Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Gartner's AI TRiSM Market Guide Validates the Urgency of AI Agent Security

AI Agents are not just another tech trend; they are fundamentally reshaping how enterprises operate. These autonomous systems are deeply embedded into workflows, making real-time decisions, executing tasks, and integrating across an organization’s most critical systems. With this shift comes an undeniable reality: enterprises are handing over operational control to AI-driven entities without the necessary governance and security frameworks in place.

The Agentic AI Revolution: 5 Unexpected Security Challenges

As we stand on the brink of the agentic AI revolution, it’s crucial to understand the profound impact AI agents will have on how people, applications and devices interact with systems and data. This blog post aims to shed light on these changes and the significant security challenges they bring. It’s important to note that given the rapid pace of advancements in this field, we could not have anticipated many of the challenges discussed here just a few months ago.

Running DeepSeek AI privately using open-source software

Zeek is a powerful open-source network analysis tool that allows users to monitor traffic and detect malicious activities. Users can write packages to detect cybersecurity events, like this GitHub repo that detects C2 from AgentTesla (a well-known malware family). Automating summarization and documentation using AI is often helpful when analyzing Zeek packages.

AI Data Compliance: All You Need To Know About DevOps Data Protection

The evolution of artificial intelligence has been rapid thus far. By 2030 the AI market is projected to reach $1.81 trillion. Technology supported by AI has been useful in many areas of life such as education, healthcare, or finance. That is reflected by the rate of AI adoption by organizations being 72% (2024). Even if you just look around you – many people use tools like ChatGPT for daily life or work, AI helps with email management or studying. What do these advancements in AI bring to DevOps?

Unified AI in XDR: A Single Source of Cyber Truth

Cyber threats are evolving fast, and your clients rely on you to stay ahead. Join us for an exclusive webinar to discover how XDR can harness AI across your entire IT environment – correlating data from networks, Cloud services, VPN logs, and more into a single, AI-driven security framework. AI dramatically improves threat detection accuracy while reducing false positives, so you and your team can focus on real risks instead of chasing alerts.

Leveraging Generative AI with DevSecOps for Enhanced Security

AI has made good on its promise to deliver value across industries: 77% of senior business leaders surveyed in late 2024 reported gaining a competitive advantage from AI technologies. While AI tools allow developers to build and ship software more efficiently than ever, they also entail risk, as AI-generated code can contain vulnerabilities just like developer-written code. To enable speed and security, DevSecOps teams can adopt tools to integrate security tasks into developer workflows.

AIOps: Optimize IT Operations and Enhance Security with AI

Businesses must manage IT operations and cybersecurity in the day-to-day and ever-evolving digital world, which is becoming more and more complicated. Cyber threats, system warnings, and the increasing amount of data are too much for traditional IT management techniques to handle. This is where artificial intelligence for IT operations changes the game.

How AI-Automated Fuzzing Uncovered a Vulnerability in wolfSSL

Despite wolfSSL’s rigorous software testing practices, in October 2024, Code Intelligence—an application security vendor—discovered a potentially exploitable defect in wolfSSL. Remarkably, the potential vulnerability was found without human intervention. The only manual step was executing a single command to trigger autonomous fuzz testing. Watch the video for a live demo of AI-automated fuzzing.

Torq's AI-Native Autonomous SOC Wins Check Point's CPX 2025 Innovation Sandbox Competition

Torq took home the top prize at Check Point’s 2025 Innovation Sandbox Competition during their annual CPX conference in Las Vegas. Chris Coburn, Torq’s Sr. Director of Tech Alliances, faced off against 13 other companies to pitch Torq’s AI-native autonomous SOC to a panel of judges and voting audience.

7 Marketing Strategies to Improve Customer Insights and Engagement

Understanding customers is key to increasing engagement and sales. People interact with businesses in many ways, including social media, websites, emails, and ads. With consumer preferences constantly evolving, businesses must stay ahead by understanding how and where their audience engages.

