CloudShield: A Defensive Framework Based on the Cutting-Edge Cloud-Based Security Orchestration

Abstract

In the contemporary landscape of cloud-native architectures, ensuring robust security orchestration has become paramount to safeguarding digital assets against evolving cyber threats. This paper explores a novel framework based approach called CloudShield to cloud-native security orchestration designed to transform your defense strategies and improve your cyber resilience. Our framework architecture combines the present-day technologies for instance AI, distributed ledger technology, and edge computing to present a single security surface area across cloud-native environments. By means of AI centered anomaly detection, decentralized authentication mechanisms, and adaptive threat intelligence, our solution provides dynamic threat response and proactive risk mitigation. Our proposed framework’s technical underpinnings and operational advantages are described in depth, including its adaptability to varied cloud-wise architectures and its scalability for large-scale deployments. Through empirical evaluations and real-world use cases, we establish the efficacy and transformative potential of our approach in fortifying the cloud-wise infrastructures against sophisticated attacks. The study makes a significant stride in advancing resilient security orchestration in cloud-native environments, precipitating an epistemic shift towards proactive defense strategies in the digital era.