At DEFCON 32, AI agents passed the Turing Test during vishing attempts, showcasing the rising danger of AI-driven social engineering and deepfake attacks. This talk examines how attackers leverage LLMs and emerging technologies to deceive and compromise systems at scale. Drawing from real-world cases, including DEFCON’s AI Social Engineering Competition, Lisa highlights critical vulnerabilities and provides actionable strategies to combat these threats. Attendees will gain practical insights into defending against adversarial AI, safeguarding systems, and staying ahead of the rapidly evolving landscape of AI-driven cyber threats.
Square Table – Unmasking the Deception: Tackling AI-Powered Social Engineering and Deepfake Threats
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Lisa Flynn
Lisa Flynn, MSc, is a Human Systems Engineer and AI Doctoral Researcher specializing in the intersection of secure, ethical AI systems. Flynn’s work focuses on leveraging agentic AI to address advanced threats, including social engineering and deepfake technology. She has introduced methodologies like Holistic Operational Planning (HOP) and Strategic Collective Implementation Planning (SCIP), which integrate collective impact for socio-technical resilience. A recognized expert, Flynn has presented at global conferences and run experiments at DEF CON, showcasing AI’s role in cybersecurity. Her research emphasizes ethical, secure AI adoption and actionable strategies to defend against evolving threats while advancing cybersecurity education and workforce development.
