Digital Fraud Defender is a suite of AI-driven identity fraud detection capabilities from Mitek Systems, designed to detect and counter generative AI-enabled identity fraud tactics. The product addresses three primary attack vectors: - **Injection Attack Detection:** Identifies AI-generated images or videos injected into identity verification (IDV) systems via virtual cameras or emulators to simulate live presence. - **Template Attack Detection:** Detects fraudulent ID documents generated using AI, including fake holograms, fonts, and security features, even when paired with accurate personal information. - **Deepfake Attack Detection:** Identifies deepfake media used to create or alter identities to bypass identity verification checks. The solution is designed to protect multiple stages of the customer lifecycle, including account opening, account login, and high-risk transactions. It incorporates biometric matching, face liveness detection, and adaptive learning models to detect subtle inconsistencies associated with synthetic identities and AI-generated documents. For account takeover (ATO) prevention, the product reinforces authentication and re-verification processes using biometric matching, advanced liveness detection, and GenAI-powered fraud detection. It also supports step-up identity verification at critical points such as high-risk transactions and account recovery. The system is intended for banks and enterprises seeking to counter synthetic identity fraud, fraudulent account openings, and account takeovers driven by generative AI tactics.