Best Practices for End-to-End Data Pipeline Security in Cloud-Native Environments

Abstract

Today, cloud-native data pipelines are a fundamental asset in data structures of present-day data-powered businesses, however, they present a major security risk through their full lifecycle. This research paper is a study of holistic security solution to safeguard data pipelines in native cloud settings, with the scope of protecting every part of the process, beginning with data ingestion, through processing, and ending with data consumption. In this blog post, we distinguish security measures essential to mitigating the risks posed by vulnerabilities inherent in cloud-native data ecosystems based on the evaluation of the current industry standards, emerging threats, and architectural methodologies. We suggest using a security framework that enables combining the identity and access management, methods of data protection, network security, runtime protection, and continuous monitoring. The results of our study show that such an integrated security solution based on the principles of a defense-in-depth and cloud-native security ensures a high level of risk reduction and a high efficiency of operations. People can get implementation advice for organizations implementing secure cloud-native data pipeline systems through the paper.