The identity fraud attacks costing businesses the most right now.
Synthetic Identity Fraud
AI-constructed identities combining real SSNs with fabricated personal data — designed to pass credit and onboarding checks. VerifiNow’s biometric binding makes synthetic identities unverifiable: there’s no real person to match.
Deepfake & AI Face Attacks
AI-generated facial video deployed against biometric verification systems. VerifiNow’s 3D active liveness detection analyzes depth, texture, and micro-movement — defeating video replay, 3D masks, and real-time face swaps.
Account Takeover
Fraudsters using stolen credentials, social engineering, or SIM-swap attacks to hijack accounts. Step-up biometric re-verification at sensitive actions confirms the account holder is present — not an attacker with a password.
Document Forgery
Sophisticated fake IDs that defeat visual inspection and basic OCR. AAMVA barcode validation and ICAO MRZ parsing confirm documents against DMV and passport issuing authority data.
Impersonation & Mule Accounts
Real people paid to open accounts, take tests, or complete transactions on behalf of fraudsters. Biometric binding to verified identity detects substitution at any stage of a workflow.
First-Party Application Fraud
Legitimate identity used to apply for products or benefits with no intent to repay or comply. Employment and income verification bound to a confirmed identity catches fabricated financial profiles.
Address, email, and phone validation — bound to a verified identity.
Fraud doesn’t just happen through fake faces and documents. Bad actors also use invalid contact data, disposable email addresses, and VoIP numbers to obscure their tracks. VerifiNow’s Customer Intelligence layer validates every data point and binds it to a confirmed identity.
Address Validation
Real-time address verification against USPS and international postal data. Detects non-deliverable addresses, PO box fraud, and addresses inconsistent with ID document data.
Email Validation
Mailbox-level validation confirming deliverability, detecting disposable and temporary email providers, and flagging domain risk signals associated with fraud patterns.
Phone Validation
Line type identification (mobile, landline, VoIP), carrier validation, and SIM-swap risk scoring — flags numbers associated with account takeover and social engineering attacks.