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Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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AgentHook: A Runtime Evidence Standard for Auditable AI Agent Governance

Authors: Ruocco, Pantaleone (Leo);

AgentHook: A Runtime Evidence Standard for Auditable AI Agent Governance

Abstract

AgentHook is an open runtime evidence standard for AI agents. It defines a vendor-neutral event envelope, verified runtime contracts, canonical lifecycle event types, material tool-activity evidence, human decision records, incident signals, evidence-sealing records, conformance tiers, runtime attestation, governance context metadata, and transport guidance so agent runtimes can emit auditable evidence without binding adopters to a particular bus, policy engine, dashboard, or vendor. This draft preprint describes the problem, architecture, envelope model, runtime contract discovery, security considerations, interoperability model, versioning approach, and worked examples for AgentHook v0.1.

Draft preprint for review. This version refreshes the runtime contract discovery, tool-activity, human-decision, incident-signal, and evidence-sealing sections. The paper does not certify compliance with any law, regulation, or standard.

Keywords

NIST AI RMF, agent governance, conformance, runtime attestation, audit logging, AI agents, runtime evidence, lifecycle hooks, EU AI Act, ISO/IEC 42001

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average