Secure Authentication and Identity Management With AI
Derek Mohammed, Helen MacLennan · Advances in computational intelligence and robotics book series · 2025
Secure authentication and identity management are critical components of modern cybersecurity, ensuring that only authorized users gain access to sensitive systems and data. Traditional authentication methods, such as passwords and multi-factor authentication, face increasing challenges due to sophisticated cyber threats, credential theft, and user experience limitations. Recent advancements in artificial intelligence (AI), particularly deep learning and large language models (LLMs), have revolutionized authentication mechanisms by enhancing security, accuracy, and adaptability. AI-driven authentication systems leverage biometric recognition, behavioral analysis, and anomaly detection to improve identity verification and fraud prevention. Additionally, federated learning and decentralized identity frameworks provide robust solutions for privacy-preserving authentication. This chapter explores the integration of AI in secure authentication and identity management, discussing its benefits, challenges, and future research directions.