A practical guide for enterprise buyers: what AI governance platforms actually do, how they differ from AI gateways, the criteria that matter when evaluating, and how they connect to regulatory compliance.
An AI governance platform is software that helps enterprises define, enforce, and audit policies for how AI systems behave at runtime. Unlike observability tools that tell you what happened, governance platforms enforce what is allowed to happen — before the response reaches your users.
Core capabilities include: use-case registration and approval, real-time policy enforcement, PII redaction, content filtering, audit logging, compliance evidence generation, and risk classification mapped to regulatory frameworks like the EU AI Act and ISO 42001.
Register, review, and approve AI use cases before deployment. Know what AI is doing in your organisation.
Block, redact, or flag requests and responses that violate your policies — in real time, before they reach users.
Auto-generate audit-ready documentation for regulators, auditors, and legal teams. No manual evidence collection.
Automatically classify AI use cases by risk level against EU AI Act Annex III and ISO 42001 risk criteria.
These two categories are frequently confused. Both sit between your application and the LLM API — but they serve fundamentally different purposes. Learn more: What is an AI Gateway? and Why Enterprises Need an AI Gateway.
Portkey, Helicone, LiteLLM
Difinity, Credo AI, Holistic AI
Most platforms claim “AI governance.” These are the criteria that separate real enforcement from compliance theatre.
Policies must be enforced at inference time — not just documented. Look for real-time blocking, redaction, and flagging that happens before the response reaches your user.
Built-in frameworks for EU AI Act and ISO 42001. The platform should map your use cases to specific regulatory requirements automatically.
Automatic detection and redaction of personally identifiable information from prompts and responses before they reach the LLM or your users.
Every decision, enforcement action, and policy change should be logged and exportable in formats your auditors and regulators can use.
Your governance layer should work across OpenAI, Anthropic, Azure OpenAI, and open-source models — not lock you into a single LLM provider.
SAML/OIDC integration and role-based access control for managing which teams can approve, deploy, or audit AI use cases.
AI governance platforms are the operational layer that makes regulatory compliance achievable at scale. Two frameworks dominate enterprise AI compliance today:
The EU AI Act requires high-risk AI systems to have documented risk management, data governance, human oversight mechanisms, and continuous monitoring. An AI governance platform automates evidence collection and runtime enforcement for all four. Deadline: August 2026.
ISO/IEC 42001 is the first international standard for AI management systems. It covers 15 compliance areas including risk assessment, impact evaluation, and continuous improvement. AI governance platforms map your use cases to these areas and generate certification evidence.
Ready to compare specific vendors? Our detailed buyer's guide evaluates the leading AI governance platforms across runtime enforcement, compliance depth, pricing, and enterprise readiness.
Difinity is the only platform that combines runtime enforcement, EU AI Act and ISO 42001 compliance mapping, PII redaction, and audit evidence generation in a single integrated layer. Start with a briefing — not a demo.