Session

AI-Powered Social Engineering: Defending Against Next-Gen Deception

The rise of AI has revolutionized social engineering attacks, with phishing emails increasing by 1,265% and credential phishing surging 967% since late 2022. From deepfake executive impersonation to AI-generated spear-phishing campaigns, organizations face unprecedented challenges in detecting and preventing these sophisticated threats.
This technical session dissects modern AI-enhanced attack vectors and provides practical defense strategies against synthetic media manipulation. Through real-world case studies, including the Russian Ambassador deepfake incident and the $25M HSBC fraud case, we'll examine how attackers leverage generative AI and LLMs for targeted business email compromise.

Key focus areas:
1. Analysis of voice cloning and deepfake technologies in social engineering
2. Implementation of AI-powered detection systems for synthetic media
3. Machine learning algorithms for real-time threat identification
4. Automated response protocols for AI-detected threats
5. Multi-layered verification systems for high-risk transactions
6. Employee training strategies for recognizing AI-generated content

The session includes live demonstrations of AI threat detection systems and frameworks for implementing defensive measures. Attendees will gain actionable insights into protecting their organizations against sophisticated AI-powered deception techniques shaping the 2024 threat landscape.
Ideal for security practitioners and decision-makers, this Blue Track presentation delivers practical knowledge for building resilient defenses against next-generation social engineering attacks.

Chaitanya Rahalkar

Software Security Engineer at Block Inc. (f.k.a. Square Inc.)

Austin, Texas, United States

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