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OpenAI News · April 30, 2026

Introducing Advanced Account Security

news Agent SecurityAI EngineeringAI Compliance
Why it matters

OpenAI's opt-in Advanced Account Security applies to ChatGPT and Codex. It replaces password login with passkeys or FIDO security keys, disables email and SMS recovery, shortens sessions, adds login alerts and session management, and automatically excludes conversations from model training. The stronger recovery model also means support cannot restore access for an enrolled user.

My takeaway: Use phishing-resistant authentication for accounts that can reach sensitive conversations, code, tools, or trusted cyber capability, but prepare recovery before enabling it. Register independent backup authenticators, store recovery keys offline, inventory active sessions, and document offboarding so stronger login controls do not create an unrecoverable operational dependency.
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OpenAI News · framework

Pacing model development in an era of cyber-critical capabilities

OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.

OpenAI News · framework

A blueprint for democratic governance of frontier AI

OpenAI proposes a three-part U.S. frontier-AI governance model: harmonize emerging state safety laws into a federal baseline, strengthen CAISI as an evaluation and standards institution, and coordinate a broader resilience program. Proposed controls include severe-risk evaluations, transparency reports, independent audits, safety-incident reporting, model-weight security, whistleblower protection, and periodic technical assessments.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.