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Mindgard's AI Safety & Security Assessment combines reconnaissance, AI penetration testing, and agentic security assessment to identify security and safety risks across AI systems.

The assessment includes a detailed report, findings review, and access to the tests used to reproduce results within the Mindgard Platform.

156

Vulnerabilities reported

Submitted to affected vendors

132

Vulnerabilities accepted

Confirmed valid by vendors

Vulnerabilities patched

Vendor fix confirmed

Affected vendors

Distinct organizations

Affected products

Distinct AI systems & tools

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Mindgard helps organizations discover, assess and defend their AI systems. Spun out of more than a decade of AI security research at Lancaster University in the UK and headquartered in Boston and London, Mindgard operationalizes the expertise of AI researchers and offensive security practitioners through a Security Platform that performs Shadow AI discovery, AI red teaming, and run-time AI protection to assess and mitigate risk across models, agents, and applications.