Sumsub

The User Verification feature lets companies verify identities by using customizable KYC workflows. It supports ID Verification, Non-Doc Verification, Liveness and Face Match, NFC Verification, Age Verification, Video Identification, Database Checks, and Qualified Electronic Signatures. The feature can verify more than 14,000 document types from 220+ countries and territories, while the workflows can be tailored to different markets and risk requirements.

Sumsub’s ID Verification checks identification documents to confirm their validity and authenticity. It supports various document types and uses OCR to extract data from different scripts, including Arabic, Hindi, and Cyrillic. The feature also includes Non-Doc verification, Database Validation, Auto Capture, Document Liveness, and Fast-Fail checks as part of its verification process.

Corporate registers and ownership records are checked to verify businesses and the people behind them. Sumsub also verifies beneficial owners and directors, while configurable questionnaires are used to collect additional company information. Its business verification workflow can read corporate documents, support manual reviews, and run AML screening against businesses and their owners in more than 220 countries.

During identity checks, Sumsub analyzes facial movements, texture, and depth to confirm that a real person is present. Its liveness technology matches faces with IDs and can also be used for identity confirmation or two-factor authentication. The feature detects deepfakes, lookalikes, masks, photos, videos, and AI-generated avatars by using biometric and pixel-level analysis.

Suspicious activity is identified by analyzing transaction patterns against configurable monitoring rules and risk signals. Sumsub includes 600+ premade rules and allows teams to create custom ones without coding. Its AI-driven anomaly detection can identify unusual patterns beyond standard rules, and flagged transactions can be sent to Case Management for further review.

Device Intelligence analyzes device fingerprints, behavior patterns, and network signals to identify risky activity in real time. It can flag fake or duplicate users, detect multiple accounts linked to the same device or network, and identify suspicious logins, VPNs, and remote access tools. The feature also assigns device and behavior risk scores during signups, transactions, and account changes.