International Journal of Science, Engineering and TechnologyAuthors: Rohan Tiwari, Sanket Jadhav, Dr. Jasbir Kaur, Assistant Professor Suraj Kanal, Assistant Professor Ifrah Kampoo
Abstract: The rapid proliferation of cloud computing, artificial intelligence, the Internet of Things (IoT), and distributed digital services has fundamentally altered the modern computing environment. While these advancements improve operational efficiency and connectivity, they also introduce sophisticated security vulnerabilities that frequently bypass traditional defensive mechanisms. Contemporary cyber threats have evolved from simple malicious software into complex, targeted campaigns, including advanced persistent threats (APTs), zero-day exploits, ransomware, phishing, and internal vulnerabilities. As a result, conventional perimeter-based security strategies are no longer sufficient for protecting increasingly expansive digital infrastructures. This research examines the changing landscape of cyber threats and assesses the limitations of legacy security frameworks in protecting modern digital ecosystems. The paper explores innovative developments in machine learning-driven intrusion detection, blockchain-based security, intelligent threat recognition, and Zero Trust Architecture (ZTA). Building on these insights, the study proposes a multi-layered cybersecurity framework that incorporates behavioral analytics, continuous monitoring, robust encryption, artificial intelligence, and automated response mechanisms. The goal of this proposed architecture is to strengthen organizational resilience against both known and emerging threats by improving detection accuracy and reducing the time required for threat mitigation in scalable, cloud-native environments.
