Mindgard.ai
Automated AI red teaming and security testing platform that discovers, assesses, and defends AI systems from vulnerabilities and attacks.
About
Mindgard is an AI-native security platform that acts as an autonomous red teamer to expose exploitable vulnerabilities in AI models, agents, and applications. Spun out from over a decade of AI security research at Lancaster University, the platform uses attacker-style reconnaissance to enumerate the AI attack surface, identify zero-day exploits, and provide runtime protection. It helps enterprises discover high-impact AI risks, assess them, and defend against real-world threats across production AI environments.
Core use cases
- AI red teaming and vulnerability discovery
- AI attack surface enumeration and risk assessment
- Runtime protection and automated AI agent hardening
- AI type
- AI-native
- Primary product type
- AI Governance Tool
- Secondary product type
- Monitoring & Alerting Tool
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