Robust Intelligence vs SplxAI

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 SplxAIleads with “End-to-end security for AI with automated red teaming and runtime protection for agentic systems”. The table below compares what each publishes.

Where Robust Intelligence pulls ahead

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

Where SplxAI pulls ahead

Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems

	Robust Intelligence	SplxAI
Positioning	AI Firewall and automated model validation to secure AI from build to production	End-to-end security for AI with automated red teaming and runtime protection for agentic systems
Category	Red-Teaming & AI Security	Red-Teaming & AI Security
Frameworks	NIST AI RMF	None published
Deployment	SaaS, On-prem, API	SaaS, API, Open-source
Built for	Security, Data Science / ML, Risk	Security, Data Science / ML, GRC
Founded	2019	2023
Headquarters	San Francisco, California, USA	Dover, Delaware, USA
Ownership	Acquired by Cisco (2024, reported ~$400M); now part of Cisco AI Defense	Acquired by Zscaler (2025)
Funding	~$44M raised prior to acquisition; valued above $200M	~$9M total; $7M seed in March 2025 led by LauncHub Ventures
Pricing	Enterprise 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	Automated red teaming AI asset management and discovery Runtime input/output guardrails Dynamic prompt hardening Governance and compliance mapping Agentic Radar open-source scanner
Integrations	Cisco Security Cloud / AI Defense, Major LLM providers, ML pipelines and model registries	MCP servers, GitHub
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 wanting full-stack AI security from red teaming through runtime protection for agentic systems
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	Now part of Zscaler, so standalone availability and roadmap are tied to the acquirer; detailed compliance certifications not publicly enumerated.

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 SplxAI if enterprises wanting full-stack AI security from red teaming through runtime protection for agentic 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 Robust Intelligence profile →Full SplxAI profile →

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