How to Govern Agentic AI Before It Governs You

This content originally appeared on HackerNoon and was authored by Rajat Pandey

This article introduces the Agentic AI Governance Framework—a practical, implementation-ready approach for managing risk in autonomous AI systems. It outlines six core principles for traceability, monitoring, oversight, and accountability, introduces the Agentic Log Retention Index (ALRI) to quantify log quality, and provides real code for audit-grade logging in tools like LangChain, AutoGen, CrewAI, and Semantic Kernel. Designed for engineering leads, compliance teams, and researchers preparing for the EU AI Act and other regulatory pressures, the framework offers a clear, standardized way to build safe, transparent, and trustworthy agentic systems today.

This content originally appeared on HackerNoon and was authored by Rajat Pandey