A Comprehensive Framework for Adaptive Cybersecurity in Cloud-Native Infrastructures

Abstract

Cloud-native infrastructures have revolutionized the deployment and scaling of applications by enabling modularity, automation, and flexibility through microservices, containers, and orchestration tools. However, this shift has also introduced new and complex cybersecurity challenges. Traditional security models struggle to keep up with the dynamic, ephemeral nature of cloud-native environments. This paper proposes a comprehensive, adaptive cybersecurity framework designed specifically for cloud-native infrastructures. It incorporates real-time threat intelligence, behavioral analytics, continuous monitoring, and AI-driven decision-making to secure services across distributed architectures. The framework is validated using experimental simulations on Kubernetes clusters with real-world threat emulation tools. The results demonstrate significant improvements in threat detection latency, false positive reduction, and overall security posture. This research bridges the gap between cloud-native computing and adaptive cybersecurity, offering a scalable, intelligent, and resilient solution.