AI-Driven Threat Detection and Response Systems: Advancing Cybersecurity

Oluwaseun Adewale Obafemi · HAL (Le Centre pour la Communication Scientifique Directe) · 2024

This paper explains that real-time threat detection, predictive analysis, and automated reaction capabilities are just a few of the ways that AI-driven systems have revolutionised cybersecurity. With an emphasis on machine learning, deep learning, and neural networks, this study investigates the architecture and algorithms of AI-based threat detection and response. It was written as part of the requirements for my PhD application.

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