
Agentic AI Email Triage
An email agent reads attacker-controlled content. Treat every message as untrusted input, separate interpretation from authority, and require approval for consequential actions.
Read the guide →Every message is attacker-controlled input. A safe email agent can summarize and propose, while code, policy, and people decide what it is allowed to do.
“Manage my inbox” is not a specification. Define the exact inputs, proposals, permissions, approval points, and prohibited actions.
Extract message type, requested action, deadlines, entities, uncertainty, and supporting evidence into structured output.
See the reference architecture →Validate recipient, destination, data sensitivity, tool, amount, identity evidence, and required approval outside the model prompt.
Connect policy controls →Use short-lived credentials, typed operations, rate limits, audit logs, and rollback for the final bounded action.
Start with low-risk triage →An attacker can place instructions in the message body, quoted text, an attachment, a calendar invite, an image, or a linked page. The system should label those sources as untrusted data. A model can explain that the message asks for a file, but it should not gain permission to read or send the file merely because the text says so.
Permissions should be incremental. A summarizer does not need send access. A drafting tool can create text without choosing recipients. A scheduling assistant can look up availability before a person approves external attendees. A finance workflow can create a review ticket without changing bank details or releasing a payment.
Approval must show exact consequences. Display the destination, recipients, attachments, data leaving the system, and the proposed changes. Bind approval to those parameters so a later modification requires a new decision. Maintain a kill switch and preserve the full event trail for incident response.
Run shadow mode first, compare proposals with real decisions, and expand only after permissions, logs, rollback, and incident response work end to end.
Use these long-form articles to move from the topic overview into a specific workflow.

An email agent reads attacker-controlled content. Treat every message as untrusted input, separate interpretation from authority, and require approval for consequential actions.
Read the guide →
A calm inbox separates urgency from importance. Use deterministic rules for known workflows, a review queue for uncertainty, and human judgment for high-impact actions.
Read the guide →
Phishing detection is not a grammar test. This guide shows how to pause, verify the request through a trusted channel, inspect evidence, and report safely.
Read the guide →