Adopting Zero Trust Architecture in Data Engineering: Implementing Secure, Trustless Systems for Modern Data Security

Abstract

The ever-evolving landscape of data engineering necessitates robust security measures to protect sensitive information in distributed environments. Traditional security paradigms, which rely heavily on perimeter defenses, are increasingly inadequate against sophisticated cyber threats. Zero Trust Architecture (ZTA) emerges as a pivotal strategy, advocating the principle of "never trust, always verify." This paper delves into the implementation of ZTA within data engineering, outlining its core principles, significance in modern data security, and practical applications to safeguard data integrity and confidentiality. Through detailed methodologies, algorithms, and visual representations, we explore how ZTA can transform data security practices, ensuring resilient protection against a myriad of cyber threats.