The rapid growth of Artificial Intelligence (AI) has transformed multiple sectors, enhancing digitisation, performance, and predictive analytics. However, due to rapid development in there are new growing threats like cyber threats, cybercrimes and many more. This paper explores recent trends in cybersecurity related to AI applications, showing growing threats, strategies, and supervising developments.

One big problem with AI in cybersecurity is that hackers can trick AI models by messing with their data or attacking them in sneaky ways. This can weaken security systems. Also, cybercriminals are using AI to create more dangerous threats, like fake videos (deepfakes) for scams, smart phishing attacks, and advanced viruses that are harder to catch.

On the other hand, AI is also helping to improve cybersecurity. It can detect threats in real time, predict risks, and respond to attacks automatically. AI is making security systems better at spotting unusual activities, preventing cyberattacks, and protecting devices from threats.

Ethical issues and rules are constantly changing to handle AI-related security risks. Governments and companies are working on policies to use AI responsibly while reducing risks. Explainable AI (XAI) is also becoming important because it helps make AI decisions more transparent and trustworthy.

This paper provides a detailed study of these new trends, highlighting how AI can both improve security and create risks. By understanding these challenges, people can be better prepared for cyber threats while making the most of AI to protect digital systems.