Deepfake & Synthetic Identity Fraud

Deepfake and synthetic identity fraud are new types of cyber threats in which hackers use AI to make fake identities, voices, and videos that look and sound real. These attacks are different from regular fraud in that they don't just use stolen credentials. Instead, they make up new, believable identities or convincingly copy real people like CEOs, managers, or even family members. Attackers use AI tools to make fake audio (voice cloning), fake videos (deepfakes), and fake identity profiles (synthetic identities that mix real and fake data). These are then used in situations like business email compromise (BEC), fake requests for approval, financial fraud, or getting around systems that check your identity. As an example, an attacker could copy a CEO's voice and call a finance employee to ask for an urgent transfer of funds. Employees often do what the voice says without checking because it sounds real and makes them feel like they have to. Synthetic identities are also used to get around KYC processes, open fake accounts, or get into systems without permission. The hardest part of deepfake attacks is getting people to trust you. People tend to trust what they see and hear, which makes these attacks very effective, even in groups with strong technical controls.