AI-Enhanced Cyber security: Proactive Threat Detection Using Deep Learning

Abstract

As cyber threats continue to grow in complexity and volume, traditional security methods often struggle to keep pace. This paper explores the application of deep learning techniques to cybersecurity, specifically focusing on how artificial intelligence (AI) can enhance threat detection capabilities. By leveraging advanced deep learning algorithms, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), AI-driven systems are able to analyze vast amounts of network traffic and system data in real-time, identifying subtle patterns that may indicate potential security breaches or attacks.