As data breaches proliferate and AI-driven fraud tactics rapidly evolve, businesses are increasingly vulnerable to sophisticated fraud schemes that pose serious threats to their portfolios and operational integrity.
Fraudsters now exploit automation and advanced impersonation techniques to execute complex, multi-layered attacks—making detection and prevention significantly more challenging.
Using tailored AI-driven scores and 300+ attributes, we help organizations uncover subtle manipulations, assess risk precisely and distinguish trusted consumers from bad actors—without adding friction. Built on responsible AI, deep data expertise and one of the world’s largest identity networks, LexisNexis® Fraud Intelligence transforms complex data into transparent, high-performing fraud detection.
Continuous consortium feedback strengthens protection and drives lasting ROI, while helping organizations enhance fraud detection, increase profits and operational efficiency, improve consumer experiences and remain compliant.
Highly connected fraud networks are leveraging digital channels to test and perfect their methods. Fraudsters exploit data breaches and stolen PII to create accounts or manipulate existing ones, putting businesses at risk.
Organizations must manage these risks efficiently while maintaining a seamless experience for trusted customers. Delays or friction can frustrate consumers and divert operational resources.
Protect your business, customers and reputation with smarter identity verification and fraud risk assessment powered by Fraud Intelligence Third-Party Scores.
The Fraud Intelligence Third-Party Scores deliver a three-digit numeric risk score predicting the likelihood an application or account interaction involves fraud, with higher scores indicating greater risk. Each score is paired with actionable warning codes that highlight the key factors behind the risk, helping teams make informed decisions while reducing false positives.
Scores are generated by analyzing fraud patterns and profile inconsistencies across the LexisNexis® Inquiry Identity Network and thousands of public and proprietary sources, providing a comprehensive, real-time view of potential threats.
Fraud Intelligence Third-Party Scores integrates seamlessly into workflows via Direct API, the LexisNexis® Dynamic Decision Platform or batch processing.
Fraudsters are moving beyond traditional identity theft, using real consumer data to manipulate or create identities for account bust-outs, chargeback abuse and synthetic identity fraud, which are difficult to detect because they involve legitimate information.
Fraud Intelligence Identity Misuse Scores combine risk scoring, real-time identity analysis and cross-industry insights to quickly uncover misuse, helping teams focus on high-risk accounts, reduce false positives and protect genuine customers without slowing operations.
The Fraud Intelligence Identity Misuse Scores help organizations quickly detect identity manipulation, misuse and synthetic fraud at new account opening and during portfolio management. It delivers a clear, three-digit risk score that turns complex identity signals into actionable insights.
Powered by authoritative identity data, consumer inquiries and key attributes enhanced by patented data linking and responsible AI, the solution analyzes signals such as PII velocity and historical account activity to uncover inconsistencies and suspicious patterns.
By leveraging cross-industry intelligence and billions of data points, the Identity Misuse Score helps prevent consumers who knowingly misrepresent their identity from accessing services, reduce fraud losses, minimize false positives and deliver a more trusted experience for legitimate customers.
Fraud Intelligence Identity Misuse Scores integrates seamlessly into workflows via Direct API, the LexisNexis® Dynamic Decision Platform or batch processing.
Synthetic identity fraud occurs when fraudsters combine real and fabricated information to create a new, convincing persona. These synthetic identities often mimic thin- or no-file consumers, making them extremely difficult to detect with traditional fraud models.
Since there is no true victim to report the fraud, synthetic schemes often go unnoticed until significant financial and operational damage has occurred. Organizations risk rising losses, increased false positives and strained resources if they fail to detect these sophisticated fraud attempts.
Prioritize high-risk applications and act quickly on actionable warning codes to improve efficiency and decision-making confidence. The complexity and stealth of synthetic identity fraud make it a critical challenge for businesses seeking to protect revenue, maintain customer trust and ensure operational efficiency.
The Fraud Intelligence Synthetic Fraud Score helps organizations detect identities that combine real and fabricated information, often mimicking thin- or no-file consumers. It delivers a clear, three-digit risk score with up to six ranked warning codes, highlighting the specific indicators behind the synthetic behavior and giving teams actionable insights while reducing false positives.
Using 170+ identity characteristics and life events, the solution spots subtle inconsistencies—like mismatched SSNs, names, emails or phone numbers—that often evade traditional fraud models. Cross-industry insights enhance detection, helping organizations prevent synthetic identity fraud before accounts are opened or manipulated. Delivered in milliseconds, the score enables confident real-time decisions while keeping trusted customers moving.
Fraud Intelligence Synthetic Score integrates seamlessly into workflows via Direct API, the LexisNexis® Dynamic Decision Platform or batch processing.
LexisNexis® Fraud Intelligence Attributes delivers 300+ cross-industry, model-ready data points that give organizations unprecedented visibility into applicant identities and account behavior.
By analyzing identity characteristics, life events and application activity in real time, these attributes help teams uncover subtle fraud signals, assess risk precisely and focus on high-risk applicants without disrupting legitimate customers.
Built for seamless integration into internal models, policy rules and manual reviews, these insights enhance fraud detection and reduce false positives.
They support sophisticated predictive analytics across the customer lifecycle while promoting operational efficiency and regulatory compliance.
Fraud Intelligence Attributes deliver the insights you need to quickly assess risk and protect your profits without causing undue friction for trusted customers.
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