Advancements in AI-Driven Cybersecurity and Comprehensive Threat Detection and Response

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Authors: Raghav Talwar
Cited by: 0

Abstract

Cyber threats are continuously evolving, increasing the need for advanced security technologies. Artificial intelligence (AI) plays an important role in cybersecurity by improving threat detection and enabling automated responses. This paper highlights recent advancements in AI-based cyber defense, focusing on machine learning and automation techniques. AI-driven security systems can analyze normal behavior patterns, identify threats accurately, and respond in real time. However, challenges such as lack of transparency, data bias, and adversarial attacks still exist

Fields of Study & Subjects

Network Security and Intrusion Detection Adversarial Robustness in Machine Learning Information and Cyber Security

Publication details

Journal / source
International Journal for Research in Applied Science and Engineering Technology
Volume
14
Issue
1
Pages
100–105
Publication date
6 February 2026