# AI Governance Platform

> AI governance platforms compared side by side on stated, checkable criteria: agent and MCP coverage, identity and permissions, audit logs, policy enforcement, shadow AI discovery, compliance mapping and deployment. Every fact links to the vendor page it came from. For security, IT, risk and platform leaders shortlisting a platform.

## Main pages

- [AI Governance Platforms Compared](https://aigovernanceplatform.org): what an AI governance platform does and the comparison table of every platform
- [How We Compare: The Evaluation Criteria](https://aigovernanceplatform.org/criteria): the seven criteria and how to verify each
- [All Platforms at a Glance](https://aigovernanceplatform.org/platforms): a profile per platform with what it covers, what it doesn't, and sources
- [How to Choose an AI Governance Platform](https://aigovernanceplatform.org/guide/choosing): A buyer's checklist for choosing an AI governance platform, with questions to ask vendors, organized by team size, risk profile and existing stack.

## Head-to-head comparisons

- [Runlayer vs Noma Security](https://aigovernanceplatform.org/compare/runlayer-vs-noma-security): Choose Runlayer if you want one product to discover shadow AI, run the MCP gateway, enforce policy at tool-call depth and roll agents out to employees. Choose Noma Security if your priority is security coverage of agents inside SaaS platforms and cloud workloads, red teaming, and compliance evidence mapped to AI frameworks.
- [Runlayer vs Arcade.dev](https://aigovernanceplatform.org/compare/runlayer-vs-arcade-dev): Choose Runlayer if you are governing AI use across the company, including employees' own clients, shadow AI and agent rollout. Choose Arcade.dev if you are an engineering team building your own agents and want delegated auth and a large tool catalog in an SDK-first runtime, including air-gapped installs.
- [MintMCP vs MCP Manager](https://aigovernanceplatform.org/compare/mintmcp-vs-mcp-manager): Choose MintMCP if you want MCP and model calls governed together, ready-made role bundles, and EU or US data residency. Choose MCP Manager if you want a quick, self-serve MCP gateway centered on PII and PHI filtering and can accept US-only hosting.

## Platforms compared

- [Runlayer](https://aigovernanceplatform.org/platforms#runlayer): An enterprise control plane covering MCP gateway, shadow AI discovery, runtime security and agent enablement.
- [Noma Security](https://aigovernanceplatform.org/platforms#noma-security): A security platform for agents across endpoint, SaaS and cloud: discovery, access control, runtime detection and red teaming.
- [Arcade.dev](https://aigovernanceplatform.org/platforms#arcade-dev): An actions runtime for agents: authenticated, policy-checked tool calls to business systems, with a large tool catalog.
- [MintMCP](https://aigovernanceplatform.org/platforms#mintmcp): An MCP gateway and LLM gateway with role-based tool bundles, guardrails and agent monitoring. Now named Mintive.
- [MCP Manager](https://aigovernanceplatform.org/platforms#mcp-manager): A hosted MCP gateway by Usercentrics with a private registry, PII filtering, RBAC, OAuth enforcement and audit logs.
- [Credo AI](https://aigovernanceplatform.org/platforms#credo-ai): A governance, risk and compliance platform for AI: registry, risk assessment, policy packs and audit evidence.

## Criteria

- [Coverage of agents and MCP](https://aigovernanceplatform.org/criteria#agents)
- [Identity and permissions](https://aigovernanceplatform.org/criteria#identity)
- [Audit logs](https://aigovernanceplatform.org/criteria#audit)
- [Policy enforcement](https://aigovernanceplatform.org/criteria#policy)
- [Shadow AI discovery](https://aigovernanceplatform.org/criteria#shadow)
- [Compliance mapping](https://aigovernanceplatform.org/criteria#compliance)
- [Deployment](https://aigovernanceplatform.org/criteria#deployment)