By Jonathan Zanger, Chief Technology Officer
Three months ago, Check Point and OpenAI began expanding our work together through Daybreak, OpenAI’s cyber defense initiative. Since then, we have taken the partnership further, bringing OpenAI’s frontier cyber models into Check Point products and security workflows through the Daybreak Defense Network. And last week, we joined more than a hundred technology and security companies in backing OpenAI’s call for a collective, global surge in cyber defense.
Each moved us forward, but the work doesn’t stop there. Security must continuously adapt as new threats and attacker capabilities emerge, the software and technology stacks we protect evolve, and organizations find new ways to put AI to work. As attackers move faster and operate with greater scale and sophistication, defenders need to take advantage of the same advances in AI. That’s the core of our collaboration with OpenAI: putting frontier AI to work to help defenders stay ahead.
Putting Frontier AI to Work Across Cyber Defense
We are working with OpenAI to help organizations stay ahead of increasingly sophisticated attacks. By incorporating OpenAI Daybreak models into the Check Point security platform, we can build, test and continuously strengthen security – while bringing those capabilities directly into the security workflows customers already rely on.
Customers can benefit from the use of frontier AI models across the security lifecycle.
OpenAI’s frontier cyber reasoning is becoming part of how we discover risk, validate what is actually exploitable, accelerate protection, investigate threats and secure customer environments. Combined with Check Point’s security intelligence, context and enforcement, this helps customers move from large volumes of security information to validated risk, actionable decisions and faster protection.
How Check Point Customers Will Benefit
Agentic Exposure Validation (Exposure Management): Effective exposure management means going beyond identifying potential risk to proving what attackers can exploit and preventing them from doing so. Our multi-agent pipeline separates real, exploitable risk from theoretical findings. We’re now piloting OpenAI’s frontier cyber models within that system, combining their advanced reasoning with Check Point’s security context, controls and evidence to validate attack paths, prioritize proven risk and accelerate remediation.
Keystone (Agentic Security Management): Check Point is reinventing network security with an autonomous, intent-driven approach to security management. Instead of manually managing policies and configurations, customers define their security intent while AI continuously understands the environment, identifies risk and determines how controls should adapt. We’re bringing OpenAI’s frontier cyber reasoning into this process to help investigate potential attack paths, understand vulnerabilities and risky exposures, and identify the appropriate remediation.
Autonomous Workspace Platform: Our investigation pipeline correlates email, endpoint, mobile and browser telemetry into a smaller set of investigated, high-confidence incidents instead of a raw alert queue. We’re applying OpenAI’s advanced cyber reasoning to investigate complex threats across malware behavior, attacker techniques and credential-abuse chains. This is helping to deliver clearer verdicts and severity and remediation guidance, while reducing the burden on security teams.
NexPloit: NexPloit transforms vulnerability information into verified attack material that can drive automated protection development, without relying on publicly available exploit code. We’re leveraging OpenAI’s frontier cyber models to accelerate critical stages of that research: understanding vulnerable code and patches, identifying realistic exploitation paths, and reaching verified results faster. For customers, that means faster protection against newly disclosed vulnerabilities.
Through OpenAI Daybreak Defense Network, we are putting frontier AI to work across the security lifecycle to helping customers identify proven risk, act faster, automate more of their security operations, and ultimately prevent more attacks.
From Frontier Capability to Trusted Security
We’re taking a phased approach to these launches. Some capabilities are running in production today, others are in development and being tested with design partners, and more will follow as the technology advances. What ties them together is the same discipline in every case: govern what the model can see, constrain what it can act on, test and verify what it produces, and only then allow it to take on more of the work within approved security workflows.
As frontier models become more capable, our goal is to translate those advances into security outcomes customers can trust. This allows us to continuously expand what AI can do while maintaining the controls required for enterprise security.
Why This Matters
Our work with OpenAI operates in two dimensions: we use frontier AI to strengthen how we defend our customers, and we help customers adopt and use OpenAI technologies securely. As AI moves from answering questions to writing code, operating enterprise agents and taking actions, both sides of that relationship become increasingly important.
Security must keep pace. Threat actors are gaining new capabilities, the technology environments we protect continue to evolve, and our customers are finding new ways to put AI to work. For Check Point, that means continuously leveraging advances in AI to improve prevention, accelerate security operations and enable security systems to take on more of the complexity themselves.
Our goal is to give organizations the confidence to embrace what AI makes possible while staying protected against evolving risks. Through our work with OpenAI, we’re putting frontier AI to work for defenders and helping our customers put it to work securely.
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This entry was posted on September 4, 2026 at 8:34 am and is filed under Commentary with tags Check Point. You can follow any responses to this entry through the RSS 2.0 feed.
