AI Governance Principles: An Enterprise Implementation Guide
Akto, Monday, October 26th, 2026
Akto outlines seven AI governance principles and how enterprises can turn each into owned, enforced, and evidenced controls.
This Akto guide presents seven AI governance principles: accountability, transparency and explainability, fairness, privacy, safety and robustness, human oversight, and reliability.
It argues a principle only counts when it has a named owner, a technical control, and evidence the control ran.
The article distinguishes governance from AI ethics and from Gartner's AI TRiSM, and maps the principles to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and the OECD AI Principles.
It closes with operational steps such as tiered risk classification, monitoring, and cross-functional committees, and promotes Akto's agentic AI security platform.