Future-Proofing IoT Security: The Impact of Artificial Intelligence
Amardeep Das, Nibedita Adhikari · 2025
The transformational potential of artificial intelligence (AI) in augmenting the security of Internet of Things (IoT) systems, whose scale and complexity make them increasingly vulnerable, is examined in this chapter. It explores how AI may automate and enhance threat detection, data integrity, and anomaly analysis, addressing the various and ever-changing challenges associated with IoT security. A review of AI-powered solutions, such as predictive analytics for proactive security measures and machine learning models for anomaly detection, is included in the discussion. The efficacy of AI is demonstrated through an analysis of real-world applications in a range of industries, including smart homes, industrial IoT, and healthcare. The chapter also discusses privacy issues, scalability challenges, and the ongoing need for AI systems to evolve, in addition to ethical and legal concerns. The goal of this thorough investigation is to provide stakeholders with knowledge on how to use AI to future-proof IoT environments against evolving threats.