Mindgard alternatives

1. Protect AI

End-to-end security for the AI and machine-learning supply chain

Best for: Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle

Frameworks: NIST AI RMF, SOC 2

2. 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

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. 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

5. 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

6. 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

7. HiddenLayer

AI detection and response plus red teaming to protect machine learning models and AI products

Best for: Enterprises and regulated organizations needing runtime protection and detection for production ML models

8. TrojAI

Enterprise AI security combining automated red teaming with real-time application protection

Best for: Enterprises wanting combined pre-deployment red teaming and runtime AI application protection