Deepfake Detection

Shufti provides robust identity verification by identifying fabricated faces, face swaps, synthetic identities, and document forgeries. Its advanced capabilities include: * Reads skin texture, motion, lighting, and depth irregularities * Detects digital fingerprints unique to generative methods * Maintains accuracy after compression, screenshots, and metadata stripping * Employs a three-layer verification process: capture integrity, liveness, and forensics * Catches generated IDs and splicing that traditional OCR misses This system moves beyond basic image scanning by utilizing over 40 ensemble models to thoroughly analyze visual data. It meticulously examines subtle cues that indicate manipulation, ensuring a high level of security and trust in digital interactions. The technology is designed to be resilient against various tampering attempts, delivering consistent results even when source quality is degraded. Achieving iBeta Level 3 conformance with 0% APCER and 0% BPCER, Shufti delivers exceptional reliability in preventing fraud and verifying genuine identities. It's an essential tool for organizations requiring stringent identity assurance, such as financial institutions, government agencies, and online platforms, helping them combat sophisticated impersonation and document fraud.