Deploying AI agents in production? This series is about the engineering of AI governance: the technical controls, runtime guardrails, and audit infrastructure that turn policy into something you can actually ship. Sandboxing, policy-as-code, agent-native telemetry, least-privilege identity, all with real code examples using Microsoft’s open-source Agent Governance Toolkit, honest gap analysis, and no vendor spin.

The EU AI Act is the regulatory backbone, and its high-risk obligations and Article 50 transparency rules become enforceable on August 2, 2026. But the through-line here is broader: governance you can deploy, in Europe and beyond. Policies are not controls. This series is about the controls.

Written by Carlos Hernandez, founder of GenAI Gurus, Europe’s GenAI practitioner community, and a contributor to the Microsoft Agent Governance Toolkit. For a curated index of EU AI Act tools, official sources, and templates, see Awesome EU AI Act.

The Series

# Post Status
1 EU AI Act for AI Agent Developers: A Practical Compliance Checklist Published
2 How to Run Coding Agents Safely in the Enterprise Published
3 From NIM to Jetson: A NeMo Guardrails Configuration Pack for Production Inference Coming soon
4 Open Weights, Real Obligations: Governing GPAI Models You Deploy but Didn’t Train Coming soon
5 Sovereign AI Infrastructure: Governance Patterns for On-Prem and European Cloud Coming soon
6 The Contributor Journey: Building an Open-Source Agent Governance Layer Coming soon
7 Governing Agents That Touch the Physical World: Runtime Controls for Embodied AI Coming soon

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