Protect AI vs SplxAI
Both compete in Red-Teaming & AI Security. Protect AI positions itself as “End-to-end security for the AI and machine-learning supply chain”, 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 Protect AI pulls ahead
Publishes support for NIST AI RMF, SOC 2, which SplxAI does not. Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle
Where SplxAI pulls ahead
Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
| Positioning | End-to-end security for the AI and machine-learning supply chain | 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, SOC 2 | None published |
| Deployment | SaaS, On-prem, Open-source, API | SaaS, API, Open-source |
| Built for | Security, Data Science / ML, Risk | Security, Data Science / ML, GRC |
| Founded | 2022 | 2023 |
| Headquarters | Seattle, Washington, USA | Dover, Delaware, USA |
| Ownership | Acquired by Palo Alto Networks (announced April 2025, ~$700M); part of Prisma AIRS | Acquired by Zscaler (2025) |
| Funding | $60M Series B (2024) at ~$400M valuation prior to acquisition | ~$9M total; $7M seed in March 2025 led by LauncHub Ventures |
| Pricing | Enterprise licensing; open-source tools (ModelScan, LLM Guard) free | Not published |
| Key capabilities |
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| Integrations | Amazon Bedrock, Hugging Face, MLflow / CI-CD pipelines, Major LLM providers, Palo Alto Prisma AIRS | MCP servers, GitHub |
| Notable customers | None published | None published |
| Best for | Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle | Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems |
| Limitations | Now integrated into Palo Alto Networks, so standalone products may converge into Prisma AIRS; breadth means some components (runtime guardrails vs. model scanning) are stronger than others | 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 Protect AI if security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle
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.
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