About Cranium
Cranium provides an enterprise AI security and governance platform that automatically detects AI systems in internal and third-party environments, generates AI Bills of Materials for transparency, simulates adversarial attacks via agent-based red teaming in its Arena module, and applies automated remediations through Cranium Shield. The platform translates governance frameworks into compliance attestations, scores, and transparency reports, while enabling secure Trust Hubs for sharing standards across teams and partners. It addresses shadow AI through scanning tools like CodeSensor, Detect AI, and CloudSensor. Targeted at enterprises in regulated sectors such as financial services, the solution ensures security, compliance, and performance across the AI lifecycle without disrupting development workflows. Cranium emphasizes AI compliance with regulations like the EU AI Act and NIST AI RMF, alongside third-party risk management.Cranium Platform
Frameworks supported
Regulations and voluntary standards Cranium documents support for on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
Regulation · EU · in force
Voluntary standard · US · voluntary
Voluntary standard · Global · voluntary
Capabilities
Features Cranium markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
LLM Red Teaming
Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Third-Party AI Risk Management
Due diligence and ongoing monitoring of AI vendors, subprocessors, and foundation model providers against compliance and security criteria.
Shadow AI Detection
Discovery of unsanctioned AI tools and model usage across an organization.
Compliance Scoring
Quantitative assessment of an AI system or vendor against a regulatory framework.
Industries served
Pricing
Contact for pricing
Enterprise pricing not publicly listed; annual subscription model referenced in Microsoft Marketplace listing.Microsoft Marketplace
Pros and cons
Pros
- Maps to EU AI Act, NIST AI RMF, and ISO frameworks on platform page.Cranium Platform
- Recognized as Gartner Cool Vendor in AI Cybersecurity Governance.LinkedIn
- Serves financial institutions with strict regulatory needs, identifying vulnerabilities in vendor networks.Platform
- Spinout from KPMG with experienced leadership team from Microsoft, JPMorgan, etc.Team
Cons
- No public integrations listed on site.
- Pricing not publicly detailed, enterprise/contact-only likely.
- Focus on enterprise may limit accessibility for smaller organizations.
- Employee growth data varies across sources (45-51-200).
Sources
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