Keep AI interactions secure and risk-free with Guardrails in AI Gateway

The transition of AI from experimental to production is not without its challenges. Developers face the challenge of balancing rapid innovation with the need to protect users and meet strict regulatory requirements. To address this, we are introducing Guardrails in AI Gateway, designed to help you deploy AI safely and confidently.

The Dawn of Agentic AI in the SOC

Now that six in ten security leaders view AI as a “game changer” across all security functions and 85% of security professionals report increased AI investment and usage in the past year, it’s clear that AI is no longer a fringe technology in security operations. But the AI conversation has evolved recently as a new buzzword has taken over: agentic AI.

Does Claude 3.7 Sonnet Generate Insecure Code?

With the announcement of Anthropic’s Claude 3.7 Sonnet model, we, as developers and cybersecurity practitioners, find ourselves wondering – is the new model any better at generating secure code? We commission the model to generate a classic CRUD application with the following prompt: The model generates several files of code in one artifact, which the user can manually copy and organize according to the file tree suggested by Claude alongside the main artifact.

Key Updates in the OWASP Top 10 List for LLMs 2025

Last November, the Open Web Application Security Project (OWASP) released its Top Ten List for LLMs and Gen AI Applications 2025, making some significant updates from its 2023 iteration. These updates can tell us a great deal about how the LLM threat and vulnerability landscape is evolving - and what organizations need to do to protect themselves.

The Use Of Artificial Intelligence In Threat Intelligence

Artificial Intelligence (AI) is a double-edged sword in cybersecurity, empowering both defenders and attackers. AI-driven security systems are often used to detect threats in real-time, analysing large datasets for anomalies, and automating responses to cyberattacks. However, cybercriminals are also leveraging AI to create advanced malware, automate phishing attacks, and evade traditional defenses.

UK Cracks Down on AI-Generated Child Abuse Content

As AI tools grow more sophisticated and accessible, sadly exploitation of these tools also increases. Recognising this, the Home Office has made the UK the first country in the world to introduce new legislation that targets predators producing AI-generated child sexual abuse material (CSAM). AI-generated content has severe consequences for victims. CSAMs may be used to manipulate or blackmail children, perpetuate harmful narratives, or retraumatise victims whose likenesses have been altered.

Empowering Data Security in GenAI: Step-by-Step Guide to PII Safeguarding in Bedrock using Protegrity

Generative AI (GenAI) applications, especially through Retrieval-Augmented Generation (RAG) pipelines, are transforming business interactions with data. These pipelines leverage language models and extensive enterprise knowledge bases for real-time queries of large internal datasets. Robust data privacy and security solutions are essential. Amazon Bedrock’s native security guardrails address this need.

Securing Protected Health Information: A Guide to Website Compliance Using Feroot Health DataShield AI

Healthcare organizations managing multiple websites must protect Protected Health Information (PHI) while complying with HIPAA, HHS regulations, state laws, and global privacy requirements. Feroot DataShield AI provides automated monitoring and protection across distributed healthcare web environments.

The Rise of AI-Generated Attacks: Why UEBA is the Best Defense

The cybersecurity industry is facing a new challenge: AI-generated attacks. With the rapid advancement of generative AI, cybercriminals now have access to sophisticated tools that enable them to craft highly targeted attacks with minimal technical expertise. Unlike traditional attack methods that require deep programming knowledge, AI-driven attacks allow even non-technical malicious actors to create malware, exploit scripts, and launch phishing campaigns with ease.

Is Building Customer Trust in Cyber Sales Really That Simple?

Gaining customer trust in cyber sales might seem like a tall order. After all, you're asking people to trust you with their money-or even more tricky, their data-on an often faceless digital platform. But is it really that hard to build trust? Maybe not. With the right approach, some genuine effort, and the use of smart tools, creating strong customer relationships in cyber sales might actually be simpler than you think.

Cybersecurity in Telecom: How Smart Expense Management Helps Mitigate Risks

Telecom cyber attacks have evolved, leading to data exposure, unauthorized access, and financial loss. Poor security controls and unmanaged telecom expenditure typically leave firms vulnerable to fraud and abuse. Expense management is essential for detecting anomalies that can be used to identify security threats. Real-time telecom spending monitoring helps firms detect suspicious behavior, prevent unauthorized use, and enhance overall security. Proactive monitoring helps with both financial control and network security.

