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
| Positioning | AI Firewall and automated model validation to secure AI from build to production | AI detection and response plus red teaming to protect machine learning models and AI products |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | NIST AI RMF | None published |
| Deployment | SaaS, On-prem, API | SaaS, On-prem, API |
| Built for | Security, Data Science / ML, Risk | Security, Data Science / ML, Risk |
| Founded | 2019 | 2022 |
| Headquarters | San Francisco, California, USA | Austin, Texas, USA |
| Ownership | Acquired by Cisco (2024, reported ~$400M); now part of Cisco AI Defense | Private (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 |
| Pricing | Enterprise licensing (now sold within Cisco AI Defense) | Not published |
| Key capabilities |
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| Integrations | Cisco Security Cloud / AI Defense, Major LLM providers, ML pipelines and model registries | Not published |
| Notable customers | None published | None published |
| Best for | Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards | Enterprises and regulated organizations needing runtime protection and detection for production ML models |
| Limitations | Absorbed into Cisco, so it is increasingly delivered as Cisco AI Defense rather than a standalone product; enterprise-oriented, less accessible to small teams | Historically 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.
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