Frost Radar：FDP（诈欺侦测与预防）KYU（了解你的用户），2025年

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

出版日期: 2025年05月26日 | 出版商:

Frost & Sullivan | 英文 28 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录

基准化分析系统激励主要企业－创新推动新的交易流程和成长管道

诈欺侦测与预防 (FDP) 市场正经历显着成长，这主要得益于诈欺攻击的频率、复杂性和数量。数位交易的成长和企业数位转型的努力，创造了巨大的攻击面。为了保护敏感资料并确保遵守《一般资料保护规则》和《支付卡产业资料安全标准》等法规，企业正在采用基于人工智慧和机器学习的 FDP 解决方案。人工智慧和机器学习增强了解决方案的功能，提供对交易的即时监控和分析、模式识别、生物识别、行为生物生物识别、设备智慧等功能。

了解你的使用者 (KYU) 是 FDP 框架的重要组成部分。 KYU 方法利用行为生物识别来验证使用者声称的身份，而无需识别使用者身份。在使用者与装置和应用程式互动期间收集的变数是唯一的，并支援使用者声称的身份。这些变数包括滑鼠操作、按键模式、装置角度、打字节奏、地理位置、触控事件次数、滑鼠移动距离等等。结合地理位置和装置智慧等其他数据，FDP 系统可以侦测风险、提升使用者体验并强化身分验证。对于忠实客户，在整个过程中进行被动且持续的身份验证有助于提供无缝的体验。它还能帮助企业平衡使用者体验和安全性。

Frost & Sullivan 会分析同一产业内大量的公司。我们根据领导力或其他卓越表现筛选出需要进一步分析的公司，并根据 10 项成长和创新标准对其进行基准测试，最终揭示其在 Frost Radar™ 上的排名。我们会在 Frost Radar™ 上为每家公司提供一份竞争概况，探讨每家公司的优势以及最契合这些优势的机会。

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