Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications
Artificial Intelligence (AI) is widely adopted today for its ability to detect patterns, automate tasks, and reduce time and cost across various applications. Its integration into Cybersecurity has garnered significant attention, particularly in areas such as intrusion detection, malware analysis, and phishing or spam detection. As AI and cybersecurity evolve, new methods and approaches emerge regularly. Current trends include the use of Generative AI, Natural Language Processing, Federated Learning for privacy-preserving collaborative training, and eXplainable AI to ensure interpretability and trust, which are vital in cybersecurity. This paper presents an interesting review of current A...
| Authors | S. Tazili, A. Mansour, M. Y. Chkouri |
|---|---|
| Primary category | cs.CR |
| Published | 17 May 2026 |
| Last updated at source | 17 May 2026 |
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