Mindgard vs TrojAI
Both compete in Red-Teaming & AI Security. Mindgard positions itself as “Continuous automated AI red teaming and security testing for enterprise AI systems”, while TrojAIleads with “Enterprise AI security combining automated red teaming with real-time application protection”. The table below compares what each publishes.
Where Mindgard pulls ahead
Publishes support for SOC 2, which TrojAI does not. Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
Where TrojAI pulls ahead
Enterprises wanting combined pre-deployment red teaming and runtime AI application protection
| Positioning | Continuous automated AI red teaming and security testing for enterprise AI systems | Enterprise AI security combining automated red teaming with real-time application protection |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | SOC 2 | None published |
| Deployment | SaaS, API | SaaS, Cloud, API |
| Built for | Security, Data Science / ML, Risk | Security, Data Science / ML, Risk |
| Founded | 2022 | 2020 |
| Headquarters | Boston, USA (with London, UK office) | Saint John, New Brunswick, Canada (with Boston office) |
| Ownership | Private (VC-backed) | Acquired by A10 Networks (2026) |
| 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 | ~$11.4M total; $5.75M seed in April 2024 led by Flying Fish Partners |
| Pricing | Not published | Not published |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, AWS, Docker, Burp Suite, CI/CD pipelines | Not published |
| 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 combined pre-deployment red teaming and runtime AI application protection |
| 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 A10 Networks, so future roadmap is tied to the acquirer; standalone framework/compliance mapping is limited publicly. |
Which should you shortlist?
Choose Mindgard if enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
Choose TrojAI if enterprises wanting combined pre-deployment red teaming and runtime AI application protection
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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