
What happened
Check Point CTO Jonathan Zanger said the company uses OpenAI Daybreak to automate vulnerability research, cutting the work from hours to minutes, and is developing an Agentic Network Security Orchestration solution with OpenAI.
Why it matters
Shorter research time means Check Point can turn newly disclosed vulnerabilities into signatures and indicators of compromise for customers faster, easing a workload previously limited by analyst headcount.
WHO IT HITSCheck Point's vulnerability analysts and the security teams of the more than 100,000 organizations it secures stand to get protections against newly disclosed vulnerabilities sooner.
Summaries like this, every morning.
Check Point's prevention-first approach depends on turning information about newly disclosed vulnerabilities into protections quickly. That work has relied on specialized analysts who write security signatures or indicators of compromise, and Zanger notes the team's capacity was previously constrained by how many analysts were available.
Daybreak, which gives defenders access to OpenAI's frontier cyber models, is used to automate more of that investigative work — understanding vulnerabilities, analyzing attack patterns and scanning code for gaps — so analysts get from understanding a threat to developing protections faster. Zanger says Check Point now considers these capabilities mature enough to build into its workflows.
With research compressed to minutes, the company's stated next priority is remediation, and it is working with OpenAI on an Agentic Network Security Orchestration solution that would pair continuous monitoring with human approval for consequential actions. For customers, the aim is to extend faster research toward more autonomous defenses.
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