ThreatMetrix: Automated Risk Management & Fraud Detection
ThreatMetrix helps organizations identify risky digital interactions. It is designed for teams that need to protect account openings and payments using a cross-industry data network.
At a glance
- Category
- Security
- Best for
- Financial Institutions, Government Agencies, Healthcare Organizations, Insurance Providers, Corporations
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- New Account Opening, Logins and Account Management, Payment Protection, Bonus and Promotion Abuse
- Integrations
- API, SDK
- Official website
- threatmetrix.com
ThreatMetrix is an automated risk management platform delivered through the LexisNexis Dynamic Decision Platform. It evaluates digital footprints by analyzing signals such as device IDs, geolocation, IP addresses, and behavioral patterns against a network of digital identity data.
Key Features
Evaluates digital footprints against a network of over 3 billion digital identities to support risk assessment.
Analyzes user interactions and behavioral patterns, incorporating technology from LexisNexis BehavioSec.
Uses machine learning algorithms trained on global transaction data to help distinguish between trusted users and bad actors.
Monitors transaction details and signals in real time to help identify anomalies and fraud patterns.
Provides a self-service interface for combining algorithms and customized rulesets.
Use Cases
Supports the detection of bot attacks and new account fraud during the application process.
Helps identify potential account takeover attempts and unauthorized detail changes.
Analyzes transaction anomalies to help detect money mules, scams, and money laundering.
Supports the identification of patterns associated with the exploitation of customer incentives.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is the process of unifying device, location, and behavior data with historical patterns to help distinguish legitimate users from fraudsters.
ThreatMetrix uses tokenization, hashing, and anonymization to protect PII and is designed to support compliance with regulations like GDPR and CCPA.
The platform collects signals passively in the background, which is designed to maintain a smooth experience for trusted users.
Source category: Security
Source subcategory: Cybersecurity
