Artificial Intelligence in Cybersecurity: A Review of Current Applications and Future Trends

Artificial Intelligence (AI) has become a transformative technology in cybersecurity by improving threat detection, prediction, and automated response capabilities. The rapid growth of sophisticated cyberattacks has created a need for intelligent security solutions that can analyze large-scale data, identify unknown threats, and adapt to evolving attack strategies. This review examines recent AI applications in cybersecurity, including machine learning, deep learning, neuro-symbolic AI, generative AI, reinforcement learning, predictive threat intelligence, IoT security, and automated defense systems. It also analyzes the challenges associated with AI adoption, such as data limitations, privacy concerns, transparency issues, and adversarial attacks. Furthermore, the role of human-AI collaboration is discussed as a critical factor for effective cybersecurity implementation. The findings highlight that future cybersecurity systems will increasingly depend on adaptive, explainable, and collaborative AI-driven approaches

کلیدواژه ها:

Artificial Intelligence ، Cybersecurity ، Machine Learning ، Deep Learning ، Threat Detection ، Generative AI