Securing AI vs AI Security: What Are We Talking About?

Lately, it seems like the only thing anyone is talking about in the technology sector is Artificial Intelligence. With good reason! AI is an incredibly powerful tool that is only going to grow in usage and scope. However, there seems to be a lot of confusion around various terms involving AI and security. The focus of this blog will be breaking down the differences between securing AI, secure AI use, AI for security, and AI safety.

The Quiet Data Leak from GenAI

Like me, I’m sure you’re keeping an open mind about how Generative AI (GenAI) is transforming companies. It’s not only revolutionizing the way industries operate, GenAI is also training on every byte and bit of information available to build itself into the critical components of business operations. However, this change comes with an often-overlooked risk: the quiet leak of organizational data into AI models.

A Deep Dive into DeepSeek

At a time when new AI models are constantly emerging, the launch of DeepSeek has led to questions and concerns around AI model security, data security, and national security. What is DeepSeek, and how was it trained? What are the risk implications of using it? Tune in for the answers to these questions and more in our first-ever video episode of the Adversary Universe podcast.

Zenity Recognized in Gartner AI TRiSM Market Guide

Innovation, specifically the evolution of technology, has always been about expanding what’s possible or simplifying today’s complexity – sometimes both. We saw this with the internet revolution, adoption of cloud computing, remote working, low-code/no-code, and now AI is fundamentally reshaping how teams operate. While these advancements bring opportunities for organizations and push people’s creativity to new limits, they also introduce new risks.

DataTrails and Daiki Join Forces to Revolutionize Trust and Governance in the AI Era

Confidently scale AI initiatives with irrefutable proof of ethical data practices and compliant AI operations. In today’s rapidly evolving digital landscape, the intersection of data provenance and AI governance has become mission-critical for businesses. As AI continues to shape industries – from healthcare and finance to media and technology – the need for verifiable data integrity and responsible AI oversight has never been more urgent.

Will AI start taking cybersecurity jobs?

No, but it’s fundamentally changing them. Generative AI (GenAI) is quickly becoming an essential part of everyday security workflows. So … is it a partner or competitor? The wide-ranging implementation of GenAI technologies into virtually every aspect of the security stack has, on the whole, helped security teams work more efficiently to mitigate threats.

Beware: DeepSeek Phishing Scams - How the Cybercriminals Target Users and Crypto Wallets

Cybercrooks are never short of seeking the next greatest opportunity to exploit unsuspecting victims, and it is no coincidence that the increasing interest in the R1 AI chatbot at DeepSeek offered them the best cover. With the emergence of fake DeepSeek websites, fraudulent sites have now been targeting personal information, logins, and even cryptocurrency wallet details from potential victims.

AI-Powered Cybercrime: Is Your Business Ready to Defend?

Artificial intelligence (AI) is one of the hottest buzzwords across industries, seemingly connected to almost every aspect of technology. AI models are helping software and tech products take their services to the next level, enhancing speed, accuracy, and efficiency. But this leap forward also introduces a deceptive shadow: AI-powered cybercrime. Companies may feel adequately protected against standard cyber threats, but many underestimate AI-powered cybercrime risks.

How Headless CMS is Powering the Next Generation of Gaming Websites and Esports Platforms

With millions of daily competitors, fans, and streamers engaging across channels, the esports and gaming space is on a larger scale than ever. With digital expansion comes the need for esports and gaming sites to have more agility, speed, and growth opportunities, as demand is expected to only increase significantly. However, while demand exists, the average content management system (CMS) fails to deliver the capabilities required from real-time updates and functional refreshes for sites that require extensive dynamic content to those that facilitate multiplayer gaming online. Your Gaming Website and Esports Site of the Future.

AI in Cybersecurity: Friend or Foe?

Did you know that while AI is revolutionizing industries such as healthcare and finance, it’s also becoming a potent tool for cybercriminals? Fact Check – True. Ransomware attacks are becoming more frequent and sophisticated, driven by AI advancements. This blog examines AI’s dual role in cybercrime—both as a tool for attackers and a defense for cybersecurity—focusing on ransomware, data theft, and protective measures.

