Kevin Tian on AI-scaled social engineering and defenses

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    Video summary

    Kevin Tian describes how AI can make social engineering cheaper to scale across calls, messages and video. Sophia Dew asks how improving generative models change the challenge for organizations that need to distinguish legitimate communication from impersonation.

    Kevin Tian explains that employee behavior and security events can inform risk assessments, including suspicious sign-ins and authentication changes. These signals indicate where to investigate; they do not by themselves prove that an individual is compromised. His descriptions of Doppel's system are the company's account, not independent performance evidence.

    Kevin Tian sees attackers and defenders adapting to one another as the tools improve. The practical distinction is between detecting one suspicious message and maintaining a response across channels and large volumes. The discussion does not establish a guaranteed or permanent advantage for either side.

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    Kevin Tian in blue with round glasses and Sophia Dew in white beside the white and blue headline Defending Against AI Deception on black. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 15 October 2026 and duration 12m 43s.

    Kevin Tian argues that AI increases the scale and reach of social engineering. He discusses risk signals and adaptive defenses, without suggesting a permanent win for attackers or defenders.