Patronus AI vs SplxAI

Both compete in Red-Teaming & AI Security. Patronus AI positions itself as “Automated evaluation, guardrails, and judges for LLM and agent reliability”, 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 Patronus AI pulls ahead

Publishes support for NIST AI RMF, which SplxAI does not. ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps

Where SplxAI pulls ahead

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

	Patronus AI	SplxAI
Positioning	Automated evaluation, guardrails, and judges for LLM and agent reliability	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, API	SaaS, API, Open-source
Built for	Data Science / ML, Risk, Compliance	Security, Data Science / ML, GRC
Founded	2023	2023
Headquarters	San Francisco, California, USA	Dover, Delaware, USA
Ownership	Independent, venture-backed	Acquired by Zscaler (2025)
Funding	$17M Series A (2024) led by Notable Capital, with Lightspeed and Datadog (~$20M total); subsequent Series B reported	~$9M total; $7M seed in March 2025 led by LauncHub Ventures
Pricing	Commercial SaaS / usage-based; some open evaluators and models available	Not published
Key capabilities	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	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	OpenAI, Anthropic, Bifrost gateway, Common ML/LLM stacks via API	MCP servers, GitHub
Notable customers	None published	None published
Best for	ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps	Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
Limitations	More an evaluation/observability platform than a hardened security firewall; deepest value requires building evaluation into workflows; younger company still expanding enterprise features	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 Patronus AI if mL and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps

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 Patronus AI profile →Full SplxAI profile →

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