- OpenAI has presented Daybreak, its latest security project
- It seeks to rival Anthropic’s Mythos in detecting and patching high severity vulnerabilities.
- Daybreak will also help companies build software more securely from the start
OpenAI has unveiled Daybreak, its answer to Anthropic’s Mythos and Project Glasswing, sparking a potential cybersecurity arms race between the two companies.
“Daybreak combines the intelligence of OpenAI models, the extensibility of Codex as an agent harness, and our partners across the security wheel to help make the world safer for everyone,” the announcement said.
The project seeks to work with OpenAI’s government and industry partners by securing the software from the beginning of the development process, creating a stronger foundation that, over time, will increase the effectiveness of cyber defense.
Daybreak to safely build software from scratch
In the blog post, OpenAI summarizes the project in a single sentence: “The goal is simple: accelerate cyber defenders and continuously protect software.”
Daybreak will allow organizations to apply OpenAI’s Codex Security to their own repository using an “agent harness”, where it will search, analyze and patch attack paths and high-impact code.
High-priority vulnerabilities can be analyzed and validated in a secure, isolated environment, “so teams can prioritize real, reproducible issues over noisy alerts.” Codex Security will also enable teams to automate detection and response, increasing efficiency and securing critical vulnerabilities faster.
Therefore, Daybreak seeks to delegate the memory work of identification and analysis to AI, and return evidence-backed vulnerability results to human teams. Where Daybreak differs in its approach compared to Mythos is in building software securely from the beginning and constantly monitoring for vulnerabilities, compared to Mythos’ approach of detecting and mitigating high severity vulnerabilities at scale.
Daybreak includes three models; GPT-5.5, as default for general purpose work; GPT-5.5 with Trusted Access for Cyber, to be used in defensive security workflows; and GPT-5.5-Cyber, for specialized workflows including red teaming and penetration testing.
Dane Knecht, CTO at Cloudflare, said: “We’re excited about the potential for OpenAI’s cyber capabilities to bring stronger reasoning and more agentic execution to security workflows. It’s a big step forward for teams to be able to leverage edge models to not only accelerate speed, but also improve their security posture.”
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