Frost Radar：FDP（詐欺偵測與預防）KYU（了解你的用戶），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個工作天內

價格

簡介目錄

基準化分析系統激勵主要企業－創新推動新的交易流程和成長管道

詐欺偵測與預防 (FDP) 市場正經歷顯著成長，這主要得益於詐欺攻擊的頻率、複雜性和數量。數位交易的成長和企業數位轉型的努力，創造了巨大的攻擊面。為了保護敏感資料並確保遵守《一般資料保護規則》和《支付卡產業資料安全標準》等法規，企業正在採用基於人工智慧和機器學習的 FDP 解決方案。人工智慧和機器學習增強了解決方案的功能，提供對交易的即時監控和分析、模式識別、生物識別、行為生物生物識別、設備智慧等功能。

了解你的使用者 (KYU) 是 FDP 框架的重要組成部分。 KYU 方法利用行為生物識別來驗證使用者聲稱的身份，而無需識別使用者身份。在使用者與裝置和應用程式互動期間收集的變數是唯一的，並支援使用者聲稱的身份。這些變數包括滑鼠操作、按鍵模式、裝置角度、打字節奏、地理位置、觸控事件次數、滑鼠移動距離等等。結合地理位置和裝置智慧等其他數據，FDP 系統可以偵測風險、提升使用者體驗並強化身分驗證。對於忠實客戶，在整個過程中進行被動且持續的身份驗證有助於提供無縫的體驗。它還能幫助企業平衡使用者體驗和安全性。

Frost & Sullivan 會分析同一產業內大量的公司。我們根據領導力或其他卓越表現篩選出需要進一步分析的公司，並根據 10 項成長和創新標準對其進行基準測試，最終揭示其在 Frost Radar™ 上的排名。我們會在 Frost Radar™ 上為每家公司提供一份競爭概況，探討每家公司的優勢以及最契合這些優勢的機會。

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