually happen. Nearly 57% prioritize web-facing assets, followed by internal servers, APIs, cloud infrastructure, and IoT devices. This alignment reflects a growing awareness that attackers don’t discriminate—they exploit any available vulnerability across the entire attack surface.

APIs, in particular, have emerged as a high-priority target, both for attackers and defenders. These interfaces are increasingly essential to business operations but often lack visibility and standard monitoring, making them ripe for exploitation.

Operationalizing Pentest Results

Pentest reports are no longer being shelved. Instead, 62% of enterprises immediately transfer findings to IT for remediation prioritization, while 47% share results with senior management and 21% report directly to their boards or regulators.

This shift toward action reflects a deeper integration of pentesting into strategic risk management—not just compliance checkboxing. Security validation is becoming part of the business conversation.

What’s Holding Back Even Faster Progress?

While the trendlines are positive, key inhibitors remain. The top two barriers to more frequent pentesting are budget constraints (44%) and a lack of available pentesters (48%)—the latter reflecting a global shortfall of 4 million cybersecurity professionals, according to the World Economic Forum.

Operational risk, such as fear of outages during testing, remains a concern for 30% of CISOs.

From Compliance Obligation to Strategic Weapon

Pentesting has evolved far beyond its origins as a regulatory requirement. Today, it supports strategic initiatives, including M&A due diligence and executive-level decision-making. Nearly one-third of respondents now cite “executive mandate” and “preparing for M&A” as key reasons for conducting pentests.

This marks a fundamental transformation: from a reactive check-up to a proactive and continuous measure of cyber resilience.

Final Thoughts

The 2025 State of Pentesting Survey Report is more than a status update—it’s a wake-up call. As attack surfaces grow and threat actors become more sophisticated, organizations can no longer afford slow, manual, or siloed approaches to security testing. AI-powered, software-based pentesting is stepping in to close that gap with speed, scale, and insight.

The organizations that thrive in this new era will be those that treat security validation not just as a technical necessity, but as a strategic imperative.

For more insights, download the full 2025 State of Pentesting Survey Report from Pentera.

[industrynewsupdates]

Key Drivers Fueling Growth in the Application Security Market

According to a new report released by Grand View Research, Inc., the global application security market is projected to reach a valuation of USD 25.10 billion by the year 2030. This growth reflects a strong compound annual growth rate (CAGR) of 18.7% over the forecast period from 2024 to 2030. The increasing severity and frequency of cybersecurity threats across the digital landscape are key factors driving the expansion of the global application security industry. As organizations become more dependent on web and mobile applications for day-to-day operations, these platforms have become increasingly vulnerable and attractive targets for cyberattacks. In response to the evolving threat landscape and the rising sophistication of cybercriminals, enterprises are prioritizing the implementation of robust application security solutions to protect sensitive and confidential data.

A notable trend shaping the future of application security is the integration of artificial intelligence (AI) into existing cybersecurity frameworks. The application of AI technologies, including subsets such as machine learning (ML) and expert systems, is expected to significantly enhance the effectiveness of application security solutions. These AI-driven systems are being employed to anticipate potential security threats, detect existing vulnerabilities, and recommend appropriate code-level remediation strategies by leveraging predictive analytics and inference capabilities.

In particular, AI’s ability to learn and adapt makes it highly valuable in the development of advanced tools such as User and Entity Behavior Analytics (UEBA). These tools can analyze patterns in user behavior across servers and endpoints to detect anomalies that may signal a potential cyberattack—often even before the vulnerability is officially recognized or addressed by developers. By enabling proactive threat detection and faster incident response, the integration of AI and ML technologies is expected to substantially boost the demand for application security solutions during the forecast period.

Furthermore, the growing emphasis on data privacy and regulatory compliance is also driving the market forward. Regulatory frameworks such as the General Data Protection Regulation (GDPR) in Europe, the Health Insurance Portability and Accountability Act (HIPAA) in the United States, and mandates from India’s Central Consumer Protection Authority, among others, are pushing organizations to implement stringent security measures. These regulations require businesses to uphold strict data protection standards and implement adequate safeguards to prevent data breaches and misuse. Failure to comply can result in substantial financial penalties and reputational damage, making application security tools a critical component of organizational risk management strategies.

Consequently, the rising need to adhere to complex regulatory requirements is compelling companies across diverse sectors to adopt advanced application security solutions. These tools help organizations not only meet compliance demands but also enhance overall security posture, thereby contributing to the steady expansion of the application security market.

Curious about the Application Security Market? Get a FREE sample copy of the full report and gain valuable insights.

The FAQs about the Application Security Market highlight its size, growth rate, key players, and technological segments.

1. How big is the application security market?

The global application security market size was estimated at USD 7.57 billion in 2023 and is expected to reach USD 8.98 billion in 2024.

2. What is the application security market growth?

The global application security market is expected to grow at a compound annual growth rate of 18.7% from 2024 to 2030 to reach USD 25.10 billion by 2030.

3. Which segment accounted for the largest application security market share?

Solution offering led the market and accounted for more than 67.0% of the global revenue in 2023. Application security solutions identify and manages open source and third-party component risks in the development and production of application security platforms. Additionally, application security solutions identify and concentrate on the highest-priority issues by aggregating risk scores based on software composition, static, and dynamic analysis when users filter across multiple security tests.

4. Who are the key players in application security market?

Some key players operating in the application security market include Capgemini, CAST Software, Checkmarx, Cisco Systems, Inc., and F5, Inc., GitLab, HCL Technologies Ltd , International Business Machines Corporation, MicroFocus, Onapsis, Rapid7, Synopsys, Inc., Veracode, VMware, and WhiteHat Security.

5. What are the factors driving the application security market?

The growing cybersecurity threats are one of the main factors propelling the global application security market. In addition, due to the increasing reliance on the internet and digital technology, applications are now a prime target for cyberattacks. Thus, driving the market demand of the application security market.

Order a free sample PDF of the Application Security Market Intelligence Study, published by Grand View Research.