Building a smarter retrieval system: Lessons from Vanta AI

At Vanta, we power a suite of AI products that enable thousands of customers worldwide to make critical business decisions. These products rely on the ability to quickly search through millions of customer documents to surface relevant information and drive accurate outcomes. ‍ Building a retrieval system capable of handling this scale and complexity was no small feat. Along the way, we learned valuable lessons that we’re excited to share.

Is Your AI App Safe? Analyzing Deepseek's Security Vulnerabilities

Artificial Intelligence is reshaping how we interact with technology, from virtual assistants to advanced search engines. However, with great power comes great responsibility—particularly when it comes to security. These apps often handle sensitive data, making them prime targets for cyberattacks. At Appknox, we're committed to ensuring that the latest AI applications are safe for users.

How AI Test Agent autonomously finds bugs

A few weeks ago, we introduced Spark, an AI Test Agent that autonomously uncovers bugs in unknown code with just a single command. Watch the video to see how Spark generated 3 successful fuzz tests, identified a severe vulnerability, and achieved 79% code coverage with just one command. Spark has already identified several real-world vulnerabilities in open-source projects, even those that are continuously fuzzed.

Reshaping IGA for the Modern Enterprise: Welcome Zilla Security to CyberArk

This week, we announced an important development in our journey to deliver the industry’s most powerful, comprehensive identity security platform. CyberArk has acquired Zilla Security, a leader in modern Identity Governance and Administration (IGA) solutions, bringing their cutting-edge, AI-powered technology into the fold of our industry-leading platform.

Artificial Intelligence Security Posture Management (AISPM): An Explainer

As AI Agents continue to revolutionize everything about how business is done, ensuring the security of these agents has become paramount. While organizations have rushed to adopt DLP processes and whitelist/blacklist policies to block the use of malicious prompts, it’s worth noting that DLP and firewalls have been around for a very long time and have proven limited in mitigating the risks of users copy/pasting sensitive information onto the internet.

Sensitive Data Leaks from AI Model Use | The 443 Podcast

How are you using ChatGPT at work? On this week's episode of, Corey Nachreiner and Marc Laliberte dig into a report on sensitive data leakage caused by AI model use. They also cover a recent report that highlights a drop in ransomware payments in 2024, as well as a recent attack targeting ASP.NET web servers.

The Dangers of Rushing into AI Adoption: Lessons from DeepSeek

As organizations race to adopt the latest advancements in artificial intelligence, DeepSeek serves as a cautionary tale about the potential dangers of rushing into the hype cycle without adequate consideration of security and ethical implications. DeepSeek, a Chinese AI startup, has been identified as having several significant security risks and vulnerabilities that could pose threats to both the company and its users.

CrowdStrike Leads Agentic AI Innovation in Cybersecurity with Charlotte AI Detection Triage

AI has become both a powerful ally and a formidable weapon in today’s cybersecurity landscape. While AI enables security teams to detect and neutralize threats with unmatched speed and precision, adversaries are equally quick to exploit its potential with increasingly sophisticated and automated attacks. This duality has created an arms race in which organizations must not only adopt AI but continually innovate to stay ahead.

How AI-powered Secure Email Gateways Fight Back vs. AI-armed Bad Actors

As bad actors use artificial intelligence to step up their phishing game, mounting an effective defense means using a secure email gateway that likewise employs AI to detect even the most cleverly crafted phishing emails and the fraudulent websites to which the emails attempt to direct recipients. The concern is not just with generative AI (GenAI) tools like ChatGPT, which has some (rather limited) guardrails to prevent nefarious use.

Protecting Sensitive Data in Snowflake through Protecto's External Tokenization

With the rapid expansion of cloud data storage and analytics, enterprises are increasingly leveraging platforms like Snowflake for their scalability and performance. However, this also introduces new challenges in data security, particularly for industries dealing with sensitive data such as finance, healthcare, and e-commerce.

