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Security agent authorization assurance audit policy Governance of autonomous agents today is largely expressed as boundary enforcement: an action is permitted or blocked at the point it is attempted, per a policy evaluated at that boundary. As agents span heterogeneous action types — authenticating a human, executing a delegated task, selecting a computational resource — a single, uniform way to express "how much assurance this action requires, before it proceeds" is missing. This document describes an interface for pre-action, risk-graded assurance: a policy stage that, before an agent action proceeds, derives an assurance requirement from a risk signal and expresses that requirement in a domain-appropriate form, recording the decision in an audit record and optionally binding it to a verified human root. It defines the interface and the audit-record fields, not any particular risk-scoring method or control law. This document is offered as input to the proposed AUDIT working group's work on authorization state over time and action provenance.

Introduction Emerging agent-governance systems evaluate policy at action boundaries and return, in the common case, a binary decision. This is adequate for uniform allow/deny gating but does not capture a property that liability-bearing and safety-sensitive deployments increasingly require: assurance should scale with risk, be evaluated before the action proceeds, be expressible uniformly across different kinds of action, and leave a provable record of why a given assurance level was required and whether it was met. Consider three actions an agent may take: (a) re-authenticate the human on whose behalf it acts; (b) execute a delegated task with external effect; (c) select which computational resource (for instance, which model) will handle a request. These belong to different domains, yet each admits a natural notion of "assurance": authentication depth for (a), oversight degree for (b), and selection rigor for (c). Today each is governed by a separate mechanism, if at all. This document describes a single pre-action stage that unifies them at the interface level. It does not prescribe how risk is computed, nor the control law that maps risk to requirement; those are implementation and product matters, and in some deployments proprietary. What it standardizes is the shape of the decision and its record, so that audit consumers and interoperating systems can reason about assurance uniformly.

Relationship to the policy decision/enforcement model The separation of a decision function from an enforcement function is a well-known model in this community: the Common Open Policy Service defined a policy decision point (PDP) and a policy enforcement point (PEP), with the PEP consulting the PDP before acting. The stage described here follows that established division of responsibility: an assurance decision function computes the required assurance for a request, and an enforcement point admits the action only once the requirement is met. What this document adds to that model, for the agent setting, is (a) a requirement that is risk-graded rather than a single admit/deny outcome, (b) evaluation that is uniform across heterogeneous action-domains, and (c) an audit record of the decision suitable for the provenance and authorization-state work of the proposed AUDIT working group. The terminology of is used here for continuity; this document does not reuse the COPS wire protocol.

Relationship to the proposed AUDIT work The proposed AUDIT working group contemplates modeling authorization state over time and action provenance. A pre-action assurance decision is exactly a unit of authorization state: it is computed, applied, and — per this document — recorded, before the action. The audit-record fields in Section 5 are offered for that model.

Relationship to the Verified Human Root Where a deployment also uses a verified human root (), the assurance decision MAY be bound to the root attestation, so that the record shows not only what assurance was required and met, but under which accountable human the action was authorized. The two documents are independent; either may be used without the other.

Conventions and Definitions The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "NOT RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in BCP 14 when, and only when, they appear in all capitals, as shown here.

The Pre-Action Assurance Stage This section describes the decision whose record is the subject of this document. It is descriptive context for the audit-record fields of Section 5, not a mandated enforcement architecture: a deployment records these fields wherever it makes such a decision, however its own enforcement is structured. An implementation that records these fields evaluates, for an incoming agent action request and before the action proceeds: a risk signal for the request (the method of computing it is out of scope); an assurance requirement derived from that signal, expressed in a form appropriate to the request's action-domain (Section 4); whether the requirement is satisfied; and a decision that gates the action at an enforcement point (a PEP in the sense of ): the action proceeds only if the requirement is met, and cannot bypass the stage. The decision, its inputs, and its outcome are recorded (Section 5). The requirement is "risk-graded": it may take one of several ordered levels rather than a single permit/deny outcome. The number of levels, and the mapping from risk signal to level, are out of scope for this document; a deployment MAY use as few as two levels, but an interoperating consumer MUST NOT assume only two levels exist.

