2025 Radar Report on Fraud Detection and Prevention: A Review of Major Players - Accertify, Akamai, AU10TIX, BioCatch, Entrust, Forter, IB, HUMAN Security, Kount, LexisNexis, NICE Actimize, SEON, Signifyd, Sumsub - Provided by ResearchAndMarkets.com
In the ever-evolving landscape of Fraud Detection and Prevention (FDP), a significant focus has been placed on the Know Your User (KYU) segment. This sector emphasizes the utilization of artificial intelligence (AI) and machine learning (ML) to bolster real-time behavioral biometrics and device intelligence.
The primary objective of KYU is to authenticate the claimed user identity based on unique behavioral patterns, such as mouse movement, keystroke dynamics, device orientation, typing cadence, geolocation, and touch events. This approach enables continuous, passive authentication, improving security while maintaining a seamless user experience.
FDP solutions integrate these behavioral insights with geolocation and device data to dynamically adjust authentication friction and prevent fraud. This balance between safety and user convenience is crucial as digital transformation initiatives and the increase in digital transactions have expanded the attack surface for businesses.
Compliance with regulations like GDPR and PCI DSS also drives the adoption of AI-powered KYU systems. Leading the charge in this space is LexisNexis Risk Solutions, recognized as the number one company in both growth and innovation indices by the Frost Radar™ KYU report for 2025. Their offering now includes a suite of AI and ML-driven products, such as Emailage, ThreatMetrix, BehavioSec, and Fraud Intelligence, which leverage globally sourced risk data to drive fraud prevention and behavior analysis at scale.
Other prominent companies in the broader fraud detection and prevention ecosystem incorporating KYU techniques include Accertify, Akamai, AU10TIX, BioCatch, Entrust, Forter, Group-IB, HUMAN Security, Kount (an Equifax company), NICE Actimize, SEON, Signifyd, and Sumsub.
ResearchAndMarkets.com, the world's leading source for international market research reports and market data, has added the report titled "Fraud Detection and Prevention (Know Your User), 2025: A Frost RadarT Report" to its offering. This report provides the latest data on international and regional markets, key industries, top companies, new products, and trends.
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AI and machine learning enhance FDP solution capabilities, offering real-time monitoring, analysis, pattern identification, biometric authentication, behavioral biometrics, device intelligence, and more. As the frequency, sophistication, and volume of fraudulent attacks continue to rise, businesses are adopting FDP solutions powered by artificial intelligence and machine learning to protect sensitive data and ensure compliance with regulations like GDPR and PCI DSS.
- In the realm of digital transformation and increasing digital transactions, the integration of artificial intelligence (AI) and machine learning (ML) technologies in Fraud Detection and Prevention (FDP) solutions, such as those offered by LexisNexis Risk Solutions, provides an essential layer of security and compliance, addressing regulations like GDPR and PCI DSS.
- The continuous growth of fraudulent activities necessitates the use of advanced technologies like AI and ML to bolster FDP solutions, providing real-time monitoring, analysis, pattern identification, biometric authentication, and behavioral biometrics, among other features.
- Amid the expanding attack surface for businesses, key players in the FDP ecosystem like Accertify, Akamai, AU10TIX, BioCatch, Entrust, Forter, Group-IB, HUMAN Security, Kount (an Equifax company), NICE Actimize, SEON, Signifyd, and Sumsub, are embracing Know Your User (KYU) techniques powered by AI and ML, ensuring seamless user experiences while maintaining robust security measures.
