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Adversa AI Trusted AI Blog · June 3, 2026

The AI risk quadrant for agents: scoring 100 digital workers nobody secured

framework Agent SecurityAI Red TeamingAI Compliance
Why it matters

Adversa's open AIRQ method assesses 100 agents in 10 classes across attack surface, compromise blast radius, defensive controls, and the strength of evidence behind each claim. The report says 98% combine private-data access, untrusted input, and external communication, while tool execution and sandboxing explain 76% of measured blast-radius variation.

My takeaway: Reuse the factor lists for agent inventory, threat modeling, red-team scope, and procurement, but validate the weights and vendor-specific evidence independently. Score both the vendor default and your configured deployment, require source or test evidence for claimed controls, prioritize tool authority and containment, and reassess whenever connectors, permissions, or defaults change.
Keep exploring

More curated notes connected through Agent Security and AI Red Teaming.

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.

OpenAI News · framework

OpenAI’s Frontier Governance Framework

OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.