7 Questions Tech Buyers Should Ask About How Their Vendors Use AI

As AI becomes an increasingly critical component in the digital supply chain, tech buyers are struggling to appropriately measure and manage their AI risk. Keeping tabs on emerging risk from the AI technology they use is hard enough. But often the most crucial AI business functions that organizations depend upon aren’t directly under their control or care, but instead are governed by the tech vendors that embed them into their underlying software.

What You Need to Know about the DeepSeek Data Breach

DeepSeek, founded by Liang Wenfeng, is an AI development firm located in Hangzhou, China. The company focuses on developing open source Large Language Models (LLMs) and specializes in data analytics and machine learning. DeepSeek gained global recognition in January 2025 with the release of its R1 reasoning model rivalling OpenAI's o1 model in performance but at a substantially lower cost.

How to Securely Embrace the AI Revolution in Software Development

Software development is one of the most impacted workflows in the Artificial Intelligence revolution. How will you handle the AI-driven revolution in software development securely? Check out this video to see how our innovation can help you stop risks in AI and the software supply chain at the start.

Securing Code in the Era of Agentic AI

AI coding assistants like GitHub Copilot are transforming the way developers write software, boosting productivity, and accelerating development cycles. However, while these tools generate code more efficiently, they also introduce new risks more efficiently—potentially embedding security vulnerabilities that could lead to severe breaches down the line. What is your plan for reducing risk from the vast amount of insecure code coming through agentic AI in software development?

Web-Based AI Agents: Unveiling the Emerging Insider Threat

The introduction of OpenAI’s ‘Operator’ is a game changer for AI-driven automation. Currently designed for consumers, it’s only a matter of time before such web-based AI agents are widely adopted in the workplace. These agents aren’t just chatbots; they replicate human interaction with web applications, executing commands and automating actions that once required manual input.

EP 1 - AI Gone Rogue: FuzzyAI and LLM Threats

In the inaugural episode of the Security Matters podcast, host David Puner dives into the world of AI security with CyberArk Labs' Principal Cyber Researcher, Eran Shimony. Discover how FuzzyAI is revolutionizing the protection of large language models (LLMs) by identifying vulnerabilities before attackers can exploit them. Learn about the challenges of securing generative AI and the innovative techniques used to stay ahead of threats. Tune in for an insightful discussion on the future of AI security and the importance of safeguarding LLMs.

Guarding open-source AI: Key takeaways from DeepSeek's security breach

In January 2025, within just a week of its global release, DeepSeek faced a wave of sophisticated cyberattacks. Organizations building open-source AI models and platforms are now rethinking their security strategies as they witness the unfolding consequences of DeepSeek’s vulnerabilities. The attack involved well-organized jailbreaking and DDoS assaults, according to security researchers, revealing just how quickly open platforms can be targeted.

A Phased Approach: Thoughts on EU AI Act Readiness

The European Union’s (EU) AI Act (the Act) represents landmark artificial intelligence (AI) regulation from the EU designed to promote trustworthy AI by focusing on the impacts on people through required mitigation of potential risks to health, safety and fundamental rights. The Act introduces a comprehensive and often complex framework for the development, deployment and use of AI systems, impacting a wide range of businesses across the globe.

The AI Shared Responsibility Model: Who's Job Is It Anyway?

In this episode of Into the Breach, James Purvis and Filip Verloy explore the AI Shared Responsibility Model, a framework introduced by Microsoft. They break down the roles and responsibilities of cloud providers, model providers, and customers in securing AI-powered environments. From understanding the unique challenges of generative AI tools like CoPilot to the importance of proactive data governance, this discussion offers practical insights into navigating AI security today and in the future.

Game Development Security Trends in 2025

Game development is more exciting than ever, but with new technology comes new security challenges. In 2025, protecting games isn't just about stopping cheaters - it's about safeguarding player data, preventing cyberattacks, and ensuring fair play in an industry that's constantly evolving.

