AI and identity security: The threat of deepfakes and the future of authentication

Khaund, Bhaskardeep (2025) AI and identity security: The threat of deepfakes and the future of authentication. World Journal of Advanced Engineering Technology and Sciences, 15 (3). pp. 2094-2101. ISSN 2582-8266

This article examines the profound security challenges posed by deepfake technology to identity verification systems and explores emerging defensive frameworks designed to counter synthetic media threats. As artificial intelligence enables the creation of increasingly convincing synthetic representations of individuals, traditional authentication mechanisms based on biometric recognition face unprecedented vulnerabilities across financial institutions, government infrastructure, and online service providers. The evolution of deepfake capabilities from crude early implementations to sophisticated, hyper-realistic synthetic media has democratized access to powerful identity deception tools, fundamentally altering the threat landscape for security professionals. This comprehensive article explores the technical foundations of deepfake creation, documents vulnerabilities in current authentication systems, and catalogs the sectors facing heightened risk from synthetic identity manipulation. The article presents a roadmap for resilient identity security in an era of synthetic media. The future of authentication will likely emerge from the ongoing technological competition between increasingly sophisticated deepfake generation and detection capabilities, requiring a fundamental shift from static verification events to continuous, multi-modal authentication processes that combine cryptographic certainty with behavioral analysis while preserving privacy through innovative protocols.