Requires verification of credit card, debit card, and money transfers prior to accepting payments
Bot Mitigation
Monitors for and rids systems of bots suspected of committing fraud.
Real-Time Monitoring
Constantly monitors system to detect anomalies in real time.
Alerts
Alerts administrators when fraud is suspected or transactions have been declined.
Analysis (3)
ID Analytics
Stores data from external or internal sources related to fake accounts, evaluating users for risk.
Intelligence Reporting
Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.
Incident Reports
Produces reports detailing trends and vulnerabilities related to payments and fraud.
Administration (6)
Fraud Markers
Tags users suspected of committing fraud and identifies them upon return.
Transaction Scoring
Rates each transaction's risk based on specific factors and their benchmarked scores.
Blacklisting
Prevents previous committers of fraud from future transactions.
Encryption
Encrypts all data transfers using end-to-end encryption.
Audit Trails
Provides audit trails to monitor useage to reduce fraud.
Regulatory Compliance
Complies with regulations for strong customer authentication such as KYC, PSD2, and others.
Integration (4)
Uses Open Standards
Connections use open standards such as SAML or RADIS.
Mobile SDK
Offers developers a mobile software development kit to seamlessly add biometric authentication into their applications.
Workforce Authentication
Integrates with identity and access management (IAM) solutions to manage workforce authentication.
Customer Authentication
Integrates with customer identity and access management (ICAM) solutions to manage customer authentication.
Process Automation (4)
Onboarding Flow Management
Orchestrates customer journey via customizable workflows.
E-Signature
Contains e-signature functionality.
Data Capture
Captures customer data through digital forms.
Auto-Capture
Uses OCR to scan customer documents, extract data, and auto-fill forms using the extracted data.
Identity Verification (3)
ID Scanning
Scans and verifies customer identification documents.
KYC
Runs KYC checks on customers using information gathered in the application.
Credit Check
Checks customer credit information.
Fraud Detection (4)
Name Matching
The solution uses intelligent algorithms like fuzzy matching to identify potential risks.
Watch List
Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity).
Scoring
Score persons and organizations based on their history and risk potential.
Workflows and Alerts
Standard workflows to assign workload and to alert users based on predefined triggers.
Compliance (3)
Due Dilligence
Manage due dilligence processes such as Customer Due Diligence and Know Your Customer.
Regulations and Jurisdictions
Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA.
Internal Policies
Compliance with fraud and risk management policies created by the company using the solution.
Monitoring (5)
Models
Create behavior models that can be used to detect suspicious behavior.
Simuation
Simulate and validate scenarios to address multiple types of risks.
Transaction Monitoring
Real-time transaction screening to immediately identify potential risks.
Segmentation
Allows users to segment and manage lists of suspicious persons and organizations.
QA
Evaluate the quality and performance of the anti-money laundering activities.
Reporting (3)
Compliance Reports
Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT.
Suspicious Activity
Display suspicious activity by period, risk type, person or organization.
Real-Time Dashboards
Dashboards to provide real-time data on suspicious transactions, persons, or organizations.
Generative AI - Anti Money Laundering (2)
Risk Scoring
Has integreated AI features to assess and assign risk scores to transactions and customer profiles, enabling prioritized investigations based on potential threat levels.
Pattern Recognition
Uses AI algorithms to identify complex patterns and anomalies in transaction data that may indicate money laundering.
Agentic AI - Anti Money Laundering (2)
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Fraud Detection (3)
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Digital Customer Onboarding (1)
Decision Making
Makes informed choices based on available data and objectives
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