2024 年全球应对基于人工智慧的威胁的生物辨识解决方案

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个工作天内

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简介目录

人工智慧在远端认证领域的快速发展推动新威胁因素的转变

本研究探讨了由于远端身分验证人工智慧技术的指数级增长，围绕着人工智慧主导的针对生物识别系统的攻击不断升级的威胁情势。由于生成式人工智慧支援深度造假、欺骗和模拟等先进攻击技术，金融和银行、医疗保健、电子商务和政府组织面临前所未有的身份漏洞。网路犯罪分子正在利用人工智慧的自动化和规模来瞄准生物识别系统保护敏感资讯和交易的关键部门。

随着人工智慧攻击的规模和复杂性不断增长，传统的安全技术已不再足够。由于网路犯罪分子利用深度造假、模拟器和其他先进工具绕过安全防御，企业必须依靠自适应、人工智慧增强的生物识别系统来保护敏感资料和交易。企业必须紧急部署强大的生物识别解决方案来应对人工智慧主导的攻击，以领先于新威胁并在快速发展的威胁环境中增强用户信任。

人工智慧驱动的威胁正在升级，网路犯罪分子利用复杂的深度造假和模拟器来规避生物辨识安全防御。随着这些威胁的增长，生物辨识解决方案必须不断发展，以包含即时监控和自适应功能，例如行为和活动检测，以有效、安全地验证身分。对于组织领导者来说，投资先进的生物辨识技术对于保护敏感资料和交易以及建立公众和合作伙伴的信任至关重要。

本研究概述了这些问题、对策以及如何利用它们。它提供了解决市场监管和技术需求的策略框架，并概述了成长机会。

生长促进因子
成长阻碍因素
什么是基于人工智慧的攻击手法？
基于人工智慧的威胁主要攻击媒介
基于人工智慧的威胁常见攻击模式
基于人工智慧的威胁的数量影响
资讯图表分析
基于生物辨识人工智慧的威胁漏洞和防御
为什么生物辨识系统是重要的防御手段

充满成长机会的世界

成长机会 1：身分的去中心化使用
成长机会 2：人工智慧驱动的攻击增加
成长机会3：监理合规

下一步

成长机会的好处和影响
行动项目和后续步骤
附件清单
免责声明

简介目录

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