Robust Intelligence vs Patronus AI

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 Patronus AIleads with “Automated evaluation, guardrails, and judges for LLM and agent reliability”. The table below compares what each publishes.

Where Robust Intelligence pulls ahead

Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards

Where Patronus AI pulls ahead

ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps

Both map to NIST AI RMF, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.

	Robust Intelligence	Patronus AI
Positioning	AI Firewall and automated model validation to secure AI from build to production	Automated evaluation, guardrails, and judges for LLM and agent reliability
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	NIST AI RMF	NIST AI RMF
Deployment	SaaS, On-prem, API	SaaS, API
Built for	Security, Data Science / ML, Risk	Data Science / ML, Risk, Compliance
Founded	2019	2023
Headquarters	San Francisco, California, USA	San Francisco, California, USA
Ownership	Acquired by Cisco (2024, reported ~$400M); now part of Cisco AI Defense	Independent, venture-backed
Funding	~$44M raised prior to acquisition; valued above $200M	$17M Series A (2024) led by Notable Capital, with Lightspeed and Datadog (~$20M total); subsequent Series B reported
Pricing	Enterprise licensing (now sold within Cisco AI Defense)	Commercial SaaS / usage-based; some open evaluators and models available
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	Automated LLM evaluation and benchmarking Adversarial test-case generation Lynx hallucination detection and judge models Percival agent debugging Runtime guardrails PII, safety and compliance checks
Integrations	Cisco Security Cloud / AI Defense, Major LLM providers, ML pipelines and model registries	OpenAI, Anthropic, Bifrost gateway, Common ML/LLM stacks via API
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	ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps
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	More an evaluation/observability platform than a hardened security firewall; deepest value requires building evaluation into workflows; younger company still expanding enterprise features

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 Patronus AI if mL and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full Robust Intelligence profile →Full Patronus AI profile →

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