← all releases
OpenAI·Jun 22, 2026·Full version of GPT-5.5-Cyber·paid
Daybreak
OpenAI's Daybreak is an advanced AI-driven solution designed to revolutionize cybersecurity by integrating proactive defense mechanisms directly into software development processes. It aims to enhance software resilience from the outset, enabling defenders to identify and address vulnerabilities more effectively.
featured on blogInfrastructureMLTesting
on the blogOpenAI Updates Codex Security Cloud with Daybreak Blue Models 3 min
overview
OpenAI's Daybreak is an advanced AI-driven solution designed to revolutionize cybersecurity by integrating proactive defense mechanisms directly into software development processes. It aims to enhance software resilience from the outset, enabling defenders to identify and address vulnerabilities more effectively.
key features
- 01AI-assisted codebase analysis
- 02Automated vulnerability detection and patching
- 03Integration with existing security workflows
- 04Collaboration with open-source projects
- 05Support for critical infrastructure protection
related productsbrowse all →
SkyRL txopen sourceSkyRL tx is an open-source library that implements a backend for the Tinker API, enabling users to set up their own Tinker-like services on personal hardware. It supports end-to-end reinforcement learning (RL) and offers significantly faster sampling. The library is designed to be modular, allowing easy prototyping of new training algorithms, environments, and execution plans without compromising usability or speed.Step-Audio-R1open sourceStep-Audio-R1 is an advanced audio language model developed by StepFun AI, designed to enhance audio reasoning capabilities by grounding its reasoning in acoustic features. It introduces Modality-Grounded Reasoning Distillation (MGRD), an iterative training framework that shifts the model's reasoning from textual abstractions to acoustic properties, effectively addressing the 'inverted scaling' problem where performance degrades with longer reasoning. This model has demonstrated superior performance across various audio understanding and reasoning benchmarks, surpassing models like Gemini 2.5 Pro and achieving results comparable to Gemini 3 Pro.SINQopen sourceSINQ (Sinkhorn-Normalized Quantization) is a novel, fast, and high-quality quantization method designed to make any Large Language Model (LLM) smaller while preserving accuracy. It offers a plug-and-play, model-agnostic technique that delivers state-of-the-art performance for LLMs without sacrificing accuracy.