Protect AI vs TrojAI
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 TrojAIleads with “Enterprise AI security combining automated red teaming with real-time application protection”. The table below compares what each publishes.
Where Protect AI pulls ahead
Publishes support for NIST AI RMF, SOC 2, which TrojAI does not. Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle
Where TrojAI pulls ahead
Enterprises wanting combined pre-deployment red teaming and runtime AI application protection
| Positioning | End-to-end security for the AI and machine-learning supply chain | Enterprise AI security combining automated red teaming with real-time application protection |
|---|---|---|
| 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, Cloud, API |
| Built for | Security, Data Science / ML, Risk | Security, Data Science / ML, Risk |
| Founded | 2022 | 2020 |
| Headquarters | Seattle, Washington, USA | Saint John, New Brunswick, Canada (with Boston office) |
| Ownership | Acquired by Palo Alto Networks (announced April 2025, ~$700M); part of Prisma AIRS | Acquired by A10 Networks (2026) |
| Funding | $60M Series B (2024) at ~$400M valuation prior to acquisition | ~$11.4M total; $5.75M seed in April 2024 led by Flying Fish Partners |
| 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 | Not published |
| 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 combined pre-deployment red teaming and runtime AI application protection |
| 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 A10 Networks, so future roadmap is tied to the acquirer; standalone framework/compliance mapping is limited publicly. |
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 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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A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.
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