Never Trust, Always Verify: Zero Trust Security Testing Framework

Authors

  • Chandra Shekhar Pareek Independent Researcher, Berkeley Heights, New Jersey, USA.  Author

DOI:

https://doi.org/10.47363/JAICC/2022(1)E215

Keywords:

Zero Trust Architecture (ZTA), Zero Trust Testing (ZTT), Cybersecurity Resilience, Continuous Verification, Microsegmentation Validation, Operational Security Framework, Network Security Validation

Abstract

The Zero Trust paradigm is redefining the cybersecurity landscape by mandating a fundamental shift from traditional perimeter-based defenses to the "never trust, always verify" doctrine, where no entity - whether inside or outside the network—is inherently trusted. This model requires a granular approach to authentication, authorization, and resource access, continuously verifying every interaction in real-time. Zero Trust Testing (ZTT) emerges as a sophisticated, purpose-built methodology designed to meticulously validate the seamless implementation and operational integrity of these principles across complex, distributed systems. By leveraging cutting-edge testing techniques, ZTT ensures that Zero Trust policies, such as least privilege enforcement, micro-segmentation, and adaptive threat detection, are not only functional but also resilient against advanced persistent threats (APTs) and insider risks. This paper delves into the intricacies of the ZTT framework, elucidates its advanced methodologies for policy enforcement, data protection, and anomaly detection, and explores its real-world applicability in fortifying resilient, reliable, and uncompromisingly secure Zero Trust ecosystems in
diverse operational environments.

Author Biography

  • Chandra Shekhar Pareek, Independent Researcher, Berkeley Heights, New Jersey, USA. 

    Chandra Shekhar Pareek, Independent Researcher, Berkeley Heights, New Jersey, USA.  

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Published

2022-01-21

Issue

Section

Vol 1, Issue 1

How to Cite

Never Trust, Always Verify: Zero Trust Security Testing Framework. (2022). Journal of Artificial Intelligence & Cloud Computing, 1(1), 1-5. https://doi.org/10.47363/JAICC/2022(1)E215

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