Shufti Features

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.

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

Prevents previous committers of fraud from future transactions.

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.

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 identity and access management (IAM) solutions to manage workforce authentication.

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.

The solution uses intelligent algorithms like fuzzy matching to identify potential risks.

Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity).

Score persons and organizations based on their history and risk potential.

Pool data from various sources to auto-populate e-filing of Suspicious Activity Report (SAR) or Currency Transaction Reports (CTR) forms.

Standard workflows to assign workload and to alert users based on predefined triggers.

Manage due dilligence processes such as Customer Due Diligence and Know Your Customer.

Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA.

Compliance with fraud and risk management policies created by the company using the solution.

Create behavior models that can be used to detect suspicious behavior.

Simulate and validate scenarios to address multiple types of risks.

Real-time transaction screening to immediately identify potential risks.

Allows users to segment and manage lists of suspicious persons and organizations.

Evaluate the quality and performance of the anti-money laundering activities.

Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT.

Display suspicious activity by period, risk type, person or organization.

Dashboards to provide real-time data on suspicious transactions, persons, or organizations.

Converts images into a textual description, identifying key elements.

Has integreated AI features to assess and assign risk scores to transactions and customer profiles, enabling prioritized investigations based on potential threat levels.

Uses AI algorithms to identify complex patterns and anomalies in transaction data that may indicate money laundering.

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

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.