#Policy as Code

Policy as code encodes governance rules in machine-readable, version-controlled formats. Articles cover OPA-based tool governance for agents, FREE-AI policy DSLs, and the approach of making compliance policies executable, testable, and deployable alongside application code.

3 posts tagged with policy as code. ← All posts

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Pratik Dhanave · ·6 min read

Governance as Code — Policy That Executes, Not Just Advises

A governance policy written in a PDF is a suggestion; a policy written as code is a control. The difference between the two is the difference between hoping teams comply and knowing they do, because the policy runs automatically and blocks what violates it. Governance as code applies the lessons of infrastructure-as-code and policy-as-code to AI governance — turning principles into executable, version-controlled, automatically-enforced checks. This post is about making governance something the system does, not something a document asks for.

A policy in a PDF is a suggestion; a policy as code is a control. Governance as code makes policy imperative — version-controlled, executable rules that run automatically at deploy, at runtime, and at registration, failing closed on what matters. What you can encode as gates, and what still needs human judgment.

#AI Governance#Policy as Code#Automation#DevSecOps#Risk Management#Accountability
Pratik Dhanave · ·15 min read

Infrastructure as Code Security and Policy as Code

Why your Terraform is a security control point, how misconfiguration scanners catch public buckets and open ingress before apply, and how to encode org guardrails as executable policy with OPA/Rego, Conftest, and Sentinel instead of a wiki page nobody reads.

Securing infrastructure definitions and enforcing guardrails automatically: IaC scanning (Checkov/tfsec/Trivy) for misconfig, drift detection, and policy-as-code with OPA/Rego + Conftest so org rules block bad infra before apply — not in a wiki.

#DevSecOps#IaC#Policy as Code#OPA#Security#Guardrails

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.