How do you get a verdict on reported phishing within 15 minutes?
A phishing triage AI Employee that pulls newly reported emails from your phishing report inbox every 15 minutes, inspects headers, links, and attachments for phishing indicators, and posts a risk verdict with a recommended action to your security channel. It only recommends; a named human decides whether to block a sender or warn staff.
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A secure email gateway filters out the obvious junk, so what a person forwards to the phishing report inbox is already the hard tier: a plausible looking invoice, a lookalike login page, a reply to that doesn't match the display name. Judging it well means checking SPF, DKIM, and DMARC results, tracing where a shortened link actually resolves, and noticing an attachment that's a macro document dressed up as a PDF. That's several checks, every time, before anyone can say whether it's real. The common approaches don't hold up under volume. A person checks the inbox when they get to it, so a real campaign sits unflagged for hours. A static blocklist of known bad domains misses this morning's freshly registered lookalike. And a rule that automatically quarantines anything reported is fast but wrong often enough that people stop trusting it. A false block on a legitimate sender is its own incident.
The phishing triage AI Employee runs every 15 minutes with read only access to the phishing report inbox. It pulls every message reported since the last check, examines the sender's authentication results, the reply to and return path against the display name, where every link actually resolves, and any attachments, then classifies the risk and drafts a verdict such as block this sender, warn everyone who may have gotten the same email, or no action needed, and posts it to the security channel. It changes nothing in the mailbox itself.
See exactly how the work gets done.
Runs every 15 minutes
A scheduled run fires every 15 minutes, so a burst of reports during an active campaign gets picked up on the next tick instead of waiting on a person. Nothing carries state between runs.
Carries the indicator rulebook as a skill
What counts as a red flag travels with the AI Employee as a skill: how to read SPF, DKIM, and DMARC results, what a reply to or return path mismatch means, how to trace a shortened or embedded link to its real destination, which attachment types are high risk, and how those signals combine into a risk tier and a recommended action.
Connects to the report inbox read only, with permissions you set
It reads every newly reported message from the phishing report inbox, including its full headers, links, and attachments, and posts one verdict per email to Slack with the risk tier, the indicators that drove it, and the recommended action. It connects with permissions you set; credentials stay in memory, never written to disk, never exposed to the model.
Analyzes, recommends, and alerts, nothing more
It never blocks a sender, deletes or moves a message, or takes any remediation action in the mailbox or anywhere else. The recommended action is exactly that: a recommendation, for a person on the security team to act on.
Posts the verdict
Every reported email produces one Slack post within 15 minutes: a risk tier, the specific indicators found such as the failed authentication, the mismatched link, or the suspicious attachment, and a recommended action. Security reads it and decides whether to block the sender, warn affected staff, or close it out as benign.
Runs in your environment
Every run happens in your own infrastructure, reaching only the phishing report inbox and the security channel. Your data never leaves it, and nothing else does either.
Recommend only
The AI Employee analyzes, classifies, and recommends. It never blocks a sender, deletes or quarantines mail, or takes any other remediation action. Every action it names is for a human to carry out.
Read only on the mailbox
Its access to the report inbox is strictly one directional. It reads reported messages and writes nothing back to the mailbox.
Credentials stay protected
The Email credential connects with permissions you set; it stays in memory, never written to disk, never exposed to the model.
You own every rule
The indicator rulebook, the risk tiers, and the per system permissions are yours, versioned and changed on your terms, not in a vendor dashboard.
Reports that used to wait for someone to have a free moment now get a verdict within 15 minutes, with the specific indicators laid out and a recommended action attached. The AI Employee never touches a sender or a mailbox; the security team still makes every call, just with the analysis already done.
15 min
Worst case delay before a reported email gets a verdict
Read only
Nothing blocked, deleted, or changed in the mailbox automatically
3 signals
Headers, links, and attachments checked on every report
Our free AI audit shows you where AI fits, what your security risks are, and gets your first AI employee working.
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Sweeps cloud infrastructure against policy daily, files each drift finding to Slack, and proposes remediation as a reviewed change. It detects and proposes; a named human applies the fix.
×How do you fully cut off access the day someone leaves?
Runs the full offboarding checklist across SSO, Workspace, Drive, and GitHub the day a departure is marked. The ownership transfer pauses for a named human, and it never deletes an account.
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How do you grant least privilege access without the wait?
Checks each access request against policy, scopes it to the least privilege that unblocks the work, and prepares the grant, applying nothing until a named human signs off, with a record left behind.
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