proactive threat detection

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• Published Subscription Review Article 15 May 2026

  Advancing Threat Intelligence: A Synergistic Convergence of AI and Machine Learning for Proactive Detection

  By Tejas Kolhe, Onkar Thorat, Rutuja Urunkar, Ajay Pachore, Yogesh Khandekar, Ajay Gawali

  Abstract: The need for defense systems that are smarter, faster, and more adaptable has never been greater in an era when cyber threats are becoming increasingly intelligent and evasive. This project presents a cutting-edge approach to cybersecurity through the synergistic fusion of Artificial Intelligence (AI) and Machine Learning (ML), aiming not just to detect threats—but to predict and prevent them proactively. The automated ingestion of various cybersecurity data, including live network …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 · pp. 1–8 Read article →