LexisNexis® ThreatMetrix®
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LexisNexis® ThreatMetrix®
Additional Info
| Company | LexisNexis® Risk Solutions |
| Website | risk.lexisnexis.com |
| Company size (employees) | 5,000 to 9,999 |
| Headquarters Region | North America |
| Type of solution | Hybrid |
Overview
LexisNexis® Risk Solutions delivers end-to-end financial services technologies and tools to keep valuable digital transactions in efficient motion by effectively mitigating risk to protect critical revenue streams. Its solutions combine the advantages of innovative analytics and big data technology, expansive physical, digital and behavioral identity intelligence.
LexisNexis® ThreatMetrix® is an enterprise solution for digital identity intelligence and digital authentication that is trusted by over 5,000 leading global brands, including financial institutions, to inform daily transaction decisions. By combining digital identity insights built from billions of transactions with leading analytic technology and embedded machine learning, our fraud prevention solutions unify decision analytics across the entire customer journey to help:
• Accelerate conversions and maximize revenue
• Improve transaction security and refine personalization
• Minimize friction and reduce false positives
• Reduce abandoned transactions with online payment fraud detection
• Detect and prevent more fraud
ThreatMetrix® connects businesses to proven machine learning risk management intelligence to help the business fully understand the digital DNA of users so it can spot suspicious behavior in real time and make well-informed trust and risk decisions. This keeps valuable transactions in efficient motion while maximizing the effectiveness of critical fraud defenses and cybersecurity risk management processes with this dynamic, end-to-end decisioning platform.
ThreatMetrix was launched in 2005 and acquired by LexisNexis Risk Solutions in 2018. LexisNexis ThreatMetrix was launched in 2019, which combined digital identity insights from ThreatMetrix with leading analytic technology and embedded machine learning from LexisNexis Risk Solutions to create a fraud prevention solution that unifies decision analytics across the customer journey.
How we are different
• LexisNexis ThreatMetrix establishes precise identity trust by uniting digital, physical and behavioral identity attributes to help allow a business to confidently differentiate between a trusted customer and a cyber threat in milliseconds. By combining the integral components of LexID® Digital and insights from billions of transactions from the LexisNexis® Digital Identity Network®, LexisNexis ThreatMetrix delivers powerful insights to help quickly answer critical questions across the customer lifecycle:
o New Account Origination – Is this a legitimate customer or fraudster?
o Account Logins - How can I authenticate the account with minimal friction?
o Payment Fraud Management – Are there any abnormal patterns in this transaction?
• The Digital Identity Network uses industry-leading analytic technology and machine learning to aggregate tokenized intelligence related to high-risk behavior, including logins, payments and new account creations from globally contributed transactions from a diverse cross-section of industries. With perspective across multiple industries including, e-commerce, financial services, telecom and gaming, the Digital Identity Network increases in data and relevance with each contributory transaction. This helps to inform and strengthen an immediate response to today’s rapidly emerging networked fraud threats.
• Launched in 2020, LexisNexis® Behavioral Biometrics can also be layered within a ThreatMetrix solution. Behavioral Biometrics delivers informed insights into the patterns and preferences behind trusted relationships to help enable a system to quickly recognize digital behavioral anomalies that signal fraud. This seamlessly supports a multi-factor fraud defense without adding friction by leveraging targeted visibility into risk signals that indicate unusual interactions associated with bots and aggregators.
