HiddenLayer vs Cranium AI

Both compete in Red-Teaming & AI Security. HiddenLayer positions itself as “AI detection and response plus red teaming to protect machine learning models and AI products”, 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 HiddenLayer pulls ahead

Enterprises and regulated organizations needing runtime protection and detection for production ML models

Where Cranium AI pulls ahead

Publishes support for EU AI Act, NIST AI RMF, ISO/IEC 42001, which HiddenLayer does not. Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform

	HiddenLayer	Cranium AI
Positioning	AI detection and response plus red teaming to protect machine learning models and AI products	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	None published	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	2022	2023
Headquarters	Austin, Texas, USA	Short Hills, New Jersey, USA
Ownership	Private (VC-backed)	Private (venture-backed; spun out of KPMG Studio)
Funding	$56M total; $50M Series A in 2023 led by M12 and Moore Strategic Ventures, with Booz Allen, IBM and Capital One Ventures	~$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	Machine Learning Detection and Response (MLDR) Model scanning Automated red teaming Real-time attack detection AI risk and governance reporting Response actions (alert, isolate, deceive)	AI asset discovery and AI Bill of Materials (AI-BOM) Shadow AI detection Continuous behavioral monitoring and observability Cranium Arena red-teaming (MITRE ATLAS, OWASP) Policy governance mapped to NIST AI RMF, EU AI Act and ISO 42001 Runtime threat detection and remediation
Integrations	Not published	Weights & Biases, Microsoft Azure / Azure Marketplace, MITRE ATLAS, OWASP
Notable customers	None published	None published
Best for	Enterprises and regulated organizations needing runtime protection and detection for production ML models	Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Limitations	Historically ML-model centric; buyers seeking full agentic AI governance or compliance certification may need complementary tooling.	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 HiddenLayer if enterprises and regulated organizations needing runtime protection and detection for production ML models

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.

Full HiddenLayer profile →Full Cranium AI profile →

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.