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Reading the Signals in the OWASP LLM Top 10 2026 - Check Point Blog Ransomware Didn't Slow Down in Q2 2026. It Just Spread Out. - Check Point Blog July 2026 Cyber Threats Surge: Ransomware Attacks Double Year over Year as GenAI Data Exposure Widens - Check Point Blog State Sponsored Hackers Use Fake Job Offers to Deliver New Zero Day Exploit - Check Point Blog Lazarus Hackers Exploit Windows Zero-Day in Fake Job Scam Native AI Security Comes to Claude: Why Anthropic's Inference Hooks Matter - Check Point Blog Claude AI Security: How Anthropic Inference Hooks Enable Real-Time Protection The Top Exposure Management Questions Security Leaders Ask (Part 1) - Check Point Blog Black Hat 2026: Check Point Research Takes the Stage - Check Point Blog Check Point Joins the Open Secure AI Alliance to Advance Open, Measurable and Enterprise-Ready AI Security - Check Point Blog Three AI security disclosures, fourteen days: what the warnings signs are telling us - Check Point Blog When Data Becomes Instructions: AI Agents Need a Chain of Custody for Context - Check Point Blog Your VLAN Isn’t an Air Gap: Six Hard Truths From the New CI Fortify Guidance - Check Point Blog Check Point Named a Visionary Leader in the 2026 Frost Radar™ for Enterprise Risk Mitigation and Management Platforms - Check Point Blog AI Escaped a Sandbox. That is Not What Should Worry You - Check Point Blog Introducing the Industry's First AI Network Firewall - Check Point Blog Attackers Are Turning Microsoft's Trusted Login System Into Their Latest Phishing Weapon - Check Point Blog AI Agent Security Just Had Its Catalyst Moment - Check Point Blog Your AI Governance Policy Should Survive Your Next Model Change - Check Point Blog The Branding and Attribution Behind Cybercrime - Check Point Blog Which Brands Are Impersonated Most? Inside the Q2 2026 Brand Phishing Report - Check Point Blog Security Advisory - Action Required - July 2026 Security Update - Check Point Blog What the 2026 Exposure Gap Report Reveals About Remediation - Check Point Blog Inline Email Security and Microsoft 365: A Practical View of Mail Routing, Risk, and Prevention - Check Point Blog The State of Hybrid SASE: Built-In vs. Bolted-On - Check Point Blog AI Appreciation Day: Let's Be Honest About What We're Appreciating - Check Point Blog AI Security Is Never Finished: Building the Continuous Red Teaming Loop  - Check Point Blog AI Security Threats in 2026: Annual Insights from Check Point Research - Check Point Blog AI Agents are Only As Effective as Their Harness - Check Point Blog Email Agent Hijacking: The Hidden Threat That Breaks Post-Delivery Security - Check Point Blog How Check Point Email Security Stopped a Student Job Scam Before It Reached the Inbox - Check Point Blog Redefining the CISO Contract: From Securing the Business to Securely Doing Business - Check Point Blog
OpenAI Frontier AI Models Powering Check Point's Leading ...
By Roi Karo, Chief Strategy Officer · 2026-06-23 · via Check Point Blog

Check Point already leverages AI, machine learning and other advanced technologies in our security products that more than 100,000 customers rely on every day.  

Through our strategic partnership with OpenAI, and participation in their Daybreak Cyber Partner Program, we are now able to embed the most advanced, powerful, and security-focused AI engines, OpenAI cyber models, into our defensive workflows, product features, and services to deliver the ultimate protection to our customers. This means sharper prevention, faster remediation, and stronger security operations for our customers.  

Why This Is Substantial 

What matters here is what this access actually unlocks for our customers: a safe way to put frontier-grade AI to work inside products customers already trust and rely on. This comes with real guardrails: clear rules on what the model can be used for, monitoring built in to catch misuse, and results that stick to specific, well-defined tasks rather than open-ended answers. 

 Where This Shows Up: Strengthening What’s Already Live 

We expect this to reach many of our products over time. We’re starting by exploring two: 

  • Agentic Network Security Orchestration – already live today, turning business intent into policy and helping teams move off manual rule management. The agentic orchestration platform has always carried a bigger vision for how network security gets managed, and this is another step in turning that vision into reality. We’re now exploring how OpenAI frontier cyber models can sharpen the orchestration layer further, from intent-to-policy translation to configuration validation and rule-based cleanup. 
  • CTEM Agentic Exposure Validation (AEV) – inside our Continuous Threat Exposure Management platform, AI already helps teams move past static, severity-ranked vulnerability lists toward a clearer picture of what’s actually exploitable. We’re looking into using frontier cyber models to make that validation faster and sharper, supporting outputs like exposure summaries, prioritization, and remediation drafting. 

Built to Move Carefully, On Purpose 

What makes this moment significant isn’t just the capability; it’s that Check Point and OpenAI are building the rulebook together. Jointly, we’re codifying the standards for how frontier AI gets deployed responsibly in cybersecurity: what safety looks like in practice, how abuse gets prevented, and what controls are needed to keep everything on the right side of the line. That’s not something most vendors get to be part of. It means the work we’re doing here doesn’t just benefit our customers; it helps shape what responsible AI in security looks like across the industry. We’re approaching this with much rigor. As partners and two market leaders, Check Point and OpenAI are working together to help define and create the correct safety standards, abuse prevention, and controls to catch anything unsanctioned. We’re starting with backend automation and managed services, and expanding as those safeguards prove out. 

Putting the most advanced AI to work for defenders, at scale and in production, is what it means to lead in AI-powered security: not just adopting new technology, but helping shape how it gets built and deployed responsibly across the industry. 

It’s consistent with how we think about AI across our platform. Our mission is to secure your AI transformation, and that means defining the controls and standards as the AI technology underneath gets more capable. 

What’s Next 

I’m genuinely excited about this. Not because of the headline, but because of what it means day to day: the products our customers already depend on are about to get sharper, faster, and more capable, without asking them to change how they work or trust something unproven. That’s the kind of progress I want to be building. 

This is one step in a much bigger journey. The same frontier AI sharpening exposure validation and network orchestration today could, over time, reach into nearly every layer of how we defend our customers, catching what used to slip through, responding before a human even sees the alert, turning security from something reactive into something genuinely ahead of the threat. That’s the future we’re building toward, and I’ll keep sharing what we learn as we get closer to it. 

To learn more about check Point participation in OpenAI Daybreak Cyber Partner Program, read the press release