Protect AI alternatives
Protect AI is end-to-end security for the AI and machine-learning supply chain. If it is not the right fit, the tools below solve a comparable problem in Red-Teaming & AI Security, ranked by how closely they overlap on framework coverage and target team.
Why teams look past Protect AI
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
1. Cranium AI
End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI
Best for: Enterprises that need to secure, red-team, and prove governance across internal and third-party AI in one platform
Frameworks: EU AI Act, NIST AI RMF, ISO/IEC 42001
2. Mindgard
Continuous automated AI red teaming and security testing for enterprise AI systems
Best for: Enterprise security teams needing continuous, attacker-perspective red teaming and testing of LLMs and AI systems
Frameworks: SOC 2
3. Robust Intelligence
AI Firewall and automated model validation to secure AI from build to production
Best for: Enterprise security and ML risk teams wanting adversarial testing plus runtime protection mapped to AI-security standards
Frameworks: NIST AI RMF
4. Giskard
Open-source and enterprise platform for testing and red-teaming LLM agents
Best for: ML, quality, and risk teams wanting open-source-first, framework-aligned LLM testing and continuous red teaming
Frameworks: EU AI Act, NIST AI RMF
5. Patronus AI
Automated evaluation, guardrails, and judges for LLM and agent reliability
Best for: ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps
Frameworks: NIST AI RMF
6. Promptfoo
Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems
Best for: Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
7. Adversa AI
Continuous AI red teaming for agents, LLMs, and generative AI applications
Best for: Organizations needing specialist, research-driven adversarial testing of LLMs and AI agents
8. Vijil
Trust infrastructure to make enterprise AI agents secure, reliable, and resilient
Best for: Teams building enterprise AI agents that need lifecycle testing, hardening, and trust evidence
AI Governance Tool Selection Kit
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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