Adaptive Cybersecurity Strategies for Evolving Computer Networks: A Fusion of AI and Blockchain Technologies

Abstract

The rapid evolution of computer networks necessitates innovative cybersecurity strategies that can adapt to dynamic threats. This paper proposes a framework that integrates Artificial Intelligence (AI) and blockchain technologies to enhance the resilience of cybersecurity measures. AI's capabilities in real-time threat detection and autonomous adaptation are leveraged to identify and mitigate emerging vulnerabilities effectively. Blockchain technology contributes by providing immutable records of transactions and enhancing data integrity, which is crucial in preventing unauthorized access and ensuring accountability. The fusion of these technologies creates a robust cybersecurity architecture that not only responds to current threats but also anticipates future risks through continuous learning and adaptation. This adaptive approach is essential for organizations operating within complex, cloud-based environments where traditional security measures may fall short. By employing a multi-layered defense strategy that encompasses predictive analytics, zero-trust models, and behavioral analysis, this framework aims to safeguard data integrity and privacy in an increasingly interconnected digital landscape