Deepfake case study · Multi-modal
public figures, private citizens, organizations deepfake (Apr 2025)
Deepfake-enabled fraud caused $200 million in financial losses in Q1 2025. Top uses include non-consensual explicit content, scams and fraud, political manipulation and misinformation. Video deepfakes lead at 46%,…
- Incident date
- Apr 2025
- Target
- public figures, private citizens, organizations
Updated May 6, 2026 · 1 min read
Deepfake-enabled fraud caused $200 million in financial losses in Q1 2025. Top uses include non-consensual explicit content, scams and fraud, political manipulation and misinformation. Video deepfakes lead at 46%, followed by images at 32% and audio at 22%. Voice cloning requires only 3-5 seconds of audio.