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ReliaQuest and OpenAI Partner to Accelerate Agentic Cyber Defense for the Enterprise

ReliaQuest

ReliaQuest, a global pioneer in agentic artificial intelligence cybersecurity, has announced a strategic partnership with OpenAI by joining the OpenAI Daybreak Cyber Partner Program to accelerate the development of advanced AI-driven defenses for enterprise organizations. This collaborative initiative grants ReliaQuest direct technical access to OpenAI’s frontier cyber models, which will be integrated natively into its core GreyMatter security operations platform to rapidly identify, investigate, and patch systemic software vulnerabilities. As a result, ReliaQuest will share its profound frontline security knowledge, real-world threat intelligence, and the behaviors that have been observed by attackers in enterprise environments to assist with creating industry safety guidelines, abuse prevention standards, and administrative controls specific to AI applications.

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This platform extension More exactly deals with a major macroeconomic shift that has seen cybercriminals resorting more and more to automatic AI tools to multiply, quicken, and conceal complicated digital breaches; such attacks Because of this Really reduces the reaction and correction windows that corporate defense teams possess. Highlighting the necessity of collaborative technology ecosystems to neutralize these rapidly evolving, automated vectors, Brian Murphy, founder and CEO of ReliaQuest, stated: “Cybersecurity is being reshaped by AI on both sides. The more we can collaborate, the better we can defend against AI-driven attacks. This partnership with OpenAI helps us move faster in bringing the most advanced Agentic AI capabilities into GreyMatter, so security teams can investigate and respond to threats in minutes.” By deploying multiple autonomous agentic systems and natural language orchestration layers over existing enterprise IT stacks, this joint infrastructure rollout effectively equips enterprise defenders to counteract automated threat streams in real time.

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