CYBERSECURITY STANDARDS FOR EMERGING TECHNOLOGIES (AI, IOT, BLOCKCHAIN)

New advances like AI, the Internet of Things, and Blockchain are pushing significant changes in different fields, but they also bring challenging cybersecurity problems.Because these technologies work in ever-changing settings, the usual ways of securing systems and processes do not always keep up with new risks.This research paper focuses on how well the cybersecurity guidelines set by NIST, ISO, and CIS stack up against the new challenges brought by technology.The research paper highlights significant security issues like malicious actors attacking AI systems, hacking into IoT gadgets, and problems with Blockchain's agreement process.Then, it connects these problems to the regulations already in place.By examining the evidence, it becomes clear that these structures fall short in flexibility and ability to merge effectively despite offering solid starting points.This shortfall hinders their capacity to safeguard new technological advancements, particularly within closely linked networks.The research paper points out that there are missing pieces in critical areas.These include the clarity of how AI makes decisions, the overseeing of IoT from beginning to end, and the rules around Blockchain.The research paper highlights a pressing requirement for strategies that are ahead of the curve, tailored to specific technologies, and can adapt quickly.