Header image: EU Commission Building Brussels by Satu Katja, CC BY-SA 4.0, via Wikimedia Commons — cropped to 16:9 and colour-adjusted.
Key takeaways
- GaC converts EU AI Act’s legal standards into machine-checkable pipelines
- Rego policies via Open Policy Agent create auditable, timestamped logs
- Compliance-as-code creates competitive advantage in generative AI development
That’s when the EU AI Act’s high-risk provisions take effect—risk management, data governance, recordkeeping, human oversight. Governance-as-Code (GaC) promises to translate these open-ended legal standards into auditable, machine-checkable pipelines.
The EU AI Act’s Glaring Technical Gaps
The Act’s requirements sound straightforward: implement risk management, ensure data governance, maintain records, provide human oversight.
Lessons from a Decade of "As-Code"
Infrastructure as code (IaC) emerged a decade ago, replacing manual server configurations with version-controlled, automated pipelines. Teams defined infrastructure states in code, stored them in version control, and enforced them continuously.
Instead of manually configuring compliance rules, teams express them in machine-readable languages like Rego (via Open Policy Agent) and deploy them at the agent’s tool-calling layer. Every decision—whether an action is allowed or denied—generates a structured, timestamped log entry, fulfilling Article 12’s recordkeeping requirements.
The Seven Technical Gaps GaC Targets
Turning Legal Text into Executable Code
Every decision, whether allowed or denied, gets logged with timestamps, providing the documentation Article 12 requires.