Symptoms Without Primitives: Why the Five Eyes Agentic AI Guidance Cannot Reach the Substrate Layer

In May 2026, NSA, DHS CISA, and their Five Eyes partners published “Careful Adoption of Agentic AI Services,” the most authoritative national-security-level guidance on agentic AI governance issued to date. The paper correctly identifies that agentic AI introduces structural and behavioral risks beyond traditional software, that privilege misconfiguration is catastrophic at agentic scale, and that accountability is among the hardest unsolved problems in AI deployment. These are accurate observations. They are not governance primitives. They are symptoms of a deeper structural failure that the guidance cannot reach because the conceptual vocabulary required to address it—formation layer, identity drift, authority-at-formation, pre-instantiation governance—does not exist within the institutional frameworks the guidance is bound to extend. The guidance is not wrong. It is incomplete in a specific and consequential way: it identifies agentic risk at the execution layer and proposes execution-layer mitigations, while the governance failure occurs at the formative layer—before the system runs anything.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-11
DOI
https://doi.org/10.5281/zenodo.20125645
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Symptoms Without Primitives: Why the Five Eyes Agentic AI Guidance Cannot Reach the Substrate Layer

Narnaiezzsshaa Truong
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Symptoms Without Primitives: Why the Five Eyes Agentic AI Guidance Cannot Reach the Substrate Layer

Narnaiezzsshaa Truong
article en

Abstract

In May 2026, NSA, DHS CISA, and their Five Eyes partners published “Careful Adoption of Agentic AI Services,” the most authoritative national-security-level guidance on agentic AI governance issued to date. The paper correctly identifies that agentic AI introduces structural and behavioral risks beyond traditional software, that privilege misconfiguration is catastrophic at agentic scale, and that accountability is among the hardest unsolved problems in AI deployment. These are accurate observations. They are not governance primitives. They are symptoms of a deeper structural failure that the guidance cannot reach because the conceptual vocabulary required to address it—formation layer, identity drift, authority-at-formation, pre-instantiation governance—does not exist within the institutional frameworks the guidance is bound to extend. The guidance is not wrong. It is incomplete in a specific and consequential way: it identifies agentic risk at the execution layer and proposes execution-layer mitigations, while the governance failure occurs at the formative layer—before the system runs anything.

Zenodo (CERN European Organization for Nuclear Research)
American Rock Mechanics Association (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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