How BullX Neo Uses AI to Improve Trading Accuracy

Success in cryptocurrency trading depends on speed and precision. The market moves quickly. Bullxneo offers a smart trading bot that uses artificial intelligence (AI). It changes how trading works in the market. BullX Neo helps traders trade accurately and protect their investments. It reduces risks and boosts profits, even those without trading experience. The new instrument works using unique systems. These systems are different from the trading bots available today. As explained below.

A Deep Peek at DeepSeek

DeepSeek’s rapid ascent in the AI space has made it impossible to ignore. Its sophisticated models and AI assistant have captured global attention. And, while headlines focus on DeepSeek’s capabilities, STRIKE research exposes critical security flaws, hidden data flows, and unanswered questions about who has access to the data and why.

Proficio utilizes Elastic Security for threat management and AI integration

Brad Taylor, CEO and co-founder of Proficio, discusses the dynamics of cybersecurity, the essentials of managed detection and response, and how Proficio leverages Elastic and AI to protect global organizations from emerging threats. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

From our DevSecOps teams to yours: Discover Mo Copilot

Join Rowan Noronha, Kui Jia, and John Visneski as they explore how cutting-edge AI is revolutionizing DevOps and security workflows with Sumo Logic Mo Copilot, an innovative AI-powered assistant designed to simplify and accelerate DevSecOps operations. Learn how Copilot leverages natural language processing to address common challenges such as troubleshooting, threat response, and unified data integration, offering teams unprecedented efficiency and clarity.

Tokenization Vs Hashing: Which is Better for Your Data Security

Data security is a critical concern for organizations worldwide. Cyberattacks and data breaches have put sensitive information such as customer data, payment details, and user credentials at constant risk. Techniques like tokenization vs hashing provide essential tools to safeguard this information effectively. Understanding the distinctions between these methods is crucial for selecting the right approach.

LLMjacking targets DeepSeek

Since the Sysdig Threat Research Team (TRT) discovered LLMjacking in May 2024, we have continued to observe new insights into and applications for these attacks. Large language models (LLMs) are rapidly evolving and we are all still learning how best to use them, but in the same vein, attackers continue to evolve and grow their use cases for misuse.

Using Exposed Ollama APIs to Find DeepSeek Models

The explosion of AI has led to the creation of tools that make it more accessible, leading to more adoption and more numerous, less sophisticated users. As with cloud computing, that pattern of growth leads to misconfigurations and, ultimately, leaks. One vector for AI leakage is exposed Ollama APIs that allow access to running AI models. Those exposed APIs create potential information security problems for the models’ owners.

AI Security is API Security: What CISOs and CIOs Need to Know

Just when CIOs and CISOs thought they were getting a grip on API security, AI came along and shook things up. In the past few years, a huge number of organizations have adopted AI, realizing innumerable productivity, operational, and efficiency benefits. However, they’re also having to deal with unprecedented API security challenges. Wallarm’s Annual 2025 API ThreatStats Report reveals a staggering 1,025% year-on-year increase in AI-related API vulnerabilities.

Don't Fall Victim: DeepSeek-Themed Scams Are on the Rise

Scammers are taking advantage of the newfound popularity of the China-based AI app DeepSeek, according to researchers at ESET. DeepSeek released its generative AI tool last month, and it’s since overtaken ChatGPT as the top free app in Apple’s App Store. Users are now spotting lookalike domains designed to deliver malware or steal information. Other scams offer users the opportunity to buy phony stocks in DeepSeek.

Autonomous Adversaries: Are Blue Teams Ready for Cyberattacks To Go Agentic?

2024 was a year of incredible progression for Artificial Intelligence. As large language models (LLMs) have evolved, they have become invaluable tools for enriching the capabilities of defenders – instantly providing the knowledge, procedures, opinions, visualizations, or code any given situation demands. However, these same models provide outputs that enable even low-sophistication attackers to uplift their own skill-levels.

The Dark Side of AI: How Cybercriminals Exploit Generative AI for Attacks

Artificial Intelligence (AI) has been a game-changer in industries that have further churned into process efficiency and revolutionized cybersecurity. On the flip side, its potential has been weaponized by threat actors. Google's Threat Intelligence Group (GTIG) recently came out with reports which showed that state-sponsored hackers are actively exploiting Google's AI-powered Gemini assistant to strengthen their cyberattacks.

