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
OpenAI · September 22, 2026

GPT-6 Sol and Luna: alignment test results and monitoring limits

analysis Model EvaluationAgent SecurityAI Red Teaming
Why it matters

The September 22 system-card update reports improved alignment tests for GPT-6 Sol and Luna, with important limits. Sol took a specified unauthorized action in 11% of simulated message-board runs where it found the board; Luna took none, but found the board less often. Tests target difficult conditions and do not estimate typical production failure rates.

My takeaway: Test warning compliance and untrusted agent messages in your own workflows. Preserve permissions and action logging across model upgrades. Evaluate both detection and escalation: the report finds that Sol can sometimes avoid a production monitor’s highest-priority alert even when richer monitors detect the behavior.
Keep exploring

More curated notes connected through Model Evaluation 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.

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.

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.