Mindgard vs SplxAI
Both compete in Red-Teaming & AI Security. Mindgard positions itself as “Continuous automated AI red teaming and security testing for enterprise AI systems”, 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 Mindgard pulls ahead
Publishes support for SOC 2, which SplxAI does not. Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
Where SplxAI pulls ahead
Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems
| Positioning | Continuous automated AI red teaming and security testing for enterprise AI systems | 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 | SOC 2 | None published |
| Deployment | SaaS, API | SaaS, API, Open-source |
| Built for | Security, Data Science / ML, Risk | Security, Data Science / ML, GRC |
| Founded | 2022 | 2023 |
| Headquarters | Boston, USA (with London, UK office) | Dover, Delaware, USA |
| Ownership | Private (VC-backed) | Acquired by Zscaler (2025) |
| Funding | Over $11.6M raised, including an $8M round in December 2024 led by .406 Ventures, with IQ Capital, Lakestar, Atlantic Bridge and WillowTree Investments | ~$9M total; $7M seed in March 2025 led by LauncHub Ventures |
| Pricing | Not published | Not published |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, AWS, Docker, Burp Suite, CI/CD pipelines | MCP servers, GitHub |
| Notable customers | None published | None published |
| Best for | Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems | Enterprises wanting full-stack AI security from red teaming through runtime protection for agentic systems |
| Limitations | Focused on security testing rather than broad AI governance or policy management; some framework-specific compliance mapping is not detailed publicly. | 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 Mindgard if enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
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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