Accelerating Vulnerability Research
Check Point has integrated OpenAI Daybreak into its operations to significantly speed up the research process that transforms vulnerability intelligence into customer protections. According to Jonathan Zanger, CTO of Check Point, tasks that previously took hours can now be completed in mere minutes thanks to Daybreak’s advanced models.
Faster Analysis and Protection Development
Check Point Research focuses on investigating newly disclosed vulnerabilities and converting those findings into actionable signatures and indicators of compromise used across its security products. Zanger noted that OpenAI Daybreak equips the company with models capable of analyzing vulnerabilities, reasoning through attack paths, and scanning code and configurations to identify security gaps. This capability effectively shortens the timeline from vulnerability discovery to the implementation of defenses.
Enhancing Automation in Security Workflows
By automating parts of the investigative workflow with Daybreak, Check Point aims to enhance the productivity of its expert analysts and accelerate the development of protective measures for its customers. The integration of Daybreak into their processes is expected to increase throughput and efficiency.
Agentic Network Security Orchestration
In addition to vulnerability research, Check Point is collaborating with OpenAI to develop an Agentic Network Security Orchestration solution utilizing Daybreak. This approach combines continuous monitoring of customer environments with clearly defined operational boundaries and requires human approval for significant actions. Customers will be able to set their security objectives, while the system will provide explanations of its findings, recommended actions, and associated risks, allowing for informed decision-making.
Focus on Remediation
With the time required for vulnerability research now reduced, Check Point has identified remediation as its next priority. The company plans to leverage Daybreak’s capabilities to facilitate the process for security teams in addressing the gaps identified by the models. Zanger emphasized that the combination of Daybreak with existing workflows unlocks a level of automation that can prevent threats in real time, highlighting the potential of these integrated tools.
Advancing Towards Autonomous Security
Check Point’s goal is to utilize Daybreak to expedite the conversion of vulnerability intelligence into customer defenses while progressing towards a more autonomous orchestration model that maintains human oversight over critical decisions.
Original source: OpenAI News