Artificial intelligence (AI) has influenced cybersecurity in both positive and negative ways as it continues to redefine technological capabilities across industries. This study examines the use of AI in hacking, analysing its uses in both morally righteous and immoral scenarios.

AI solutions improve threat detection speed, accuracy, and scope for ethical hackers, enabling security experts to automate reconnaissance, find vulnerabilities, and model assaults on a never-before-seen scale. Malicious actors, meanwhile, are using the same capabilities to create adaptable malware, conduct extensive network incursions with no human intervention, and start hyper-targeted phishing attacks.For enterprises, the evolving threat landscapehas substantial implications.

AI puts companies who are not prepared for it at significant danger since it lowers the entry barrier for hackers, makes attack vectors more complicated, and speeds up the time it takes for breaches to occur.Businesses need to take a proactive approach to cybersecurity in order to combat this, which includes red team testing, AI-driven protection systems, ongoing training, and strict policy enforcement. Human inventiveness, critical thinking, and contextual analysis remain necessary, as AI alone cannot reproduce the entire depth of a competent hacker's intuition or plan.In this research, we also list a number of top AI technologies that are worth considering for penetration testing purposes. AI has altered the game, but it hasn't eliminated the necessity for qualified experts, it has raised the bar.