Securing Cloud-Native Architectures with Dynamic Threat Detection: A Scalable Approach for Multi-Tier Applications

As the adoption of cloud-native architectures grows, the complexity and scale of these systems introduce unique security challenges. Multi-tier applications, with their distributed and interconnected components, are particularly vulnerable to sophisticated cyber threats. This paper presents a scalable framework for securing cloud-native architectures through dynamic threat detection mechanisms. The framework leverages real-time monitoring, anomaly detection algorithms, and automated threat responses to ensure system integrity and resilience. Experimental results demonstrate the efficacy of the proposed approach in identifying and mitigating threats across the infrastructure, application, and data layers while maintaining minimal performance overhead.