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.
Mindgard announced the expansion of its AI security platform with the industry's first reconnaissance capability designed for AI models, agents, and applications.
Mindgard Reconnaissance automates the intelligence-gathering phase of AI security assessments, mapping the real attack surface of AI systems in production.
The platform draws on an attack library originating from Lancaster University, the world's largest AI security laboratory with over a decade of AI security research.
In the past 90 days, Mindgard has identified more than 80 publicly reported vulnerabilities across leading AI technologies including xAI's Grok, OpenAI's ChatGPT, and Google's Antigravity IDE.
The capability identifies guardrails, system prompts, tools, integrations, and external services to reveal where agentic attack paths may emerge.
Mindgard will showcase the platform at RSAC 2026 with live demos and an AI capture the flag challenge at booth S-228.
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."
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.
About Mindgard
Mindgard, the leading provider of AI security solutions, helps enterprises discover, assess, and defend their AI systems. Spun out from over a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard combines offensive security expertise with AI research to identify exploitable vulnerabilities in AI models, agents, and applications before attackers do.
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