Safety & Governance
The hard problems: red teaming, bias, interpretability, alignment, and the governance frameworks that might actually matter. No hand-waving.
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Detailed guides and practical technical analysis.
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Recent research, benchmark reviews and technical updates.
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Agent Observability Needs Provenance, Not More Logs
Agent observability is drifting toward a familiar trap: capture every trace, then ask an engineer to work out why the agent did the wrong thing. A June...
Agent Accountability Is Becoming Runtime Infrastructure
Agent accountability is becoming runtime infrastructure: identity, delegated authority, trace logs, approvals and incident reconstruction.
Runtime Policy Enforcement for AI Agents: The Guardrails That Need to Execute
A practical guide to enforcing agent policy at runtime, before tools execute and business actions become incidents.
Consent and Delegation Boundaries for AI Agents
AI agent consent needs runtime boundaries: scoped delegation, renewed approvals, clear identity, and audit-ready logs.
Agent Data Injection Needs Trust Boundaries, Not Prompt Filters
Agent Data Injection argues that attackers can disguise malicious payloads as data the agent treats as trusted metadata, tool output, resource...
Agent Accountability Breaks When the Audit Trail Is Just a Trace
The EU AI Act's Article 12 now says high-risk AI systems must automatically record events across the system lifetime. Microsoft, in parallel, is migrating...
The Accountability Gap When AI Agents Act
When an AI agent causes harm, who pays? Current law can't answer that clearly.
Open Source AI Impact: Who Wins When Models Get Cheap
Open source AI used to be the cheaper substitute. In 2026, that is too small.
AI Safety Compliance for Startups: The Minimum Viable Checklist
The EU AI Act went live. Colorado enforces algorithmic fairness. Enterprise buyers demand AI governance documentation. Here's the minimum viable compliance stack that satisfies current regulations without draining your runway.
Red Teams Found Agents Leak More Than Models
Red teams found agents are far more vulnerable than standalone models. Mixed attack strategies hit 84.3% success rates. Memory poisoning persists across sessions. Every tool is a potential exfiltration path.