Policy As Code

Policy as code is the practice of encoding governance rules, compliance requirements, and operational policies into machine-readable formats that can be automatically enforced and audited across systems. This approach enables organizations to treat policies with the same rigor as software development, allowing for version control, testing, and consistent implementation across infrastructure and AI systems. For enterprise AI governance, policy as code is critical because it reduces human error in compliance monitoring, accelerates policy deployment, and creates an auditable trail showing exactly how governance decisions are applied to AI models and data pipelines.

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Corporate PolicyGlobal2026-08-19

NHIMG: Agentic AI Governance Must Shift to Action-Level Runtime Controls

The Non-Human Identity Management Group has published practitioner guidance arguing that AI agent governance must move beyond deployment approvals to focus on what agents can do at runtime. The guidance recommends session-scoped entitlements, policy-as-code enforcement, and full-session-chain logging as the core control triad. Without these, organizations that have completed vendor due diligence and model inventory may still have no visibility into agent behavior during live sessions.

agentic AI runtime control policy as code least privilege non-human identity observability NHIMG agent governance