Copyable policy template

AI agent external email policy

A production-ready starting policy for ai agent email approval, including match conditions, approval behavior, evidence, and rollout checks.

Updated July 2026Implementation guideai agent email approval
Built for

Security and platform engineers implementing their first enforceable agent policy.

Decision supported

How to control send_email against recipients outside approved domains without blocking routine agent work.

The control gap

Drafting and sending are separate risk boundaries; an external message can create legal, privacy, or customer impact.

Email policy should evaluate the final envelope, not only the draft. Recipient domains, BCC addresses, attachment classifications, mailbox identity, thread participants, and message sensitivity can all change the impact. Re-run authorization if the agent edits recipients or attachments after a reviewer sees the preview.

Keep drafting automatic and make sending the controlled side effect. The reviewer needs a readable subject, recipients, attachment summary, and reason for contact. Bind approval to a digest of that content so it cannot be reused for a materially different message. Record the provider message ID after successful delivery.

Normalize every address through the mail provider and expand aliases or groups when audience size matters. A familiar internal alias may include external guests, while Unicode or plus-address variants can defeat naive domain checks. Treat reply-all as a new envelope and include the mailbox from which the agent will send.

Inspect attachments by stable file identity, classification, size, and content digest. Links to cloud files need their sharing state and tenant because the visible URL alone may not reveal who can open them. Approval should expire if an attachment or linked document changes after the preview is generated.

Cover draft-only, scheduled send, cancellation, provider acceptance, bounce, and complaint as distinct events. An accepted SMTP or API response proves handoff, not delivery or reading. Keep message IDs for correlation, minimize body retention, and make resend a new authorized action rather than a replay of the prior grant.

What good looks like

A narrow policy that can be tested in shadow mode, reviewed with owners, and promoted to enforcement with measurable impact.

  • Match the concrete action "send_email" rather than every operation exposed by the tool.
  • Scope the target to recipients outside approved domains and the production environment.
  • Require a request-bound approval that expires and cannot be reused.
  • Record denied attempts as well as approved executions.

A production workflow

  1. Copy the template and replace example identities and resource selectors.
  2. Run it in shadow mode against representative requests.
  3. Review false positives, missing resource attributes, and approver routing.
  4. Enable enforcement for one agent and expand only after reviewing the decision log.

A policy you can test

AI agent external email policy is a concrete starting point, not a claim that one generic rule fits every environment. Replace example identities and selectors, validate the request shape, and begin in shadow mode.

name: external-email
match:
  tool: gmail
  action: send_email
  recipient.domain: { not_in: ["company.example"] }
decision: require_approval
approval:
  reviewers: ["mailbox-owner"]
  expires_in: 30m

Endram keeps the policy version with every decision. A later change creates new evidence instead of rewriting why an earlier request was permitted.

Evidence to require

  • Every attempted send_email, including denied requests.
  • The exact recipients outside approved domains selector evaluated by policy.
  • The requesting agent, delegated user, reviewer, and timestamps.
  • Policy version, matched rule, decision reason, and execution result.

Buyer checklist

  • Does the selector cover only the intended production resources?
  • Who owns the approval queue outside business hours?
  • What is the acceptable approval expiry?
  • Which emergency identity may bypass the rule, and how is that use audited?

Practical answers

Common implementation questions

Can I use this policy as written?

Use it as a reviewed starting point. Replace example identities, actions, and resource selectors, then validate it in shadow mode against your actual tool-call shape.

Why use approval instead of a permanent allow?

Approval preserves a low-friction path for exceptional work without turning a one-time need into standing access.

Does a denied call appear in the audit trail?

Yes. Denied and expired requests remain part of the decision log so control owners can tune policy and investigate attempted actions.

Continue the evaluation

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