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This Black Hat conference talk examines the critical privacy and security vulnerabilities in autonomous AI agent systems across finance, healthcare, and customer service sectors. Delve into the specific threats facing multi-agent AI architectures, including adversarial attacks, prompt injections, and sophisticated social engineering techniques. Learn through practical case studies how these autonomous systems operate, adapt, and potentially expose vulnerabilities. Gain practical defensive strategies including privilege management frameworks, LLM "judge" implementation, and secure communication protocols to protect AI deployments. Presented by Narayana Pappu (CEO, Zendata) and Rubens Zimbres (Senior AI Engineer), this 37-minute briefing provides essential knowledge for securing increasingly autonomous AI systems against emerging threats.
