The 30 Principles for Agentic Engineering — Part 4: Governance and Safety
Principles 21–25. The governance and safety layer: strictKnownMarketplaces, no goal-conflict prompts, quarterly AppSec, four telemetry signals, monthly incident discipline.
4 posts
Principles 21–25. The governance and safety layer: strictKnownMarketplaces, no goal-conflict prompts, quarterly AppSec, four telemetry signals, monthly incident discipline.
AI-reviews-AI looks like a control. Under MAS, the EU AI Act, and any reasonable audit, it isn't. Here's why your compliance team won't accept it — and the compensating controls that actually work.
I publish Claude Code skills and install other people's. Then Snyk audited 3,984 public ones: 13.4% had critical vulnerabilities, 76 were confirmed malicious, and ClawHavoc is the scarier story underneath. Here's the supply-chain hygiene I now refuse to skip.
The prototype-to-production gap for AI agents isn't technical — it's governance. Most organisations have nothing in this layer. The companies that build it first win the enterprise market. Everyone else stays in pilot purgatory.