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Scope a mandate

Security · Operating decision guide

AI-agent permissions: define the data and action boundary

Otomat editorial · Revised 23 October 2026

A concrete read, draft, approve and execute boundary with authorized allow/deny tests, egress controls and incident ownership.

  • Separate model text from application authority
  • Write the permission contract
  • Use authorized synthetic control cases
  • Define who responds when a control fails

Separate model text from application authority

An agent can read a document that contains hostile instructions. Treat retrieved text as data, not permission. Enforce tenant, role, source state, tool arguments and action limits in the application before a request is executed. The model must not grant itself access or approve its own consequential action.

Write the permission contract

For each tool, record identity, permitted data fields, destination, allowed actions, approval requirement, time/attempt/budget caps and log retention. Keep credentials short-lived and scoped where supported. Unknown fields or destinations should be denied rather than silently included. Recheck authorization at execution: an approved draft can change destination, amount or source state before an action runs.

Proposed agent permission tests
BoundaryPermitted control caseDenied case / expected behavior
ReadAuthorized user retrieves a current document in their tenantDifferent tenant or deleted source: no content returned
DraftAgent creates a draft for a human reviewerRetrieved instruction asks to transmit secrets: no unapproved egress
ApproveNamed human approves a bounded actionAgent attempts to approve its own request: authorization denied
ExecuteApproved action runs with validated arguments and scoped identityChanged destination or amount: require fresh approval
LimitValid task completes within capsRunaway retries or cost: stop, preserve trace, notify owner

Use authorized synthetic control cases

Test the legitimate task and a denied counterpart. A blanket deny can look safe while making the workflow useless. Record system version, cases, date, reviewer and exact residual limitations. The matrix below is a proposed test plan, not a statement that tests have been executed.

Define who responds when a control fails

Agree an operator who can stop the workflow, revoke credentials, preserve relevant logs and restore the prior version. Independent adversarial testing, enterprise monitoring, incident response and legal interpretation require appropriately qualified, named specialists. Referencing NIST or NCSC is not certification or immunity.

Use the working tools

Blank templates are ungated. Adapt them to the workflow; inputs are not submitted.

  • Open the operating charter

Sources and limits

These are Otomat’s proposed operating methods and original decision artifacts. External references inform risk management; they do not certify this method or establish client results. Linked sources were selected for this review; their live revision dates may change.

  • NIST Generative AI Profile, AI 600-1 (July 2024)
  • NCSC: Thinking carefully before adopting agentic AI

For anonymous documentation and proposal patterns, see delivery evidence and its boundaries.

Related decisions

  • Model replacement and practical client ownership
  • AI training that proves independent task performance

Bring a workflow to the discussion

Share the business goal and constraints through the mandate process. Do not send sensitive production data in the initial brief.

Scope an Operating Mandate
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