
This comprehensive article explores the multifaceted approach required for securing cloud-native applications in today's rapidly evolving technological landscape. It delves into the unique security challenges posed by microservices, containers, and serverless architectures, highlighting the inadequacies of traditional perimeter-based defenses in these dynamic environments. The paper presents a detailed analysis of best practices, including runtime protection, container image scanning, zero trust networking, and the implementation of the least privilege principle. It emphasizes the critical need for continuous learning and adaptability in security strategies, discussing the importance of threat intelligence, security automation, and the ability to swiftly adapt to cloud provider changes. Furthermore, the article examines emerging trends in cloud-native security, such as the integration of artificial intelligence and machine learning, the advent of quantum-safe cryptography, and the shift toward identity-centric security paradigms. By providing a holistic view of current practices and future directions, this paper serves as a valuable resource for organizations seeking to enhance their security posture in cloud-native environments, offering insights into the complex interplay between technological innovation and security imperatives in the cloud era.
Cloud-Native Security, Zero Trust Architecture, Container Image Scanning, Microservices Security, Continuous Threat Intelligence
Cloud-Native Security, Zero Trust Architecture, Container Image Scanning, Microservices Security, Continuous Threat Intelligence
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
