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Tech Journal Now > AI > OpenAI introduces Daybreak cyber platform, takes on Anthropic Mythos – Computerworld
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OpenAI introduces Daybreak cyber platform, takes on Anthropic Mythos – Computerworld

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Last updated: May 12, 2026 1:13 pm
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Announcing the initiative on X, Sam Altman, CEO at OpenAI, said, “OpenAI is launching Daybreak, our effort to accelerate cyber defense and continuously secure software. AI is already good and about to get super good at cybersecurity; we’d like to start working with as many companies as possible now to help them continuously secure themselves.”

Daybreak takes on Mythos

The surge in AI-driven cyber threats has recently shifted the AI race toward AI cybersecurity models. In April this year, Anthropic unveiled Project Glasswing, built around Claude Mythos Preview. Anthropic described it as a cybersecurity-focused AI system capable of autonomously identifying software vulnerabilities at scale.

While introducing Daybreak, OpenAI explained that deploying AI in modern cyber defense involves three core stages. The first is prioritizing high-impact threats and reducing hours of security analysis to minutes through more efficient AI reasoning and token usage. The second involves generating and testing patches directly within enterprise repositories using scoped access, monitoring, and review. The final stage focuses on sending results and audit-ready evidence back into enterprise systems to track, validate, and verify remediation efforts.

In Daybreak, Codex security is designed to identify and fix vulnerabilities by building an editable threat model from the enterprise’s repository and focusing analysis on realistic attack paths and high-impact code. The system would then validate likely vulnerabilities in an isolated environment. This would help teams to prioritise real, reproducible issues over noisy alerts. This will be followed by automated detection and response, where AI will be able to spot higher-risk vulnerabilities and enable end-to-end automated monitoring.

Read the full article here

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