Warning: Organizations Need to Prep For AI-Powered Ransomware Attacks

The rise of agentic AI tools will transform the cybercrime landscape, according to a new report from Malwarebytes. Agentic AI—which is still under development—is a step above the generative AI tools that are currently available to the public, and will likely be widely released in 2025. While these tools will have many legitimate uses, they’ll also enable cybercriminals to scale their attacks.

2025 OWASP Top 10 for LLM Applications: A Quick Guide

Published first as a whitepaper in late 2024, the 2025 OWASP Top 10 for LLM Applications is yet another monumental effort from OWASP made possible by a large number of experts in the fields of AI, cybersecurity, cloud technology, and beyond—including Mend.io Head of AI Bar-El Tayouri. LLMs are still new to the market but beginning to mature, and the OWASP Top 10 for LLM Applications is maturing alongside it.

Introducing the Ivanti ITSM & Protecto Partnership: Enabling Secure Data for AI Agents

Discover how Protecto secures data within Ivanti ITSM APIs to prevent data leaks, privacy violations, and compliance risks. In this video, we’ll show how Protecto acts as a data guardrail, ensuring that sensitive information like PII and PHI is identified, masked, and handled securely before it reaches AI agents. Participants: Amar Kanagaraj, Founder & CEO of Protecto Kalyan Vishnubhotla, Director of Strategic Partnerships, Ivanti.

The AI Hunger Games - The Rapid Adoption of DeepSeek: A Security Nightmare

The recent rapid adoption of the AI application “DeepSeek” has gained significant global attention. Becoming the app on both the Apple Store and Google Play Store within its first few days, seeing over 10 million downloads. While this explosive growth of DeepSeek R1 highlights the public’s fascination with AI-driven tools, the security community and policymakers have been less enthusiastic.

Feroot Security Research Reveals DeepSeek AI's Hidden Data Pipeline to China

ABC Good Morning America featured an exclusive report this morning highlighting Feroot’s discovery of concerning code within DeepSeek’s AI platform. Feroot, a leading cybersecurity firm, uncovered hidden capabilities enabling direct data transmission from DeepSeek to China Mobile servers.

AP News - Feroot Research Uncovers DeepSeek's Connection to Chinese State-Owned Telecom

Researchers at Feroot Security have identified computer code within the web-based version of DeepSeek’s AI chatbot that could potentially send user login information to China Mobile, a Chinese state-owned telecommunications company. This discovery raises significant privacy and national security concerns, particularly as China Mobile has been barred from operating in the United States due to its alleged ties with the Chinese government and military.

Strategies and Tradeoffs when Running AI Models on Lean Resources

This article explores the recommended infrastructure for AI workloads, strategies to optimize performance on less expensive servers, and trade-offs in terms of cost and results. We’ll also provide examples of AWS EC2 instance types and pricing to illustrate practical options.

DeepSeek Just Shook Up AI. Here's How to Rethink Your Strategy.

The rapid rise of generative AI (genAI) applications is reshaping enterprise technology strategies, pushing security leaders to reevaluate risk, compliance, and data governance policies. The latest surge in DeepSeek usage is a wake-up call for CISOs, illustrating how quickly new genAI tools can infiltrate the enterprise. In only 48 hours, Netskope Threat Labs observed a staggering 1,052% increase in DeepSeek usage across our customer base.

The Hidden Biases in Your AI

"Bias" might sound simple, but in AI, it's anything but. Here's the reality: AI isn't free of prejudice; instead, it reflects it-sometimes in surprising and troubling ways. A quote from IBM's Francesca Rossi captures it well: "AI is a reflection of our humanity. When we don't address biases, we don't just create flawed machines; we amplify our own inequalities." This concept isn't just a philosophical idea; it's an observable and urgent issue.

DeepSeek: A Deep-Dive into the Latest AI-powered LLM

DeepSeek is a Hangzhou-based startup founded in December 2023 by Liang Wenfeng. It released its first AI-based large language model in 2024. The company recently received widespread attention after releasing a new open-source AI model that rivals OpenAI’s work. The app shot to the top of the app stores’ downloads list and has sparked much interest.

