Cranium AI review: AI security and governance platform for enterprises: find, monitor, govern and prove AI

What Cranium AI does

Finds AI models, agents and vendors across an enterprise, monitors them, enforces policy, red-teams them and produces shareable compliance evidence.

Cranium AI is an enterprise platform for securing and governing AI. Its main product, Cranium ONE, is described by the vendor as infrastructure and LLM-agnostic, and it puts every model, agent and vendor in one view. The vendor organizes the work as the AI Trust Loop, five stages that repeat: Discover, Observe, Govern, Secure and Prove.

Discover uses several sensors to scan code, cloud and agents, surface shadow AI, and produce AI Bills of Materials with ownership and usage details. Observe tracks model and agent behavior in production, including token usage and cost, with 100+ risk signals and 250+ intent classifications. Govern lets teams define and enforce policy mapped to NIST AI RMF and the EU AI Act. Secure covers automated, agent-based red teaming and runtime defense. Prove produces AI Cards and Trust Hubs so evidence can be shared with customers, partners and regulators.

The platform targets organizations that must account for AI they build, buy or inherit from vendors, including regulated sectors such as financial services. The vendor states it is SOC 2 Type 2 compliant and ISO 27001 certified.

Pricing is not published on the official site. The pages direct visitors to book a demo, and no plans, free tier or trial are listed.

• Shadow AI discovery across code, cloud and agents
• Auto-generated AI Bills of Materials
• Runtime monitoring with 100+ risk signals
• Token usage and cost tracking
• Policy enforcement mapped to NIST AI RMF and EU AI Act
• Agent-based red teaming
• AI Cards and Trust Hubs for sharing evidence
• Public API and documentation

Our take

Cranium AI fits larger organizations that need one place to inventory AI systems, monitor them, map them to frameworks like the EU AI Act and NIST AI RMF, and produce evidence for auditors or partners. The five-stage loop suggests a broad scope rather than a single-purpose tool. The trade-off is transparency: pricing is not published on the official site, and there is no stated free plan or trial, so evaluating cost means going through a demo. Small teams wanting a quick self-serve start may find this a poor match. Claims about outcomes come from the vendor's own pages.