Fraud Prevention: Using AI to Shift from Defense to Offense

This session is sponsored by Sift.

About the Speaker
Mark Zawacki is a global strategist, startup investor, and AI advisor who helps organizations navigate disruptive technology, accelerate innovation, and create measurable enterprise value. As a Chief Strategy Officer and entrepreneur, he works at the intersection of artificial intelligence, venture creation, digital transformation, and the future of business.

Synopsis
Fraud isn’t just a technology problem, it’s a system design failure. Despite massive investments in detection, fraud keeps growing because identity is cheap, transactions are “dumb,” and incentives remain misaligned.

This fast-paced 25-minute webinar introduces a radically different approach: using AI to redesign systems so fraud becomes structurally impossible, not just harder to detect.
You’ll learn how AI can eliminate anonymous, reusable identities by creating persistent, behavior-based identity models that evolve in real time. We’ll explore how transactions themselves can become “self-aware,” dynamically adjusting based on risk, intent, and context before money ever moves.

We’ll also examine how AI removes the time lag fraud depends on, enabling real-time decisioning and stopping attacks before they happen. Beyond technology, we address the human factor, how AI can detect manipulation and intervene during social engineering attempts.

Finally, we tackle the root issue most ignore: incentives. With AI-driven risk pricing and shared accountability, fraud becomes economically unattractive.

This isn’t about catching more fraud, it’s about designing it out of the system entirely.

If you’re ready to rethink fraud from the ground up, this session will challenge how you see identity, transactions, and trust in the AI era.