Building vs. Buying: Navigating the Data Privacy Vault Dilemma

In today’s AI-driven world, where data powers everything from personalized recommendations to advanced business analytics, safeguarding sensitive information is more critical than ever. As data breaches and regulatory requirements grow more complex, organizations face mounting pressure to protect personal and confidential information with a data privacy vault that ensures security and compliance.

Behind the scenes of Elastic Security's generative AI features

A quantitative approach to prompt tuning and LLM evaluation Elastic has long been developing machine learning (ML) and AI-powered security detections. We constantly bring in new technologies when available to help make our users’ lives easier. So, with the rise of generative AI (GenAI), we have developed even more Elastic Security features to use this powerful, new technology. Among those are.

DeepSeek DDoS: Why AI Needs Machine Identity Security

Imagine a sleek, high-tech sports car racing downhill without brakes. Now, imagine that car is actually the AI driving your business. Powerful yet precariously close to catastrophe. That’s why, as we accelerate AI adoption, including AI agents, we can’t afford to overlook security guardrails. This fact was front and center during the recent “large-scale cyberattack” on DeepSeek, a strategic open-source AI player from China that’s been disrupting the global AI space.

Best LLM Security Tools of 2025: Safeguarding Your Large Language Models

As large language models (LLMs) continue to push the boundaries of natural language processing, their widespread adoption across industries has highlighted the critical need for robust LLM security solutions. These powerful AI systems, while immensely beneficial, are vulnerable to emerging threats such as data leakage, prompt injection attacks, and compliance risks. In 2025, the landscape of LLM security tools has evolved to address these unique challenges, ensuring their safe and responsible deployment.

What are the benefits of using white label AI software?

White label AI software is a solution that gives companies huge opportunities to use artificial intelligence technology under their own brand. It is a solution that allows companies to implement modern tools faster and effectively develop in a shorter time in virtually every industry. How do such white label AI solutions help in company development? In which industries is such software most often used?

Securing LLM-Powered Applications: A Comprehensive Approach

Large language models (LLMs) have transformed various industries by enabling advanced natural language processing, understanding, and generation capabilities. From virtual assistants and chatbots to automated content creation and translation services, securing LLM applications is now integral to business operations and customer interactions. However, as adoption grows, so do security risks, necessitating robust LLM application security strategies to safeguard these powerful AI systems.

Understanding LLM Evaluation Metrics for Better RAG Performance

In the evolving landscape of artificial intelligence, Large Language Models (LLMs) have become essential for natural language processing tasks. They power applications such as chatbots, machine translation, and content generation. One of the most impactful implementations of LLMs is in Retrieval-Augmented Generation (RAG), where the model retrieves relevant documents before generating responses.

OWASP LLM Top 10 for 2025: Securing Large Language Models

As the adoption of large language models (LLMs) continues to surge, ensuring their security has become a top priority for organizations leveraging AI-powered applications. The OWASP LLM Top 10 for 2025 serves as a critical guideline for understanding and mitigating vulnerabilities specific to LLMs. This framework, modeled after the OWASP Top 10 for web security, highlights the most pressing threats associated with LLM-based applications and provides best practices for securing AI-driven systems.

Avoid Rookie Mistakes: Tips for Managing LLM Cost

The initial excitement of deploying a first large language model application often wears off quickly when the first bill arrives. Many newcomers face sticker shock when they see how quickly LLM costs can escalate. Money matters in AI projects. Most teams discover this truth the hard way. The difference between success and failure often comes down to financial planning. Organizations rushing to implement AI solutions frequently overlook the financial aspects.

Understanding Common Issues in LLM Accuracy

Large language models transform how people interact with AI technology. Despite impressive capabilities, these systems struggle with consistent LLM accuracy. Users frequently encounter false information, logical errors, and confused responses. Many organizations deploy LLM-powered applications without understanding these limitations. The consequences range from minor inconveniences to major business disasters. Engineers need practical knowledge about accuracy challenges.