Comprehensive Analysis of AI-Enhanced Defense Systems in Cyberspace
Abstract
The proliferation of cyber threats necessitates innovative defense mechanisms, and this paper presents a comprehensive review and analysis of AI-enabled approaches in cyberspace security. It investigates the integration of artificial intelligence (AI) algorithms, machine learning, and deep learning techniques into cybersecurity frameworks to counteract evolving threats. The study assesses the efficacy of AI in threat detection, anomaly identification, and predictive analysis within diverse cyber environments. Additionally, it scrutinizes the limitations and challenges associated with AI-driven defense strategies, emphasizing the ethical implications, adversarial attacks, and the need for interpretability and transparency in AI models. This research aims to provide a critical evaluation of the current landscape of AI-based defense mechanisms while highlighting their potential in fortifying cyber resilience and addressing emerging cyber threats.
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