Mindgard vs Cranium AI
Both compete in Red-Teaming & AI Security. Mindgard positions itself as “Continuous automated AI red teaming and security testing for enterprise AI systems”, 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 Mindgard pulls ahead
Publishes support for SOC 2, which Cranium AI does not. Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
Where Cranium AI pulls ahead
Publishes support for EU AI Act, NIST AI RMF, ISO/IEC 42001, which Mindgard does not. Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
| Positioning | Continuous automated AI red teaming and security testing for enterprise AI systems | 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 | SOC 2 | EU AI Act, NIST AI RMF, ISO/IEC 42001 |
| Deployment | SaaS, API | SaaS, Cloud, API |
| Built for | Security, Data Science / ML, Risk | Security, Risk, GRC, Compliance, Data Science / ML |
| Founded | 2022 | 2023 |
| Headquarters | Boston, USA (with London, UK office) | Short Hills, New Jersey, USA |
| Ownership | Private (VC-backed) | Private (venture-backed; spun out of KPMG Studio) |
| Funding | Over $11.6M raised, including an $8M round in December 2024 led by .406 Ventures, with IQ Capital, Lakestar, Atlantic Bridge and WillowTree Investments | ~$32M total; $25M Series A (Oct 2023) led by Titanium/Telstra Ventures with KPMG and SYN Ventures |
| Pricing | Not published | Enterprise subscription; quote-based (annual subscription also listed on Azure/Microsoft marketplaces) |
| Key capabilities |
|
|
| Integrations | OpenAI, Anthropic, AWS, Docker, Burp Suite, CI/CD pipelines | Weights & Biases, Microsoft Azure / Azure Marketplace, MITRE ATLAS, OWASP |
| Notable customers | None published | None published |
| Best for | Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems | Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform |
| Limitations | Focused on security testing rather than broad AI governance or policy management; some framework-specific compliance mapping is not detailed publicly. | 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 Mindgard if enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
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.
Free. No spam — unsubscribe anytime.