AU10TIX Features

Rates each transaction's risk based on specific factors and their benchmarked scores.

Flags suspicious transactions and either alerts administrators or declines transaction.

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.

Alerts administrators when fraud is suspected or transactions have been declined.

Constantly monitors system to detect anomalies in real time.

Keeps records of geographic location and IP addresses of fraud suspects.

Tags users suspected of committing fraud and identifies them upon return.

Prevents previous committers of fraud from future transactions.

Monitors for and rids systems of bots suspected of committing fraud.

Schedule periodic (weekly, monthly, etc.) checks on existing address data to verify correctness and formatting.

Produce reports and data visualization regarding address verification actions.

Checks address data against an authoritative address database (usually government).

Verify addresses automatically on the data source as new entries are added.

Purge or update incorrect data through corrective processes like fuzzy matching.

Checks address data against authoritative databases from two more more countries.

Provides credential template library.

Offers QR-based workflow for issuing and verifying credentials.

Offers customizable branding on credential wallets.

Integrates with other credential wallets based on open standards.

Connections use open standards such as SAML or RADIS.

Offers developers a mobile software development kit to seamlessly add biometric authentication into their applications.

Integrates with customer identity and access management (ICAM) solutions to manage customer authentication.

Encrypts all data transfers using end-to-end encryption.

Provides audit trails to monitor useage to reduce fraud.

Complies with regulations for strong customer authentication such as KYC, PSD2, and others.

Offers age authentication via methods such as document or identification card verification, telephone number checks, matching against consumer records or other similar methods.

Is primarily used to verify a person's identity online for e-commerce purposes.

Offers age estimation functionality.

Offers integrations or software development kits (SDKs) for websites, applications, mobile apps, point-of-sale (POS) solutions, and kiosks

Is primarily used to verify a person's identity in-person, such as at a bar, restaurant, event venue, or other similar places.

Has a liveness check using selfies or other photograph technology to ensure the person being verified is real.

Converts images into a textual description, identifying key elements.

Supports multi-method identity verification including documents, biometrics, and database cross-checks.

Performs automated document authentication using OCR and AI/ML.

Conducts biometric face matching (selfie-to-ID verification).

Offers identity verification functionality via API, SDK, or hosted interface.

Provides configurable identity verification workflows and logic-based orchestration.

Offers liveness detection to prevent spoofing and presentation attacks.

Generates real-time identity risk scores using AI/ML or rule-based logic.

Detects fraudulent or tampered documents through forensic analysis.

Supports compliance with NIST Identity Assurance Levels (IAL2, IAL3).

Integrates AML, PEP, and sanctions list screening into the identity verification process.

Supports global identity document verification across multiple countries and regions.