Generative AI is driving a new wave of sophisticated fraud tactics—deepfakes, synthetic identities, and impersonation schemes are outpacing traditional security measures. In 2024 alone, AI-powered fraud accounted for 20% of attacks, resulting in over $12.5 billion in U.S. losses. Criminals are evolving faster than ever, making real-time detection and response essential.
As regulators tighten compliance frameworks, banks must move beyond perimeter defenses and adopt multi-layered, identity-centric security models. Today’s baseline includes:
- Zero Trust principles
- Behavioral analytics
- Adaptive authentication
But that’s not enough. Insider collusion and cross-institution fraud demand intelligence-sharing networks and predictive AI systems capable of analyzing millions of data points in real time.
