AI-Driven Cybersecurity: Enhancing Threat Detection and Prevention
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Abstract
With the increasing sophistication of cyber threats, AI has emerged as a crucial tool in cybersecurity. This paper examines how AI-powered techniques, such as machine learning and deep learning, are being used to detect anomalies, prevent cyberattacks, and enhance security protocols. We analyze AI-based intrusion detection systems, fraud detection models, and automated threat response mechanisms. The study also highlights the challenges of adversarial AI and the need for robust defense mechanisms against AI-driven cyber threats.
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References
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