Separating Disclosure from Authorization: Field-Tier Minimization for Agent Action Mediation
Proposes an architectural pattern that decouples what an authorisation system sees from what it records, aiming to limit unnecessary data exposure in AI agent action pipelines.
Summary written by editorial AI · Source link below
arXiv:2608.25474v1 Announce Type: new Abstract: A system that authorizes an action must see enough of it to decide, and a system that attests to its decision must record enough to be audited. Both pressures push raw action parameters -- recipients, payment memos, record identifiers -- into an append-only ledger that cannot delete them. We show the two are separable. We classify each parameter field, not each action class, into three tiers: fields a policy may legitimately match on, which cross
Editorial Analysis
As agentic AI adoption grows, over-disclosure during authorisation flows becomes a concrete privacy risk; this pattern offers a mitigation approach.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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