Mindgard

What is Mindgard?

Mindgard is an AI security platform for discovering, assessing and defending AI systems and agents against exploits. It acts as an autonomous red teamer, using attacker-style reconnaissance to map and secure the AI attack surface.

Key capabilities of Mindgard

• AI discovery and recon: Finds shadow AI and enumerates attack surface
• Psychometric agent profiling: Profiles agents the way attackers do
• AI red teaming: Automated continuous testing against evolving attacks
• AI assessment: Identifies vulnerabilities and reports risk compliance
• Runtime protection: Real-time threat detection and response
• Agent hardening: Automated hardening of agents

How Mindgard works

Mindgard maps AI assets, then continuously attacks them using techniques drawn from 150+ publicly disclosed AI vulnerabilities. Findings feed assessments and runtime protection. It deploys in minutes through CI/CD, Burp Suite or a single click, and derives from 10+ years of Lancaster University AI security research.

Who uses Mindgard?

Security teams protecting AI systems. Vulnerabilities it disclosed include issues in Google Antigravity, OpenAI Sora, Zed AI and xAI Grok. It is headquartered in Boston and London and lists AICPA SOC 2 Type 2.

Mindgard pricing

Mindgard does not state pricing or customers on its homepage.

Mindgard alternatives

Alternatives include HiddenLayer for model security, Lakera for LLM runtime guardrails, and Protect AI for ML supply chain security.