AI Governance Tooling

AI governance tooling encompasses software platforms, frameworks, and integrated systems designed to help organizations manage, monitor, and enforce AI policies across their operations. These tools address critical needs like model tracking, bias detection, compliance documentation, access controls, and audit trails to ensure AI systems meet regulatory and internal standards. For enterprises, robust governance tooling is essential to reduce risk, maintain operational visibility, and demonstrate compliance with emerging AI regulations like the EU AI Act.

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Corporate PolicyGlobal2026-08-28

Open-Source Runtime Enforcer Exposes the Gap Between Agent Policy and Practice

Conduct, an open-source AI agent governance framework published on GitHub by independent developer sseshachala, enforces compliance policy before LLM or shell tool calls execute rather than logging behavior after the fact. The project ships with more than 20 pre-mapped compliance packs covering frameworks including the EU AI Act, NIST AI RMF, HIPAA, PCI DSS 4.0, SOC 2, and ISO 42001. It uses a fail-closed default and SHA-256 hash-chained audit logs designed to produce auditor-ready evidence.

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