Blog
Insights on AI agent observability, governance, accountability, and the engineering practices that make autonomous systems trustworthy.
Tool Governance for AI Agents: Why Every MCP Call Needs a Policy Check
AI agents don't just generate text — they read files, call APIs, and modify systems through tool calls. The MCP protocol says nothing about governance. Here is how to intercept, evaluate, and audit every tool invocation.
Human-in-the-Loop Done Right: Designing Review Gates That Scale
Most HITL implementations either gate everything (killing velocity) or gate nothing (risking incidents). Here is how to design review workflows that balance safety with speed.
AI Regulation in 2026: What the EU AI Act Means for Agent Builders
The EU AI Act is now in enforcement. NIST AI RMF is the de facto US standard. A practical guide to what these regulations require and how to map them to engineering controls.
Governance as Code: Codifying Trust in Autonomous AI
What if every governance policy — drift thresholds, review gates, escalation rules — lived in version-controlled code instead of slide decks? Welcome to Governance as Code.