Turn Singapore’s IMDA agentic AI framework into an engineering playbook: inventories, action boundaries, approval gates, and continuous oversight with policy-as-code.
Compliance today is a manual interpretation cycle — PDFs, internal policies, inconsistent enforcement. What if regulatory requirements distributed like npm packages? Here's the model, and why it's closer than you think.
OPA is excellent infrastructure policy. But AI governance requires semantic understanding, organizational context, and session-aware evaluation that a pattern-matching engine was never designed to handle. Here's where Rego breaks down — and what the alternative looks like.
Static PDF policies can't govern AI systems generating content at scale. Learn why policy-as-code — machine-readable, version-controlled, and automatically enforced rules — is the future of AI compliance.
