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Map the agent, identity, resources, tools and dependencies.
INDEPENDENT AI AGENT AUTHORITY ASSURANCE
Aurelis assesses whether an AI agent's observed authority matches the authority it is intended to have — then documents the evidence, remediation and retest.
01 / AUTHORITY MODEL
An agent's effective authority emerges from identity, resource, action, policy and context. Aurelis examines those relationships before testing where the boundary can break.
02 / ASSESSMENT METHODOLOGY
Map the agent, identity, resources, tools and dependencies.
Establish the intended authority and decision conditions.
Test consequential and failure-path behavior.
Compare expected decisions with observed behavior.
Translate findings into specific control changes.
Verify whether the affected boundary now holds.
03 / CONTROLLED CHALLENGE
The public interaction is illustrative. A client assessment uses an agreed scope and controlled environment.
04 / FINDINGS
AUTH-007
The declared boundary requires approval above a configured threshold. The illustrative challenge shows how an observed capability can exceed that intended control.
05 / EVIDENCE
Each conclusion can be traced from the acting identity through the authority condition to the resulting decision.
EVIDENCE TRACE
The execution identity is established before authority is evaluated.
06 / ASSURANCE REPORT
The deliverable records scope, controls, tests, findings, evidence, remediation and retesting — rather than reducing assurance to a generic score.
07 / ASSURANCE PRINCIPLES
Aurelis is designed to make an assurance conclusion inspectable rather than dependent on trust in a score or claim.
Assessment compares observed behavior with the authority the organization intended to grant.
Findings are tied to test conditions, expected decisions and observed behavior.
Challenges are scoped to the agreed assessment and controlled execution conditions.
Remediation can be followed by targeted retesting to establish whether the boundary holds.
An assessment establishes evidence within its defined scope and conditions. It is not a guarantee of behavior outside those conditions.
08 / ASSESSMENT INQUIRY
Start with one consequential workflow. Define what the agent should be allowed to do. Aurelis tests whether that boundary holds.