Generative AI is transforming how fraudsters operate. From realistic synthetic identities and forged documents to voice cloning and deepfake videos, AI‑generated assets are making it harder than ever for organizations to authenticate users and prevent fraud.
In this webinar, risk and fraud leaders will unpack how AI‑driven identity replication is bypassing traditional detection controls — and what teams must do now to stay ahead.
Generative AI refers to artificial intelligence systems that can create new content — such as text, images, audio, or video — based on patterns learned from existing data. These systems produce outputs that closely resemble human‑created work, enabling both innovation and new security risks.
The evolution of deepfakes & identity replication
Fraud attack paths across channels and industries
Case studies: how detection failed — and what worked
Frameworks for AI‑resilient identity verification
Rise of deepfake-enabled account takeovers and remote onboarding fraud
Increasing accessibility of AI tools lowers the barrier for bad actors
Fraud rings now automate identity replication across multiple channels
Document tampering and face spoofing are harder to detect without liveness and forensic