About ThreatMetrix
ThreatMetrix is a fraud prevention software from RELX aimed at protecting businesses from digital threats. It combines advanced identity verification, real-time fraud detection, and risk-based authentication so organizations can mitigate fraudulent activities. The platform analyzes user behavior and device information to identify potential risks, thus allowing companies to make informed decisions. ThreatMetrix operates through a network that uses shared intelligence to improve detection accuracy. Key capabilities: identity verification real-time fraud detection risk-based authentication shared intelligence user behavior analysis Best for: organizations that need reliable fraud prevention and identity verification solutions.
LexisNexis® ThreatMetrix® presents itself as a powerful, end-to-end solution for automated risk management, moving far beyond basic fraud checks. Its core strength lies in the combination of a massive, cross-industry Digital Identity Network® and continuously adapting, AI-powered models. This fusion enables the platform to deliver highly accurate, real-time risk decisions across the entire customer journey, including new account opening, logins, and payments. The system's "no code" self-service environment for customizing rules and the availability of expert fraud support are significant advantages, promising flexibility and rapid deployment (often under a day) while ensuring the models remain effective against evolving fraud schemes. However, the software's sophistication implies potential challenges. The heavy reliance on the proprietary network suggests a high premium cost and a degree of vendor lock-in. Furthermore, while the AI provides accuracy, the embedded nature of the models might sacrifice granular transparency compared to fully in-house solutions. Businesses must also be aware that the complexity of integrating a "holistic decision engine" and the constant need to manage data privacy for a global network may require substantial internal resources and expertise.
Pros & Cons
- Provides highly accurate real-time fraud detection powered by machine learning and global data intelligence.
- Covers over 200 countries, giving unmatched global visibility and cross-industry fraud detection capability.
- Reduces false positives by distinguishing legitimate users from fraudsters using behavioral and device intelligence.
- Offers flexibility with no-code model deployment, allowing quick adaptation to evolving fraud schemes.
- Integrates seamlessly with existing systems for account opening, login, and payments without disrupting user experience.
- Requires consistent data quality and volume for best AI and ML performance outcomes.
- Dependence on global data networks can raise data privacy and localization compliance concerns.
- Response times can vary during heavy network loads or high transaction volumes.
- Customization of advanced rules may require expert support or vendor assistance.
- Full utilization often depends on enterprise-grade IT infrastructure.
Features
Key features
Evaluates device, IP, email, geolocation, and behavioral data instantly to detect suspicious activity.
Uses advanced artificial intelligence and machine learning to identify fraud patterns and automate risk decisions.
Leverages one of the world’s largest contributory networks spanning 200+ countries for shared fraud intelligence.
Enables users to create and deploy custom rules and models without programming skills for rapid policy optimization.
Continuously learns from new interactions to refine risk assessments and enhance detection accuracy.
Provides investigation tools, workflow orchestration, and reporting to streamline fraud analysis and resolution.
Captures unique user behavior and device fingerprints to distinguish between genuine users and fraudsters.
Additional features
Identifies devices using unique parameters to detect cloned or compromised devices.
Tracks IP address anomalies, proxy usage, and location mismatches to reveal suspicious logins or activities.
Examines payment details and behavioral patterns in real time to flag high-risk transactions.
Detects synthetic and stolen identity attempts during account creation while approving genuine users.
Monitors logins for abnormal patterns to prevent unauthorized access or credential abuse.
Evaluates frequency, distance, and behavioral irregularities to spot bots and automated attacks.
Continuously trained on billions of data points for improved prediction and risk modeling.
Lets users define rules that align with their business’s specific fraud tolerance and compliance needs.
Connects digital and offline identities using LexisNexis LexID for comprehensive risk profiles.
Uses typing speed, mouse movement, and interaction patterns to identify legitimate users versus bots.
Offers visual insights, reporting, and trend analysis for fraud investigation and performance tracking.
Centralizes case management to enhance collaboration and investigative efficiency.
Updates with global feedback and signals from thousands of customers to stay current with fraud trends.
Provides transparent reasoning behind scores, enabling actionable insights for decision-making.
Operates across multiple geographies, handling billions of transactions securely and efficiently.
Pricing
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Available in
Interface languages
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About ThreatMetrix
ThreatMetrix is a fraud prevention software from RELX aimed at protecting businesses from digital threats. It combines advanced identity verification, real-time fraud detection, and risk-based authentication so organizations can mitigate fraudulent activities. The platform analyzes user behavior and device information to identify potential risks, thus allowing companies to make informed decisions. ThreatMetrix operates through a network that uses shared intelligence to improve detection accuracy. Key capabilities: identity verification real-time fraud detection risk-based authentication shared intelligence user behavior analysis Best for: organizations that need reliable fraud prevention and identity verification solutions.
ThreatMetrix Details
ThreatMetrix's In-App Market Place
Does ThreatMetrix have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), SEK (kr), NOK (kr), DKK (kr), INR (₹), HKD (HK$), KRW (₩), SGD (S$), NZD (NZ$)
Pros & Cons
- Provides highly accurate real-time fraud detection powered by machine learning and global data intelligence.
- Covers over 200 countries, giving unmatched global visibility and cross-industry fraud detection capability.
- Reduces false positives by distinguishing legitimate users from fraudsters using behavioral and device intelligence.
- Offers flexibility with no-code model deployment, allowing quick adaptation to evolving fraud schemes.
- Integrates seamlessly with existing systems for account opening, login, and payments without disrupting user experience.
- Requires consistent data quality and volume for best AI and ML performance outcomes.
- Dependence on global data networks can raise data privacy and localization compliance concerns.
- Response times can vary during heavy network loads or high transaction volumes.
- Customization of advanced rules may require expert support or vendor assistance.
- Full utilization often depends on enterprise-grade IT infrastructure.