Connect Every Fraud Signal to Its AML Outcome

Synthetic identities and deepfakes are designed to clear a single onboarding check and disappear. Shufti's liveness detection holds iBeta Level 3 PAD certification, and its selfie-to-document matching met every performance goal in DHS's 2025 Remote Identity Validation Rally, an independent evaluation only 31% of tested systems passed in full.

Multi-layer facial analysis identifies masks, replay attacks, injection attempts, and AI-generated deepfakes before verification completes. With an independently validated <0.001 False Match Rate and ~99% True Acceptance Rate, genuine users are approved while sophisticated presentation attacks are stopped.

Nine forensic inspection layers analyse document integrity, security features, image manipulation, and template consistency beyond OCR. Processing completes in under 15 seconds with 99.7% OCR accuracy, exposing sophisticated document fraud before approval.

Sanctioned and politically exposed actors slip through loose, name-only matching. Shufti runs sanctions, PEP, and watchlist screening against a biometrically verified identity, cutting false hits while catching the matches that matter.

Biometrically verified identity data strengthens sanctions, PEP, and adverse media screening against 215+ global sanctions regimes and 2.6 million+ PEP records, improving match confidence while reducing unnecessary false positives.

Every potential match carries supporting identity attributes, a confidence score, and source references, so investigators see why an alert fired and how the risk was scored.

A compromised account becomes a mule within minutes, moving funds before fraud and AML teams compare notes. Shufti's transaction monitoring flags high-velocity structured transfers across a network of linked accounts, not just one, and routes the same account into AML review, connecting the fraud event to the laundering outcome.

Behavioural analytics combine linked identities, shared devices, IP addresses, and transaction history across 1,600+ enriched data points, with decision latency under 500 milliseconds.

High-risk accounts route directly into analyst review, carrying linked fraud signals and AML evidence into the same case, so investigators start with full context instead of a blank queue.

Investigations collapse when the evidence trail has to be reconstructed by hand, and a regulator expects a filed report, not a folder of screenshots. Shufti logs every alert, decision, and analyst action in one case file, so compliance teams can move from a flagged account to a SAR/STR-ready filing without rebuilding the evidence by hand.

Every alert, analyst action, review step, approval, and escalation is automatically timestamped, creating a complete audit trail that preserves every decision from the first alert to final resolution.

Identity verification, fraud alerts, AML screening results, analyst notes, and supporting evidence remain linked inside a single case file, eliminating manual evidence collection during investigations.