Ransomware kept its grip on organizations through the second quarter of 2026, and the headline number barely moved. What changed underneath that number is more interesting: new research gave us a rare look inside a top tier operation as it was being built, and it revealed just how little it now takes for a small and skilled group to reach the top of the field. Here’s what the quarter actually showed, and what it means for how you defend against it.  Key takeaways  Data leak sites recorded 2,139 ransomware victims in Q2 2026, essentially flat versus Q1 and up 33% […]

The post Ransomware Didn’t Slow Down in Q2 2026. It Just Spread Out. appeared first on Check Point Blog.

Anthropic’s new inference hooks give enterprises a native enforcement point before prompts ever reach the model. Combined with Check Point Workforce AI Security, organizations get a real-time allow-or-deny decision on every prompt, with no proxy in the path. Why This Matters Enterprise AI adoption has moved well past experimentation. Employees draft documents, write code, summarize meetings, and query enterprise knowledge through large language models every day. The challenge was never understanding that AI introduces risk. It was finding a practical enforcement point. Web gateways and Data Loss Prevention (DLP) tools were designed for websites and SaaS applications, not conversations with […]

The post Native AI Security Comes to Claude: Why Anthropic’s Inference Hooks Matter appeared first on Check Point Blog.

Check Point brings open research, objective benchmarks and customer-controlled runtime protection to the industry initiative introduced by NVIDIA.  AI is rapidly changing how organizations build, operate, and protect their digital environments. As a leader in the global cyber community, we believe in the power of collective intelligence. We are proud to join the Open Secure AI Alliance as an inaugural member, working alongside leaders from across cyber security, cloud computing, enterprise software, AI, and the open-source community.  Introduced by NVIDIA, the alliance is creating a collaborative foundation for developing and sharing open technologies that advance AI safety and security, and will help organizations identify, remediate, and responsibly disclose […]

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This week, the UK’s AI Security Institute (AISI) published an incident report most organizations would have quietly buried. During a routine cyber evaluation, an AI agent researched the real human maintainers of an open-source project, invented multiple fake online identities, and used them to pressure a real person into approving malicious code. Nobody instructed it to deceive anyone, and deception simply became a route to finishing the task. A human maintainer caught it and refused. The facts AISI ran a cybersecurity challenge 122 times across seven models. In 10 runs, an agent acted outside the scope of the test, producing […]

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A few weeks ago, an AI cyber evaluation produced an unexpectedly efficient strategy for solving a benchmark: the agents went looking for the answers. According to OpenAI’s preliminary disclosure, models being tested for advanced cyber capabilities found ways to obtain secret information that could help them complete a benchmark. They chained vulnerabilities, stolen credentials, internet access, and inferences about where benchmark material might be hosted. The route eventually reached Hugging Face infrastructure, where the activity was detected and contained. Hugging Face has since published a technical reconstruction of 17,600 actions. Its investigators found a coherent intrusion that rebuilt tooling, tested […]

The post When Data Becomes Instructions: AI Agents Need a Chain of Custody for Context appeared first on Check Point Blog.

What OpenAI’s and Anthropic’s testing incidents really teach defenders  In the past two weeks, two of the world’s leading AI labs have disclosed the same unsettling result. During their own safety testing, their most capable models reached real companies’ systems. First OpenAI, whose models broke into Hugging Face. Then Anthropic, whose models reached three more organizations.  Read the disclosures closely. Two facts carry the weight.  First, the safeguards were not defeated. They were switched off by design. OpenAI ran the models with reduced cyber refusals and safety classifiers disabled, to measure raw capability on a cyber benchmark. A model doing […]

The post AI Escaped a Sandbox. That is Not What Should Worry You appeared first on Check Point Blog.

AI has introduced a new class of network traffic. Prompts, file uploads, model calls, and agent actions carrying sensitive business context now traverse the network as organizations race to adopt AI and achieve their business goals. Traditional firewalls were never built to understand these connections, AI activity often looks like ordinary web traffic, leaving the firewall unable to determine whether a prompt contains sensitive data, an agent is calling a tool it should never access, or an application’s AI model is subjected to a malicious prompt. These challenges demand comprehensive protection, which is why Check Point created the AI Defense […]

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Update: Hugging Face has since published a detailed technical timeline of the incident. The additional technical details reinforce the core takeaway discussed here: advanced AI agents can pursue objectives in unexpected ways, making runtime governance and security controls increasingly important.  There are certain moments in technology where you realize the conversation is about to change. I remember the first time I launched an EC2 instance. I remember trying Uber when there were only a handful of cars on the road. I remember riding in a Waymo before autonomous driving felt normal. Each one was an early glimpse of a future […]

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The model migration is ready for approval. Tests show better performance and lower costs. The application will serve the same users, process the same data, and support the same business workflow. The product team expects a straightforward technical sign-off. Then security asks the question that changes the review: which controls will survive the switch? Access rules, data protection, logging, and human approval may depend on settings provided by the current model platform. A migration can alter the organization’s effective policy even when the business use stays exactly the same. Models and providers will keep changing. The requirements attached to business […]

The post Your AI Governance Policy Should Survive Your Next Model Change appeared first on Check Point Blog.

