2024 年全球應對基於人工智慧的威脅的生物辨識解決方案

Biometric Solutions to Combat AI-based Threats, Global, 2024

出版日期: 2024年12月05日 | 出版商:

Frost & Sullivan | 英文 31 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

人工智慧在遠端認證領域的快速發展推動新威脅因素的轉變

本研究探討了由於遠端身分驗證人工智慧技術的指數級成長，圍繞著人工智慧主導的針對生物識別系統的攻擊不斷升級的威脅情勢。由於生成式人工智慧支援深度造假、欺騙和模擬等先進攻擊技術，金融和銀行、醫療保健、電子商務和政府組織面臨前所未有的身份漏洞。網路犯罪分子正在利用人工智慧的自動化和規模來瞄準生物識別系統保護敏感資訊和交易的關鍵部門。

隨著人工智慧攻擊的規模和複雜性不斷成長，傳統的安全技術已不再足夠。由於網路犯罪分子利用深度造假、模擬器和其他先進工具繞過安全防禦，企業必須依靠自適應、人工智慧增強的生物識別系統來保護敏感資料和交易。企業必須緊急部署強大的生物識別解決方案來應對人工智慧主導的攻擊，以領先於新威脅並在快速發展的威脅環境中增強用戶信任。

人工智慧驅動的威脅正在升級，網路犯罪分子利用複雜的深度造假和模擬器來規避生物辨識安全防禦。隨著這些威脅的成長，生物辨識解決方案必須不斷發展，以包含即時監控和自適應功能，例如行為和活動檢測，以有效、安全地驗證身分。對於組織領導者來說，投資先進的生物辨識技術對於保護敏感資料和交易以及建立公眾和合作夥伴的信任至關重要。

本研究概述了這些問題、對策以及如何利用它們。它提供了解決市場監管和技術需求的策略框架，並概述了成長機會。

生長促進因子
成長阻礙因素
什麼是基於人工智慧的攻擊手法？
基於人工智慧的威脅主要攻擊媒介
基於人工智慧的威脅常見攻擊模式
基於人工智慧的威脅的數量影響
資訊圖表分析
基於生物辨識人工智慧的威脅漏洞和防禦
為什麼生物辨識系統是重要的防禦手段

充滿成長機會的世界

成長機會 1：身分的去中心化使用
成長機會 2：人工智慧驅動的攻擊增加
成長機會3：監理合規

下一步

成長機會的好處和影響
行動項目和後續步驟
附件清單
免責聲明

簡介目錄

Product Code: KAFE-23

Exponential AI Growth in Remote Authentication Is Driving Transformational Growth in New Threat Actors

This study delves into the escalating threat landscape surrounding AI-driven attacks on biometric systems, driven by the exponential growth of AI technologies for remote authentication. As generative AI enables sophisticated attack methods, such as deepfakes, spoofing, and emulation, organizations across finance and banking, healthcare, e-commerce, and government are facing unprecedented identity verification vulnerabilities. Cybercriminals are capitalizing on AI's automation and scale, targeting critical sectors where biometric systems protect sensitive information and transactions.

With AI-powered attacks growing in scale and sophistication, traditional security methods are no longer sufficient. As cybercriminals leverage deepfakes, emulators, and other advanced tools to bypass security defenses, investing in adaptive, AI-enhanced biometric systems is critical for businesses to protect sensitive data and transactions. Companies must urgently adopt robust biometric solutions that combat AI-driven attacks to stay ahead of emerging threats and strengthen user trust in the rapidly evolving threat landscape.

AI-powered threats are escalating, with cybercriminals exploiting sophisticated deepfakes and emulators to bypass biometric security defenses. As these threats multiply, biometric solutions must evolve to include real-time monitoring and adaptive features, such as behavioral and liveness detection, to effectively secure identity verification. For organizational leaders, investing in advanced biometric technologies is crucial to safeguarding sensitive data and transactions and building public and partner trust.

This study outlines challenges and how to counteract and capitalize on them. It provides a strategic framework to address the market's regulatory and technological demands and outlines growth opportunities.

Growth Opportunities: Research Scope

Scope of Analysis

Strategic Imperatives

Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Biometric Authentication Industry