Blog Checkpoint

Hybrid SASE is not a label – it is an architectural commitment. Many enterprises pay twice for SASE: once for the platform, and again for the overhead of integrating and managing components never designed to work as one architecture. Check Point’s Hybrid SASE takes a different path: a single operating model that unifies access and policy. That distinction decides whether traf...

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 sam...

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 s...

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 f...

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...