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Learn to protect your generative AI applications from critical cybersecurity threats through this comprehensive conference talk that introduces the STOIC framework for identifying and mitigating five deadly risks: Stolen data, Tricked models, Obstructed operations, Infected training data, and Compromised supply chains. Discover how to understand your generative AI risks while implementing hardening strategies for your systems and securing your supply chain against vulnerabilities. Master governance approaches that provide clarity in AI security management and develop agile methodologies to stay ahead of emerging threats. Explore how data theft, model manipulation, poisoned training data, operational disruptions, and supply chain vulnerabilities can compromise your AI applications, and gain practical strategies for implementing proactive, layered defenses. Transform your understanding of generative AI security from viewing it as a potential liability to leveraging it as a safe, game-changing tool for your organization through strategic risk management and comprehensive security frameworks.
