AIAI Governance StackFree kit

HiddenLayer vs Mindgard

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 Mindgardleads with “Continuous automated AI red teaming and security testing for enterprise AI systems”. 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 Mindgard pulls ahead

Publishes support for SOC 2, which HiddenLayer does not. Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems

HiddenLayer
Mindgard
PositioningAI detection and response plus red teaming to protect machine learning models and AI productsContinuous automated AI red teaming and security testing for enterprise AI systems
CategoryRed-Teaming & AI SecurityRed-Teaming & AI Security
FrameworksNone publishedSOC 2
DeploymentSaaS, On-prem, APISaaS, API
Built forSecurity, Data Science / ML, RiskSecurity, Data Science / ML, Risk
Founded20222022
HeadquartersAustin, Texas, USABoston, USA (with London, UK office)
OwnershipPrivate (VC-backed)Private (VC-backed)
Funding$56M total; $50M Series A in 2023 led by M12 and Moore Strategic Ventures, with Booz Allen, IBM and Capital One VenturesOver $11.6M raised, including an $8M round in December 2024 led by .406 Ventures, with IQ Capital, Lakestar, Atlantic Bridge and WillowTree Investments
PricingNot publishedNot published
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)
  • Automated AI red teaming
  • AI discovery and reconnaissance
  • Attack surface mapping
  • Vulnerability assessment
  • Model scanning
  • Runtime protection
IntegrationsNot publishedOpenAI, Anthropic, AWS, Docker, Burp Suite, CI/CD pipelines
Notable customersNone publishedNone published
Best forEnterprises and regulated organizations needing runtime protection and detection for production ML modelsEnterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
LimitationsHistorically ML-model centric; buyers seeking full agentic AI governance or compliance certification may need complementary tooling.Focused on security testing rather than broad AI governance or policy management; some framework-specific compliance mapping is not detailed publicly.

Which should you shortlist?

Choose HiddenLayer if enterprises and regulated organizations needing runtime protection and detection for production ML models

Choose Mindgard if enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems

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 Mindgard profile →

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