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 […]

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