Domain-Appropriate Assurance Forms The assurance requirement is one primitive expressed differently per domain. This document defines three domains and leaves the set extensible.

Human-authentication domain:

The requirement is an authentication depth, ranging from a light single-factor re-authentication for low-risk actions to a full multi-modal re-authentication for high-risk or non-repudiable actions.

Agent-action-execution domain:

The requirement is an oversight degree, ranging from autonomous execution, through draft-then-human-confirmation, to block-pending-human-authorization.

Computational-resource-selection domain:

The requirement is a selection rigor, ranging from single-resource selection to multi-resource cross-validation or consensus of a specified depth.

An implementation MAY define additional domains. A domain definition MUST specify the ordered set of assurance levels for that domain and how a level is determined to be satisfied.

Audit Record Fields For each evaluation, an implementation SHOULD record, in the deployment's audit-record model:

action_ref:

A reference to the action request being gated.

risk_signal:

The risk value that drove the decision, and a reference to the method or metric identity that produced it (the metric's internals are out of scope).

domain:

The action-domain of the request.

assurance_required:

The derived requirement, in the domain-appropriate form of Section 4, including the level within that domain's ordered set.

assurance_outcome:

Whether the requirement was satisfied, and by what evidence reference.

pre_action:

A boolean or structural indicator that the evaluation preceded and gated the action (as opposed to a post-hoc log).

verified_human_root:

OPTIONAL. A reference per binding the decision to an accountable human.

These fields let an audit consumer answer, for any recorded action: what was the assessed risk, what assurance did policy therefore require, was it met, and was the check made before the action — uniformly across domains.

Interoperability Considerations Two systems interoperate at this interface when they agree on: the set of action-domains in use; for each domain, the ordered set of assurance levels and their satisfaction criteria; and the audit-record field names and encodings. This document fixes the field semantics and the three baseline domains; the concrete level sets and encodings are expected to be profiled by the consuming ecosystem or working group. Systems that evaluate policy only at action boundaries can expose a degenerate two-level grading through this interface without adopting continuous grading internally; consumers therefore MUST treat two-level behavior as a valid special case and MUST NOT infer richer semantics than a producer advertises.

Security Considerations

Non-bypass:

The value of a pre-action stage is that it cannot be skipped. An implementation MUST ensure the action does not proceed unless the assurance requirement is satisfied; a stage that can be bypassed provides no assurance regardless of how it grades risk.

Risk-signal integrity:

The assurance requirement is only as trustworthy as the risk signal. Manipulation of the signal manipulates the requirement. Deployments SHOULD protect the integrity and provenance of the risk input; this document's audit fields record which metric was used so that later review can detect anomalous inputs.

Record integrity:

Assurance decisions are security-relevant events. The audit records SHOULD be carried in a tamper-evident record model so that the "required vs met" history cannot be silently rewritten.

Binding to human root:

Where the verified_human_root field is used, the security considerations of apply to that binding, including its replay and revocation properties.

Downgrade:

An attacker who can lower the derived requirement (by influencing the risk signal or the domain classification) weakens assurance without triggering a deny. Deployments SHOULD monitor for anomalous downward drift in required assurance relative to comparable historical actions.

IANA Considerations This document has no IANA actions. A future version may register the audit-record field names of Section 5, subject to working-group adoption.

&RFC2119; &RFC8174; &RFC2748; &RFC9635; Violet Shores Pty Ltd

Design Rationale The interface deliberately stops at the decision boundary. Whether risk is computed by a single model, an ensemble, a calibrated cross-model metric, or a human-tuned heuristic is a deployment choice; whether the mapping from risk to requirement is a step function, a continuous curve, or a control loop with feedback is likewise out of scope here. Standardizing only the shape of the decision and its record maximizes interoperability while leaving room for implementations to differentiate on the quality of their risk assessment and control behavior.

Acknowledgments This document responds to the direction of the proposed AUDIT work on authorization state and provenance, and is designed to compose with .