AI governance platforms answer the questions boards started asking once employees began pasting company data into chatbots: what AI is running here, who approved it, what could it leak, and who is accountable when an agent acts? Buyers are CISOs, chief risk officers, and the AI councils forming inside large enterprises — plus public-sector organizations with their own accountability mandates.
The tooling breaks into visibility, control, and assurance. Visibility products discover AI use across the organization: Aurascape ($50M raised) exists to discover, govern, and protect enterprise AI use. Control products manage what agents can do: Astrix Security ($70M) secures the non-human identities agents operate under, Lumia Security ($18M) governs enterprise AI agents, and GitGuardian ($106M) extends secrets detection into non-human identity security. Assurance is the newest layer: Vijil ($23M) builds trust infrastructure to verify that agents are reliable, secure, and safe; Holistic AI covers governance, risk, and compliance across the full AI lifecycle; and Armilla AI ($31M) goes furthest by underwriting insurance and warranties for AI risk.
Leaders map their controls to real regimes — the EU AI Act, NIST's AI Risk Management Framework, ISO 42001 — rather than inventing proprietary scores, and can enforce policy at runtime instead of just documenting it after the fact.
An evaluation checklist: coverage of both third-party AI tools and internally built agents, integration with your identity provider and SIEM, evidence quality for auditors, and whether enforcement is real-time or report-based. NeuronFeed tracks 37 companies here with $2.1 billion in combined funding, including Peregrine Technologies at $440M on the public-safety side.