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Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering

Annals of Computer Science and Information Systems, Volume 42

Harnessing AI for Enhanced Identity Management: Addressing Cybersecurity Challenges in the Digital Age

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DOI: http://dx.doi.org/10.15439/2024R34

Citation: Proceedings of the 2024 Ninth International Conference on Research in Intelligent Computing in Engineering, Vijender Kumar Solanki, Tran Duc Tan, Pradeep Kumar, Manuel Cardona (eds). ACSIS, Vol. 42, pages 71–77 ()

Full text

Abstract. The integration of Artificial Intelligence (AI) into cybersecurity has significantly advanced identity management, particularly in combating Account Takeover (ATO) and enhancing digital security. Traditional cybersecurity methods often fail to keep up with the dynamic nature of cyber threats, necessitating advanced AI-driven solutions to effectively protect digital identities. This article explores the transformative impact of AI on identity management within the cybersecurity field, focusing on its benefits, challenges, and future potential. A comprehensive review of current literature and empirical findings was conducted, analyzing the application of AI through machine learning, deep learning, and neural networks. The results highlight AI's capability to enable real-time anomaly detection, proactive defense mechanisms, and enhance the resilience of identity protection systems. AI-powered systems exhibit significant advantages in adapting to evolving security threats by providing real-time analysis and understanding the contextual nuances of user behavior. These systems effectively mitigate risks associated with unauthorized access, thereby strengthening overall cybersecurity posture. Key findings emphasize AI's continuous learning from emerging attack tactics, its role in the interpretability of security incidents, and the importance of collaborative frameworks between AI systems and human experts. Addressing challenges such as ethical considerations, algorithmic biases, and the need for transparency remains critical for the ethical deployment and successful integration of AI in cybersecurity.

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