KEYNOTE: AI Has Changed Fraud. Now We Need to Change How We Fight It
30 Jun 2026
- Deep dive into why fraud losses appear stable but underlying risk is increasing. Covering how attackers are using AI to scale sophistication and volume and the rise of synthetic id’s, deepfakes, and multi-step social engineering.
- Are your current approaches falling short? Explore why manual reviews and “gut feel” don’t hold up at scale and where the shift from single checks to continuous, multi-signal decisioning can strengthen your prevention.
- What needs to change now to avoid being exposed over the next 12–24 months? Stay ahead of pressure from leadership and regulators by learning how leading fraud teams reduce cost while improving detection.
