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

Authors

  • Abhijit Joshi Staff Data Engineer – Data Platform Technology Lead at Oportun, USA Author

DOI:

https://doi.org/10.47363/zthgsy17

Keywords:

Zero Trust Architecture, Data Engineering, Cybersecurity, Distributed Systems

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.

Author Biography

  • Abhijit Joshi, Staff Data Engineer – Data Platform Technology Lead at Oportun, USA

    Abhijit Joshi, Staff Data Engineer – Data Platform Technology Lead at Oportun, USA

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Published

2022-07-22

How to Cite

Adopting Zero Trust Architecture in Data Engineering: Implementing Secure, Trustless Systems for Modern Data Security. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(3), 1-6. https://doi.org/10.47363/zthgsy17

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