Stop Coordinated Fraud Before It Gets Approved

Fraudsters inject pre-recorded or synthetic video through virtual cameras. Shufti detects virtual cameras, emulators, and deepfake streams before they enter the pipeline.

Injected feeds reach biometric checks unscreened in most stacks. Shufti validates the camera source is real before any biometric scan begins.

If a fake feed gets through, every layer after it processes fraudulent input. Shufti blocks at capture so no compromised data reaches document, device, or biometric analysis

Fraudsters use device emulators, residential proxies, and spoofed browsers to look legitimate. Shufti analyses device, browser, IP, network type, and geolocation signals in real time.

A datacenter IP or mismatched timezone means nothing in isolation. Shufti correlates session-level signals together to spot access patterns that individual checks miss.

Flagging every VPN or unusual device punishes real users. Shufti scores network risk contextually , a VPN with clean signals everywhere else stays low risk.

Professionally printed PVC cards and high-quality edits look authentic to standard checks. Shufti examines metadata, security features, and image-level patterns, not just how the document looks.

Fraudsters photograph screens or scan printed copies to bypass capture checks. Shufti detects moiré patterns, compression artifacts, and recapture signatures at the pixel level.

AI-generated IDs are improving fast. Shufti checks how the document was captured and presented, not just what's on it closing the gap synthetic generators exploit.

AI-generated faces now clear single-frame liveness checks. Shufti combines active and passive liveness with biometric matching to verify the real person is present.

Fraudsters record genuine users and replay the video later. Shufti detects replay signatures, screen edges, and temporal inconsistencies that separate live presence from recorded footage.

3D masks and presentation attacks adapt to beat static defenses. Shufti runs multi-layered presentation attack detection aligned to iBeta level 3 certification standards.