Studying for the AIGP? Here's a Reference Implementation...
Studying for the IAPP AI Governance Professional credential? Here's an open-source Go codebase that demonstrates ~70% of the body of knowledge in working code.
Regulatory compliance turns legal obligations into auditable engineering controls. Posts here cover HIPAA technical safeguards, SOC 2 automation with Terraform, AI governance certification (AIGP), RBI mandates for FinTech, and the FREE-AI governance framework for responsible AI deployment.
8 posts tagged with compliance. ← All posts
Studying for the IAPP AI Governance Professional credential? Here's an open-source Go codebase that demonstrates ~70% of the body of knowledge in working code.
Enough to reconstruct, never enough to leak. The audit event schema problem under §164.312(b), and how to solve it without conflating the audit sink with the PHI sink.
What HIPAA looks like when you express it as Go interfaces — governance policies, append-only audit at DB GRANTs, PHI redaction at the logger seam, and HITL as the §3060 CDS carve-out criterion 4.
If you encode each SOC 2 control as a Terraform module, the audit becomes a check against module usage rather than a per-resource review. Notes from Bloom and adjacent projects.
Board policy as a YAML file the risk team owns. Annexure VI as a database query. Every governance recommendation rendered as a file path in a Go repository.
The RBI FREE-AI incident reporting form, expressed as a Go struct and a Postgres table. Every entry is an auto-generated artefact from the runtime — not a form an operator fills in retrospectively.
Every one of the 26 RBI FREE-AI recommendations, mapped to a specific file in a working multi-agent platform. What's ✅ done, what's 🟡 partial, what's ⚪ honest gap.
IAPP's AI Governance Professional certification covers a body of knowledge worth knowing whether you certify or not. The mapping from BOK to working Go code for the engineer who wants to understand AI governance practically.
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.