Check Point Cuts Vulnerability Research From Hours to Minutes With OpenAI Daybreak
Check Point says its vulnerability research workflow now takes minutes instead of hours after adopting OpenAI Daybreak. According to Jonathan Zanger, the company's CTO, the tool is part of the OpenAI Daybreak Defense Network and helps analysts move faster from understanding a threat to building a defense.
- Check Point says OpenAI Daybreak cut its vulnerability research from hours to minutes, according to CTO Jonathan Zanger.
- Daybreak provides defenders with OpenAI frontier cyber models that analyze vulnerabilities, reason through attack paths and find gaps in code and configurations.
- Check Point is developing its Agentic Network Security Orchestration solution with OpenAI using Daybreak.
- The planned approach keeps human approval for consequential actions and lets customers set security objectives.
- Remediation is Check Point's next priority.
From hours to minutes in vulnerability research
Check Point secures over 100,000 organizations through its AI, workspace, cloud, and network security products, according to OpenAI's account. Its research arm, Check Point Research, investigates emerging vulnerabilities and turns the findings into protections for customers.
That work has relied on expert analysts who study a vulnerability and translate what they learn into security signatures or indicators of compromise, which the company's systems use to recognize threats. The source says this requires specialized expertise and that the team's capacity was previously limited by the number of analysts available.
Check Point now uses OpenAI Daybreak to automate more of that process. "We leverage Daybreak to speed up and automate this process, and we can now do it in minutes instead of hours," Zanger says. The timing claim comes from Check Point's CTO as reported by OpenAI.
What Daybreak does for defenders
Daybreak gives defenders access to OpenAI's frontier cyber models. According to the source, these models can analyze vulnerabilities, reason through attack paths, and identify security gaps in code and configurations.
Zanger describes the value in terms of that reasoning ability: "OpenAI Daybreak can understand vulnerabilities, analyze different attack patterns and scan the code to identify gaps." He also points to progress in understanding complex code and configurations and in identifying how systems could be exposed to attack. Check Point now considers these capabilities mature enough to build into its cybersecurity workflows.
In vulnerability research, Daybreak supports the investigative work that feeds into a signature or indicator of compromise. The result, according to the source, is a faster path for analysts from understanding a threat to developing protections.
Toward autonomous network security
Check Point is also working with OpenAI to develop its Agentic Network Security Orchestration solution using Daybreak. The approach Zanger describes would combine continuous monitoring of customer environments with clearly defined operating boundaries and human approval for consequential actions.
Under that model, customers would set their security objectives. The system would then explain its findings, recommended actions, and associated risks so customers could decide how to proceed.
With research now taking minutes, Check Point's next priority is remediation. The company is looking to use Daybreak's capabilities to make it easier for its security teams to address the gaps they identify.
What it means for customers
For Check Point customers, the source says faster research supports the development of protections against newly discovered vulnerabilities. Zanger frames the broader goal as keeping pace with threats that are growing in number and sophistication: "When a new vulnerability emerges, our job is to make sure our customers are protected against it as fast as possible."
Check Point aims to extend this progress toward more autonomous defenses, with customers setting objectives and approving consequential actions. The autonomous network security work is still in development, and the source gives no timeline for it.
