AI has collapsed the cost of convincing fraud. Cloned voices, synthetic "family emergency" calls, and personal data harvested from broker sites now give attackers everything they need to impersonate a trusted contact — and traditional, enterprise-built fraud controls weren't designed to catch it at the point of contact with consumers. This session opens with an expert panel examining how behavioral AI, real-time call and message screening, and automated data-broker removal are reshaping consumer fraud prevention, followed by two startup pitches showing these approaches in practice.

Attendees will leave able to:

• Evaluate behavioral AI detection models for identifying voice-cloned and social-engineered scams in real time
• Assess data-broker exposure as an upstream attack surface, not just a privacy compliance issue
• Compare proactive removal strategies against reactive, detection-only fraud controls
• Apply consumer-grade threat models to inform enterprise thinking on identity protection and fraud prevention

Whether you're building fraud detection tools or advising on consumer risk, this session grounds emerging AI threat patterns in what's actually shipping today.