Robust Intelligence vs Cranium AI
Both compete in Red-Teaming & AI Security. Robust Intelligence positions itself as “AI Firewall and automated model validation to secure AI from build to production”, while Cranium AIleads with “End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI”. The table below compares what each publishes.
Where Robust Intelligence pulls ahead
Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards
Where Cranium AI pulls ahead
Publishes support for EU AI Act, ISO/IEC 42001, which Robust Intelligence does not. Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Both map to NIST AI RMF, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.
| Positioning | AI Firewall and automated model validation to secure AI from build to production | End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | NIST AI RMF | EU AI Act, NIST AI RMF, ISO/IEC 42001 |
| Deployment | SaaS, On-prem, API | SaaS, Cloud, API |
| Built for | Security, Data Science / ML, Risk | Security, Risk, GRC, Compliance, Data Science / ML |
| Founded | 2019 | 2023 |
| Headquarters | San Francisco, California, USA | Short Hills, New Jersey, USA |
| Ownership | Acquired by Cisco (2024, reported ~$400M); now part of Cisco AI Defense | Private (venture-backed; spun out of KPMG Studio) |
| Funding | ~$44M raised prior to acquisition; valued above $200M | ~$32M total; $25M Series A (Oct 2023) led by Titanium/Telstra Ventures with KPMG and SYN Ventures |
| Pricing | Enterprise licensing (now sold within Cisco AI Defense) | Enterprise subscription; quote-based (annual subscription also listed on Azure/Microsoft marketplaces) |
| Key capabilities |
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| Integrations | Cisco Security Cloud / AI Defense, Major LLM providers, ML pipelines and model registries | Weights & Biases, Microsoft Azure / Azure Marketplace, MITRE ATLAS, OWASP |
| Notable customers | None published | None published |
| Best for | Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards | Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform |
| Limitations | Absorbed into Cisco, so it is increasingly delivered as Cisco AI Defense rather than a standalone product; enterprise-oriented, less accessible to small teams | Security- and red-teaming-first orientation means it emphasizes threat testing and monitoring over deep policy/GRC workflow; enterprise pricing is not publicly listed; still a relatively young company with limited publicly named customers. |
Which should you shortlist?
Choose Robust Intelligence if enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards
Choose Cranium AI if enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
AI Governance Tool Selection Kit
A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.
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