Abstract This paper examines the impact of AI in Cyber Security, Challenges of AI in cyber security. Despite the benefits, using AI in cyber security makes the challenges: Adversarial AI attacks - can manipulate cyber criminals AI models to detect or prejudice in the security algorithms. A Study on impacts of AI in Cyber-security Ethical thought-of-driven security systems should balance automation with moral concerns such as users' privacy and algorithm bias. Data dependence and accuracy-AI security models require high-quality extensive data sets to detect effective threats, and raise concerns about data security and reliability. The distribution of regulatory and legal barriers AI-controlled cyber security solutions should follow the legal framework to ensure moral implementation. The importance of AI in cyber security. Traditional cyber security models depend on rule -based systems and manual threat analysis, which can be time -consuming and ineffective against quickly developed cyber-attacks. AI provides automation and intelligence information for security operations, which allows the system: Analyse the huge versions of real -time safety data. Find and reduce cyber dangers with minimal human intervention. Learn from previous attacks and customize safety strategies accordingly. Increase user approval through biometric AI system. Media cyber-lock pattern using behavioural analysis.