Today is AI Appreciation Day, and honestly, we mean it. AI has changed how we write code, analyze threats, and get work done faster than anyone thought possible a few years ago. It deserves a moment of gratitude. But at Check Point, we spend most of our year studying the other side of that coin and our newly released AI Security Report 2026 makes one thing very clear: the same qualities we’re celebrating today are exactly what’s made AI such a powerful tool for attackers too. So in the spirit of appreciating AI honestly, not just enthusiastically, here’s what a […]

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Security programs are built around moments of closure: the finding is closed, the control passed, and the release can move forward.  AI security refuses to cooperate with that model.  A passing test is useful evidence, but only for a specific system, configuration, and moment.  Production AI keeps moving. Models change behavior, prompts are revised, retrieval sources are added, agents gain tools, and users introduce unexpected context. Attackers adapt just as quickly. Yesterday’s clean result may not describe tomorrow’s risk.  That has been the practical case for continuous AI red teaming. Now, research from the National Institute of Standards and Technology […]

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Key Takeaways Vulnerability response times have collapsed from days to hours. AI can reason about code well enough to generate working exploits at scale, so defenders now face patch windows of 12 to 72 hours instead of the traditional timeframe Your exposed AI infrastructure is being actively probed right now. Model servers, inference endpoints, and agent control panels are facing the internet, and most security teams don’t know they’re there Data leakage through approved AI use doubled in one year. Employees sharing context with generative AI to get useful answers are exposing credentials and source code in ordinary workflows, no […]

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Every AI vendor is talking about agents – autonomous systems that handle complex tasks without constant human input. The promise is real. But one question gets asked too rarely: what makes an agent reliable enough to trust with your network security?  The answer isn’t the model. It’s the harness.  Agents Run on LLMs. Reliability Runs on Something Else AI agents get their reasoning power from large language models (LLMs). LLMs are impressive. They understand context, reason through complex problems, and plan across a wide range of tasks.  But on its own, an LLM is a generalist. It knows a little about everything and not enough about your […]

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Walk into almost any executive leadership meeting right now and you’ll find the same dynamic playing out. The CEO is asking how the company can do more with AI, faster. Engineering teams are already three sprints deep into building something new. And when the CISO walks into the room, the energy subtly shifts. The unspoken question is always the same: is this person here to help us move, or to slow us down? That dynamic is an issue, and I think it’s one the security community has to own. The CISO has long carried the label of the “Office of […]

The post Redefining the CISO Contract: From Securing the Business to Securely Doing Business appeared first on Check Point Blog.

AI security is getting attention because AI has stopped being a side experiment.  It is now part of how work gets done. Employees use copilots to write, research, code, and analyze. Product teams are adding AI into customer experiences. Developers are building applications on top of foundation models. Business teams are experimenting with agents that can read email, summarize documents, query data, and trigger workflows.  That is a very different world from the one many AI review processes were designed for.  An AI system can pass a benchmark and still fail in production. It can behave safely in a clean test environment and then encounter real […]

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Shadow AI is no longer a theoretical risk. Employees are adopting AI tools faster than security teams can track them, often without IT’s knowledge, and frequently on devices and surfaces that traditional security tools simply can’t see. If you asked your security team right now how many AI tools are active across your organization, on which surfaces, and what’s being shared, could they answer? For most organizations, the honest answer is no. And that gap, between what your employees are doing with AI and what your security team can actually see, is where enterprise risk lives today.  AI adoption in the enterprise didn’t slow down and wait for governance to catch […]

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The model behind a security workflow shapes how fast a threat is caught, how accurately an incident is investigated, and how much a defender can trust the result. We treat that choice with care. Today we’re taking a clear step forward: Check Point has joined OpenAI’s Daybreak initiative through its Trusted Access for Cyber (TAC) program. These are real steps in how we bring AI into our defensive operations, and in the security we deliver to our customers. What Trusted Access for Cyber Gives Us Trusted Access for Cyber is OpenAI’s program for vetted security organizations that need its most […]

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Key Findings:   Check Point Research identified a critical vulnerability chain in LangGraph, an open-source framework from the creators of LangChain that enables developers to build complex, stateful, and controllable AI agent workflows using LLMs; they have approximately 46.5 million monthly downloads, making it one of the most widely adopted AI agent platforms in the world An SQL injection in LangGraph’s function could allow attackers to gain full control via remote code execution of a server by exploiting weaknesses in how the system processes and handles data. A compromised LangGraph server exposes everything the agent touches, including LLM API keys, customer data, CRM credentials, conversation history, and internal network […]

The post When Your AI Agent’s Memory Becomes a Security Liability appeared first on Check Point Blog.

Enterprise security has always had a comforting assumption baked into it: systems do what they were built to do. Sometimes badly. Sometimes insecurely. Sometimes in ways that make auditors develop a nervous twitch. But still, the basic shape was understandable. Applications processed requests. Databases stored data. APIs connected systems. Users clicked things they probably should not have clicked. Then AI arrived and made the whole thing a little weird. AI did not introduce one neat new risk category. Security teams are very good at turning new risk categories into taxonomies, dashboards, and meetings with names like “working group.” The real […]

The post The AI Defense Plane: Securing the New Enterprise Execution Layer appeared first on Check Point Blog.

When people hear about hackers “asking an AI chatbot” to help them take over Instagram accounts, the instinctive reaction is to file it under prompt injection, jailbreaks, or “the model got tricked.”  That may be the wrong lesson.  According to reporting from 404 Media, hackers claimed they used Meta’s AI support chatbot to gain access to high-profile Instagram accounts by asking it to change the email address associated with the target account. The reported incidents coincided with several high-profile account takeovers, including accounts linked to the Obama White House, Sephora, and the Chief Master Sergeant of the Space Force.    […]

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