Governing Agentic AI: In Systems of Public Record — Governance Is the Accelerant

Q: What does this research mean for the field?

Effective governance of agentic AI in systems of public record requires a threat model focused on autonomous action, supported by an autonomy ladder and control-plane architecture that accelerates rather than hinders safe deployment. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Sanjeet Kumar

doi:10.5281/zenodo.21971009

September 2, 2026Open Access

Governing Agentic AI: In Systems of Public Record — Governance Is the Accelerant

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Key Points

Establish a threat model and governance framework tailored to the risks of autonomous actions by agentic AI in systems of public record.
Formulated four core governing principles centered on threat models for autonomous action rather than passive generation.
Constructed an autonomy ladder to demarcate operations requiring human authorization from those permitted for independent agent execution.
Designed a control-plane architecture to enforce regulatory guardrails and system integrity in public record environments.
Defined four foundational principles establishing that action-oriented threat modeling is essential for public record security.
Delivered an autonomy ladder framework that explicitly delineates agent authority boundaries and human sign-off triggers.
Demonstrated conceptually that control-plane governance operates as a catalyst for safe deployment rather than an operational bottleneck.

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Implication

Architectural framework outlines an autonomy ladder and control plane for agentic AI in public record systems, suggesting robust governance accelerates safe autonomous deployment.

Abstract

Agentic AI in systems of public record demands a threat model built for autonomous action, not just autonomous output. This paper sets out four governing principles, an autonomy ladder that scopes what an agent may do without human sign-off, and the control-plane architecture that makes governance the accelerant of safe agentic deployment rather than its brake. Part of the Sovereign Digital Resilience series.

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Cite This Study

Sanjeet Kumar (2026) studied this question.

synapsesocial.com/papers/6a9a85885d9e33f25c630e7b https://doi.org/10.5281/zenodo.21971009

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Governing Agentic AI: In Systems of Public Record — Governance Is the Accelerant

Key Points

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Implication

Abstract

Discussion

Cite This Study

Governing Agentic AI: In Systems of Public Record — Governance Is the Accelerant

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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