Foundations of artificial intelligence and IoT in security
Avula Mahathi, C. Kishor Kumar Reddy, Thakur Monika Singh, Srinath Doss · 2025
Security paradigms in smart environments have changed as a result of the combination of artificial intelligence (AI) and the internet of things (IoT). The fundamental ideas of AI and IoT are examined in this chapter, along with how they operate together to improve security systems. Advanced systems can precisely and scalable handle new security risks by utilizing machine learning algorithms, real-time data analysis, and networked IoT devices. The interplay between AI and IoT, their uses in identifying and addressing vulnerabilities, and the difficulties in guaranteeing data integrity, privacy, and dependability in ecosystems that are becoming more networked are some of the main topics of debate. The chapter also explores how AI is used in predictive threat modeling and how IoT can offer constant monitoring and management. It looks at case studies that demonstrate how well AIoT systems work in important industries like industrial automation, healthcare, and finance. The conversation also emphasizes how crucial ethical issues and legal frameworks are to guaranteeing the prudent application of AI and IoT in security. This introduction lays the groundwork for comprehending how AIoT might redefine contemporary security governance while tackling implementation and scalability issues.