AIAI Governance StackFree kit

Robust Intelligence vs HiddenLayer

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 HiddenLayerleads with “AI detection and response plus red teaming to protect machine learning models and AI products”. The table below compares what each publishes.

Where Robust Intelligence pulls ahead

Publishes support for NIST AI RMF, which HiddenLayer does not. Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards

Where HiddenLayer pulls ahead

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

PositioningAI Firewall and automated model validation to secure AI from build to productionAI detection and response plus red teaming to protect machine learning models and AI products
CategoryRed-Teaming & AI SecurityRed-Teaming & AI Security
FrameworksNIST AI RMFNone published
DeploymentSaaS, On-prem, APISaaS, On-prem, API
Built forSecurity, Data Science / ML, RiskSecurity, Data Science / ML, Risk
Founded20192022
HeadquartersSan Francisco, California, USAAustin, Texas, USA
OwnershipAcquired by Cisco (2024, reported ~$400M); now part of Cisco AI DefensePrivate (VC-backed)
Funding~$44M raised prior to acquisition; valued above $200M$56M total; $50M Series A in 2023 led by M12 and Moore Strategic Ventures, with Booz Allen, IBM and Capital One Ventures
PricingEnterprise licensing (now sold within Cisco AI Defense)Not published
Key capabilities
  • AI Firewall runtime input/output protection
  • Algorithmic red teaming
  • Automated model validation and stress-testing
  • Prompt-injection and jailbreak defense
  • OWASP LLM and MITRE ATLAS mapping
  • Continuous production monitoring
  • 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)
IntegrationsCisco Security Cloud / AI Defense, Major LLM providers, ML pipelines and model registriesNot published
Notable customersNone publishedNone published
Best forEnterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standardsEnterprises and regulated organizations needing runtime protection and detection for production ML models
LimitationsAbsorbed into Cisco, so it is increasingly delivered as Cisco AI Defense rather than a standalone product; enterprise-oriented, less accessible to small teamsHistorically ML-model centric; buyers seeking full agentic AI governance or compliance certification may need complementary tooling.

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

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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