bc556b61902ae3de06-7b1b 20240620065353726 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 06 30 2024 13 7 Department of Computer Science, University of Massachusetts Amherst, Sunnyvale, United States. Nitin Srinivasan https://orcid.org/0009-0001-6472-4441 The Internet of Things (IoT) has revolutionized various industries, but its rapid expansion has also exposed a vast attack surface, making it vulnerable to cyber threats. Traditional cybersecurity measures often struggle to keep pace with the dynamic and diverse nature of IoT devices. Artificial Intelligence (AI) has emerged as a powerful tool in cybersecurity, offering the potential to revolutionize threat detection, anomaly detection, intrusion prevention, and secure authentication in IoT environments. This review paper explores the latest advancements in AI techniques for IoT security, discusses the challenges and limitations of existing approaches, and highlights future research directions. By examining the intersection of AI and IoT security, this review aims to contribute to developing more effective and resilient cybersecurity solutions for the ever-expanding IoT landscape. 06 30 2024 14 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) No, I did not receive. No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. I am only the sole author of the article. 10.35940/ijitee.G9911.13070624 https://www.ijitee.org/portfolio-item/G991113070624/