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Guest Post: Check Point Brings OpenAI Daybreak Models Across Its Security Platform to Help Defenders Find, Validate, and Remediate Risk
By Jonathan Zanger, Chief Technology Officer
Three months ago, Check Point and OpenAI began expanding our work together through Daybreak, OpenAI’s cyber defense initiative. Since then, we have taken the partnership further, bringing OpenAI’s frontier cyber models into Check Point products and security workflows through the Daybreak Defense Network. And last week, we joined more than a hundred technology and security companies in backing OpenAI’s call for a collective, global surge in cyber defense.
Each moved us forward, but the work doesn’t stop there. Security must continuously adapt as new threats and attacker capabilities emerge, the software and technology stacks we protect evolve, and organizations find new ways to put AI to work. As attackers move faster and operate with greater scale and sophistication, defenders need to take advantage of the same advances in AI. That’s the core of our collaboration with OpenAI: putting frontier AI to work to help defenders stay ahead.
Putting Frontier AI to Work Across Cyber Defense
We are working with OpenAI to help organizations stay ahead of increasingly sophisticated attacks. By incorporating OpenAI Daybreak models into the Check Point security platform, we can build, test and continuously strengthen security – while bringing those capabilities directly into the security workflows customers already rely on.
Customers can benefit from the use of frontier AI models across the security lifecycle.
OpenAI’s frontier cyber reasoning is becoming part of how we discover risk, validate what is actually exploitable, accelerate protection, investigate threats and secure customer environments. Combined with Check Point’s security intelligence, context and enforcement, this helps customers move from large volumes of security information to validated risk, actionable decisions and faster protection.
How Check Point Customers Will Benefit
Agentic Exposure Validation (Exposure Management): Effective exposure management means going beyond identifying potential risk to proving what attackers can exploit and preventing them from doing so. Our multi-agent pipeline separates real, exploitable risk from theoretical findings. We’re now piloting OpenAI’s frontier cyber models within that system, combining their advanced reasoning with Check Point’s security context, controls and evidence to validate attack paths, prioritize proven risk and accelerate remediation.
Keystone (Agentic Security Management): Check Point is reinventing network security with an autonomous, intent-driven approach to security management. Instead of manually managing policies and configurations, customers define their security intent while AI continuously understands the environment, identifies risk and determines how controls should adapt. We’re bringing OpenAI’s frontier cyber reasoning into this process to help investigate potential attack paths, understand vulnerabilities and risky exposures, and identify the appropriate remediation.
Autonomous Workspace Platform: Our investigation pipeline correlates email, endpoint, mobile and browser telemetry into a smaller set of investigated, high-confidence incidents instead of a raw alert queue. We’re applying OpenAI’s advanced cyber reasoning to investigate complex threats across malware behavior, attacker techniques and credential-abuse chains. This is helping to deliver clearer verdicts and severity and remediation guidance, while reducing the burden on security teams.
NexPloit: NexPloit transforms vulnerability information into verified attack material that can drive automated protection development, without relying on publicly available exploit code. We’re leveraging OpenAI’s frontier cyber models to accelerate critical stages of that research: understanding vulnerable code and patches, identifying realistic exploitation paths, and reaching verified results faster. For customers, that means faster protection against newly disclosed vulnerabilities.
Through OpenAI Daybreak Defense Network, we are putting frontier AI to work across the security lifecycle to helping customers identify proven risk, act faster, automate more of their security operations, and ultimately prevent more attacks.
From Frontier Capability to Trusted Security
We’re taking a phased approach to these launches. Some capabilities are running in production today, others are in development and being tested with design partners, and more will follow as the technology advances. What ties them together is the same discipline in every case: govern what the model can see, constrain what it can act on, test and verify what it produces, and only then allow it to take on more of the work within approved security workflows.
As frontier models become more capable, our goal is to translate those advances into security outcomes customers can trust. This allows us to continuously expand what AI can do while maintaining the controls required for enterprise security.
Why This Matters
Our work with OpenAI operates in two dimensions: we use frontier AI to strengthen how we defend our customers, and we help customers adopt and use OpenAI technologies securely. As AI moves from answering questions to writing code, operating enterprise agents and taking actions, both sides of that relationship become increasingly important.
Security must keep pace. Threat actors are gaining new capabilities, the technology environments we protect continue to evolve, and our customers are finding new ways to put AI to work. For Check Point, that means continuously leveraging advances in AI to improve prevention, accelerate security operations and enable security systems to take on more of the complexity themselves.
Our goal is to give organizations the confidence to embrace what AI makes possible while staying protected against evolving risks. Through our work with OpenAI, we’re putting frontier AI to work for defenders and helping our customers put it to work securely.
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This entry was posted on September 4, 2026 at 8:34 am and is filed under Commentary with tags Check Point. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.