AI Red Team Engineering notes, research references, and field notes on AI systems, responsible AI, governance, and compliance.
Global search

Search AI Red Team

Search across the complete knowledge base.

Enter at least two characters to begin.
↑↓ select Enter open Browse the full research archive
OECD.AI Wonk · September 25, 2026

Government agents: define delegated authority, approval and recovery before rollout

news AI ComplianceAgent Security
Why it matters

Members of the OECD working group on agentic AI in government outline how systems that act across public services need explicit delegation, narrow permissions and accountable human decisions. Their examples separate preparing information from submitting applications, changing records or issuing payments. They recommend auditable action histories and ways to stop, correct or reverse actions. This is a working-group perspective and emerging governance agenda, not an adopted legal standard or evidence that the proposed services have delivered benefits.

My takeaway: For each proposed service, document the agent’s authority, permitted actions, approval points and responsible owner. Test revocation, rollback and audit trails before widening access. Start with a bounded public-service problem and assess actual outcomes rather than assuming autonomy improves service quality.
Keep exploring

More curated notes connected through AI Compliance and Agent Security.

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.