Peter Garraghan demos the Mindgard AI Security Platform

Organizations are rapidly adopting AI technologies, embedding them into production environments without full visibility into how their probabilistic and opaque behaviors introduce exploitable risk. Mindgard addresses this challenge by providing AI security solutions that help enterprises secure AI models, agents, and applications across the AI lifecycle. Spun out of more than a decade of AI security research at Lancaster University and headquartered in Boston and London, Mindgard enables organizations to identify, assess, and mitigate real-world AI threats. Table of contents: AI security challenges & platform mission Three pillars of AI security AI risk assessment & testing framework AI defense & remediation capabilities Platform architecture & API integration Automated testing & threat hub results AI reconnaissance & guardrail fingerprinting Input capability detection & encoding analysis Multi-turn attack testing & vulnerability mapping Projects, policies & collaboration workflow Advanced attack techniques & exploit testing Reporting, integrations & export capabilities CLI automation & CI/CD integration Platform architecture & API integration Automated testing & threat hub results AI reconnaissance & guardrail fingerprinting Input capability detection & encoding analysis Multi-turn attack testing & vulnerability mapping Projects, policies & collaboration workflow Advanced attack techniques & exploit testing Reporting, integrations & export capabilities CLI automation & CI/CD integration