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Artificial Intelligence (AI)

Securing Against Deepfakes, Agentic AI, & Quantum


Course
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Tony Fergusson of Zscaler examines why zero trust must evolve to verify data authenticity in deepfake era and how adversaries exploit trusted platforms and use prompt injection to evade AI detection.

As deepfakes, synthetic identities and trusted platforms are increasingly exploited, trust has become an active attack surface. Zero trust introduced a paradigm shift: authenticate and authorize. Yet today's threat landscape demands evolution beyond traditional zero trust; it must evolve into a continuous and contextual model that reassesses trust across users, devices, content and data.

From LOTS attacks to agentic AI and quantum disruption, this session explores how rapid technological advancement is driving the evolution of zero trust.

This session will cover:

  • Why zero trust must evolve to include verification of data authenticity alongside authentication and authorization in an era of deepfakes and AI-generated content;
  • How adversaries exploit trusted consumer platforms and use techniques like prompt injection to evade AI-powered detection systems;
  • Why organizations must prepare now for quantum computing threats through post-quantum cryptography.
 

Here is the course outline:

The Trust Crisis: Securing Against Deepfakes, Agentic AI and Quantum

Completion

The following certificates are awarded when the course is completed:

CPE Credit Certificate