Frost Radar: Fraud Detection and Prevention (Know Your User), 2025

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The fraud detection and prevention (FDP) market has grown significantly, driven by the frequency, sophistication, and volume of fraudulent attacks. The increase in digital transactions as well as companies' digital transformation initiatives have created a large attack surface. Businesses are adopting FDP solutions powered by artificial intelligence and machine learning to protect sensitive data and ensure compliance with regulations, such as the General Data Protection Regulation and Payment Card Industry Data Security Standard. Artificial intelligence and machine learning enhance solution capabilities, offering real-time monitoring and analysis of transactions, pattern identification, biometric authentication, behavioral biometrics, device intelligence, and more.

Know your user (KYU) is an essential component of the FDP framework. The KYU approach utilizes behavioral biometrics and authenticates the claimed identity of the user without identifying who the user is. Variables collected during the user's interaction with the device or application are unique and confirm who users say they are. Some of these variables are mouse activity, keystroke pattern, device angle, typing cadence, geolocation, number of touch events, and mouse travel distance. In conjunction with other data, such as geo-location and device intelligence, FDP systems upon identifying a risk may increase user friction and step up authentication. For good customers, passive and continuous authentication throughout the process contributes to a seamless experience. It also enables enterprises to balance the user experience and security.

Frost & Sullivan analyzes numerous companies in an industry. Those selected for further analysis based on their leadership or other distinctions are benchmarked across 10 Growth and Innovation criteria to reveal their position on the Frost Radar™. The publication presents competitive profiles of each company on the Frost Radar™ considering their strengths and the opportunities that best fit those strengths.

Analyst: Deepali Sathe