OpenAI CISO recommends Codex for security

// 1h agoNEWS

OpenAI CISO recommends Codex for security

In a recent social media post, OpenAI CISO Dane Stuckey highlighted the exceptional power of OpenAI Codex for cybersecurity work. He urged security defenders to register for OpenAI's Trusted Access program, which aims to provide vetted cybersecurity professionals with access to specialized, cyber-permissive versions of OpenAI's models to facilitate tasks such as threat modeling and vulnerability remediation without standard safety-filter restrictions.

// ANALYSIS

As AI coding models transition from simple code assistants to autonomous agentic runtimes, verifying the identity and intent of users is becoming the primary defense against the misuse of dual-use models.

* Stuckey's endorsement signals that frontier models are ready to be integrated into core defensive workflows.

* Programs like Trusted Access represent OpenAI's strategy to reduce false-positive model refusals for legitimate security research.

* The active use of AI for security research necessitates strict safeguards, including sandboxed code execution and phishing-resistant hardware authentication.

// TAGS

cybersecurityopenaicodexsafetythreat-modelingsecurity-operations

DISCOVERED

1h ago

2026-06-13

PUBLISHED

2h ago

2026-06-13

RELEVANCE

8/ 10

AUTHOR

pueblokc

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

OPEN SOURCE33m ago

Vercel Labs' open-source AI browser automation tool, agent-browser, has reached one million weekly downloads on npm, with developer Chris Tate sharing insights on optimizing startup performance.

Chris Tate announced that Vercel Labs' agent-browser, an open-source headless browser automation tool tailored for AI agents, has reached 1,000,000 weekly downloads on npm. Tate noted that a temporary download dip lined up with a transition from running via `npx` to a global install command (`npm i -g`). Implementing a global installation path reduced the tool's startup time to approximately 1 millisecond, which is crucial for low-latency agentic workflows.

MODEL45m ago

Anthropic has launched Claude Fable 5, its latest flagship AI model featuring a 1 million token context window designed for complex agentic workflows and software engineering tasks.

Anthropic has introduced Claude Fable 5, a new flagship AI model optimized for long-running, goal-directed agentic workflows and software engineering tasks. The model boasts a 1 million token context window and is equipped with hard guardrails that fallback to Opus 4.8 for sensitive queries, although access has recently been suspended globally due to U.S. government export control directives.

OPEN SOURCE58m ago

CUA-Gym automates the generation of verifiable reinforcement learning training environments and datasets for computer-use agents to bypass the training data bottleneck.

CUA-Gym is an open-source pipeline and dataset developed by XLang AI to scale Reinforcement Learning with Verifiable Rewards (RLVR) for Computer-Use Agents (CUAs). It addresses the training data bottleneck by co-generating task instructions, environment states, and Python reward functions using a multi-agent Generator-Discriminator-Orchestrator architecture. The framework is paired with CUA-Gym-Hub, which hosts 98 high-fidelity, self-contained mock web applications designed with state injection and session isolation. This setup allows parallel RL training sessions on shared backends without resource interference, producing over 32,000 verified RLVR training tuples that significantly improve CUA performance on benchmarks like OSWorld and WebArena.