Mindgard Launches Autonomous AI Security Platform to Detect and Fix Vulnerabilities
New capabilities enable continuous automated AI risk discovery, revealing the real AI attack surface and helping security teams conduct faster, more targeted security assessments.
Mindgard, the leader in AI security, announced the expansion of its automated and continuous AI security platform with the introduction of the industry’s first reconnaissance capability designed for AI models, agents and applications. This capability allows enterprise security teams to discover, assess, and defend their AI deployments against security and safety risks faster and more cost-effectively.
Powered by an attack library originating from Lancaster University, the world’s largest AI security laboratory, Mindgard’s platform draws on more than a decade of AI security research and offensive security expertise. The platform is already used by Fortune 500 security teams and in the past 90 days has identified more than 80 publicly reported vulnerabilities across leading AI technologies including xAI’s Grok, OpenAI’s ChatGPT, and Google’s Antigravity IDE.
Mindgard Reconnaissance automates the intelligence-gathering phase of AI security assessments, allowing security teams to rapidly map the real attack surface of AI models, agents, and systems. By identifying guardrails, system prompts, tools, integrations and external services, the capability reveals how AI systems behave in production and where agentic attack paths may emerge. This enables organizations to move directly into targeted risk assessment, surfacing high-impact risks earlier and focusing security efforts on the areas of greatest real-world exposure.
“Mindgard’s research resulted in actionable vulnerability submissions that we were able to act on swiftly,” said John Swanson, Head of Security at Zed Industries. “Addressing these vulnerabilities hardened the Zed editor against a class of vulnerabilities common to development tools integrating AI, improving the security posture of Zed and our broader developer community as a whole.”
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Mindgard will be attending RSAC 2026, where attendees can see the platform in action through live demos, chat with the Mindgard research team and step back into the 1990s in Mindgard’s throwback booth, an ode to the .com era. The booth, S-228, will include 1990s hacker gear and an AI capture the flag challenge.
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