Turning AI Speed Against Attackers: How Deception Stops Autonomous Threats

  • Zscaler
Turning AI Speed Against Attackers: How Deception Stops Autonomous Threats

Webinar

Autonomous AI agents are accelerating cyberattacks from human timelines to machine speed. Reconnaissance, vulnerability discovery, lateral movement, and exploit generation can now happen in minutes or seconds, making traditional, human-led processes ineffective.
Dr. Sean Hays, a former cyber defense leader at a global travel company, will join us to share how deception helps defenders turn AI speed against attackers.

The session will explore how deception uses realistic decoys and lures to misdirect AI-driven attackers, expose attacker intent, and generate high-fidelity alerts before real damage occurs.

What You'll Learn

  1. Detect autonomous, AI-driven attack behavior earlier in the kill chain
  2. Use decoys and breadcrumbs to misdirect attackers away from real assets
  3. Generate high-confidence alerts from adversary interaction with deception assets
  4. Apply deception as part of a Zero Trust strategy for the agentic AI era
  5. Build a practical deception capability across endpoints, identity, network, cloud, and AI infrastructure

Speakers

  1. Mackenzie Putici Webinar Moderator Future B2B
  2. Amir Moin Principal Product Manager Zscaler
  3. Dr. Sean Hayes Director of Cybersecurity Zscaler
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