Cranium AI vs SplxAI
Both compete in Red-Teaming & AI Security. Cranium AI positions itself as “End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI”, while SplxAIleads with “End-to-end security for AI with automated red teaming and runtime protection for agentic systems”. The table below compares what each publishes.
Where Cranium AI pulls ahead
Publishes support for EU AI Act, NIST AI RMF, ISO/IEC 42001, which SplxAI does not. Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Where SplxAI pulls ahead
Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
| Positioning | End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI | End-to-end security for AI with automated red teaming and runtime protection for agentic systems |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | EU AI Act, NIST AI RMF, ISO/IEC 42001 | None published |
| Deployment | SaaS, Cloud, API | SaaS, API, Open-source |
| Built for | Security, Risk, GRC, Compliance, Data Science / ML | Security, Data Science / ML, GRC |
| Founded | 2023 | 2023 |
| Headquarters | Short Hills, New Jersey, USA | Dover, Delaware, USA |
| Ownership | Private (venture-backed; spun out of KPMG Studio) | Acquired by Zscaler (2025) |
| Funding | ~$32M total; $25M Series A (Oct 2023) led by Titanium/Telstra Ventures with KPMG and SYN Ventures | ~$9M total; $7M seed in March 2025 led by LauncHub Ventures |
| Pricing | Enterprise subscription; quote-based (annual subscription also listed on Azure/Microsoft marketplaces) | Not published |
| Key capabilities |
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| Integrations | Weights & Biases, Microsoft Azure / Azure Marketplace, MITRE ATLAS, OWASP | MCP servers, GitHub |
| Notable customers | None published | None published |
| Best for | Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform | Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems |
| Limitations | 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. | Now part of Zscaler, so standalone availability and roadmap are tied to the acquirer; detailed compliance certifications not publicly enumerated. |
Which should you shortlist?
Choose Cranium AI if enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Choose SplxAI if enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
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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