aceThe Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions
Generative artificial intelligence (AI) and persistent empirical gaps are reshaping the cyber threat landscape faster than Zero-Trust Architecture (ZTA) research can respond. We reviewed 10 recent ZTA surveys and 136 primary studies (2022–2024) and found that 98% provided only partial or no real-world validation, leaving several core controls largely untested. Our critique, therefore, proceeds on two axes: first, mainstream ZTA research is empirically under-powered and operationally unproven; second, generative-…
Generative AI enables fraud attacks that erode Zero-Trust Architecture by using synthetic identities and context manipulation to increase false-negative rates, extend dwell time, bypass policies, and evade audit trails.
Existing ZTA literature is empirically under-powered, with most studies lacking real-world validation of core controls.
Evidence
- Peer-reviewedJournal of Cybersecurity and Privacy2025-10-15
How should this claim be treated?
Truvace Impact Record TRV-2026-0483, v1: “The Erosion of Cybersecurity Zero-Trust Principles Through Generative AI: A Survey on the Challenges and Future Directions.” Truvace, 2026-07-22. /record/TRV-2026-0483 (accessed at citation time). sha256 26023543a177abdb…
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