IT OPS
Patch Drift Investigator Agent
On demand, an agent pulls the list of stale endpoints, researches each missing patch's known issues and rollback risk.
How it runs
The automated pipeline, trigger to output.
- TriggerOperator manually triggers the investigator
- ActionQuery stale endpoints and missing patch idsPostgres
- ActionResearch vendor advisories and known regressionsExa
- LogicWeigh security urgency against rollback risk
- ActionOpen an enriched remediation ticket per deviceLinear
- OutputReturn recommendations grouped by urgencyLinear
What it does
An agent takes the raw stale-device list and does the analyst legwork for each one: looks up the missing patch, weighs known regressions against the security risk, and writes a remediation ticket that already contains a recommendation and a proposed maintenance window.
When to use it
Use this when patch drift exists but the bottleneck is judgment, not detection. Engineers spend hours deciding whether a patch is safe to deploy; the agent drafts that decision so they only review and approve.
How it works
- 1An operator manually triggers the investigator for the current drift batch.
- 2The agent queries Postgres for the stale endpoints and their missing patch ids.
- 3For each patch it researches the vendor advisory and known regressions via web search.
- 4It reasons over security urgency versus rollback risk to form a recommended action.
- 5It opens a Linear ticket per device with the recommendation, evidence links, and a draft change-window note.
- 6It returns a summary of recommendations grouped by urgency as the output.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 2Connect ExaNeural search across the web.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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