Vulnerability reports

Builds the periodic report from the scanners themselves, so every open finding carries an owner, a deadline and a visible status.

No ready-made setup for this job yet.

Describe the job in a sentence, the way you would brief a colleague: when it should happen, what to check, and what to hand you. That sentence is the automation.

The job, and what good looks like.

The periodic vulnerability report is usually rebuilt from scratch each cycle, which means the numbers move for reasons nobody can explain and the same finding appears under two different names. This workflow builds it from the scanners directly. It matches each open finding to an asset, an owning team and a named contact, carries the deadline and age across from the tracking system, and collapses duplicates from different tools into one line that lists its sources, so the totals reconcile with the scanners rather than with a spreadsheet. Findings past their deadline, findings carrying an approved exception, and findings that have come back on the same host for the fourth time are separated into their own sections instead of being averaged into one percentage. Every line shows one owner, so the review meeting spends its time on the unowned and the overdue rather than on the total. The finished report is written to the compliance record, and exceptions are checked for expiry, which is what stops an accepted risk living forever. A human still decides the priority order, which findings to raise as accepted risk, and how the report describes a coverage gap.

When it is handled

  • Report totals reconcile with the scanners
  • Every open finding shows a named owner
  • Overdue items called out by name
  • Accepted risks carry an expiry date

Works with tools like

  • Qualys
  • Tenable.io
  • Rapid7 InsightVM
  • Vanta
  • Jira Service Management

You stay in charge.
At every step.

It triages and sweeps. People approve every change.

  • No change without approval

    Blocking, revoking and purging wait for an analyst's OK.

  • Every run on the record

    What it read, what it did and what it is waiting on, kept for review and audit.

  • Scoped per automation

    Each automation gets only the access you grant it, and a local model can keep processing on your machine.

Before you download.

Where does it run?
On your Mac or Windows computer, in the background. It keeps working after you close its window, and only reaches the folders and apps you connect for each automation.
How does it connect to our CRM and other tools?
Through each app's own connection where it offers one, signed in once by you, or by using the app in a browser the way you would. Each automation gets only the connections you give it, and the tools a page names are examples you can swap for your own.
Does it run when my computer is asleep?
It keeps your computer awake while a job runs and just before a scheduled one. While the computer is closed or off, nothing runs; when it wakes, it checks the inbox, calendar and other sources it watches for anything that arrived meanwhile.
How does my team use it?
Each person who runs automations installs the app. Keep a project in a shared folder, such as Google Drive or a network drive, and teammates can open it and follow every run, while one person owns it and runs it.
Do I need anyone technical to set it up?
No. Download the app, add an automation in plain words, and connect only what that job needs. Nothing runs until you switch it on.

Already have tools for this? Here is the difference.

Scripts and scheduled jobs

Precise, repeatable system tasks.

They break on the unexpected, and only their author can read or change them.

Security automation platforms

High-volume response playbooks in large teams.

They need a project to set up and an engineer to maintain each playbook.

AI chat assistants

Explaining an alert when you paste it in.

Nothing runs on schedule, and there is no scoped access or record of what was done.

AUTOMATE.md

Your routine, written in plain words. It runs on its own, follows your rules, handles the exceptions a flowchart can't, and asks you when it matters. The file stays yours, whichever AI model runs it.

Start with one job.
Make it your own.

macOS — coming soon
  1. 1

    Get the app

    It runs on your computer, next to your files.

  2. 2

    Add the automation

    Paste the instructions into the app, or save them as a file next to your work.

  3. 3

    Try it, then turn it on

    Run it once and check the result. It only runs on its own once you switch it on.