Free and Transparent: How Open-Source Deepfake Detection Escapes the Black Box

With deepfake fraud exceeding $860 million in 2024, expensive commercial solutions limit accessibility for most organizations. This open-source detector prioritizes explainability through a 9-signal architecture where each detection rule is transparent and improvable—critical for compliance and debugging compared to opaque neural networks. The system runs on standard CPU infrastructure without GPUs, making enterprise-grade deepfake protection truly accessible.