Artificial Intelligence (AI) is growing swiftly, and it will introduce significant transformations in most technological industries, including cyber security. These conventional security mechanisms are not often capable of keeping up with cyber attacks which are also becoming increasingly automated. The article explains the use of artificial intelligence in the development of better cyber security by improving the processes of threat detection, prevention, and response by systems. AI can scan data in large quantities with machine learning (ML) and deep learning and discern hidden patterns or unusual behavior which could represent an attack. A more powerful branch of AI is the Generative AI (Gen AI) that brings the concept to an entirely new level. It can not just recognize existing threats but predict and imagine the forms of new attacks, which could lead to stronger defenses. But hacking with AI and Gen AI has its challenges, too. The reasons for this are such things as the dearth of quality in data, susceptibility to having its models attacked, inability to interpret why AI makes the decisions it does, and worries about fairness and privacy. Simultaneously, Computer Generated (Gen) AI is being utilized by cybercriminals to develop more intelligent malware, improved hacking tools and automated spying techniques. AI has its potential benefits, but it also carries new risks. This article profiles AI methods deployed in threat hunting and examines the threats Gen AI causes. It also examines the evolving solutions such as Federated Learning, Block chain, Homomorphic Encryption, Bio-Inspired Algorithms, Deception Technologies and Human-in-the-Loop Systems to establish more robust cybersecurity defenses.