SECOPS
Agent-triage GitLab MRs by sensitivity and log the rationale to Confluence
An agent reviews each GitLab MR's changed files, decides a sensitivity tier with a written rationale, applies the matching label.
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab MR opened or updatedGitLab
- ActionFetch changed files + diff contextGitLab
- LogicAgent reasons risk and picks tier + rationale
- ActionApply chosen sec:: label to MRGitLab
- OutputAppend triage entry to Confluence security logConfluence
What it does
This workflow uses an agent to make a judgment call that simple path rules miss. For each new or updated MR it reads the changed files plus the diff context, reasons about the actual risk (for example, a config-only change to an auth module may be low risk while a logic change is high), assigns a `sec::*` tier with a short rationale, and records the decision in a Confluence audit log so the reasoning is reviewable later.
When to use it
Use it when rigid path matching produces too many false alarms and you want explainable, context-aware triage with a durable paper trail for compliance reviews.
How it works
- 1A GitLab MR webhook fires on open or update.
- 2The agent fetches the changed files and surrounding diff context.
- 3It reasons about real risk and selects a sensitivity tier plus a one-paragraph rationale.
- 4It applies the chosen `sec::*` label to the MR.
- 5It appends a timestamped triage entry — MR, tier, rationale — to the Confluence security log page.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect ConfluenceSpaces, pages, blueprints.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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