With the ever-growing threat of cyberattacks, AI in cybersecurity is becoming more relevant and essential as a tool for protecting information systems and data. As AI can detect, analyse, and counter cyber threats much faster than the human mind, AI is becoming an important component of the cybersecurity strategy. At the same time, their introduction into this sphere of activity is also burdened with some legal problems and requires elaborating specific legal frameworks. AI analyses network traffic and user behaviour patterns to identify anomalies or suspicious activities that could help detect potential attacks even before they occur. The AI-driven systems automatically block malicious operations or isolate the infected areas of the network, drastically shrinking incident response times. AI can forecast and adapt to new types of threats with machine learning algorithms by continuously updating databases and methods of detection. AI implementation should follow privacy legislation requirements such as GDPR in Europe. One crucial point will be that the treatment of data by AI must be transparent and controllable. It should be made clear that one is responsible when potential AI mistakes result in breaches in data and lead to inappropriate information access. The use of AI in cybersecurity, much like its development, will always go hand-in-hand with the ethical standards, including not using AI for illegal monitoring or violating human rights. Artificial Intelligence integrated into cybersecurity systems is a powerful defensive tool in this digital age. However, it requires a broad legal framework in order to function properly and effectively; it should be such that the use of AI guarantees data protection and prevents abuse. The lawful regulation would allow the complete utilization of AI benefits to improve cybersecurity while reducing the risks and any probable adverse implications.