AI AGENTS

WAF rule change as a reviewed GitHub pull request

An agent turns approved false-positive findings into a pull request against your Terraform/Cloudflare-as-code repo, with the rule diff, rationale, and a rollback note.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerApproved rule proposal received
  • ActionRead current WAF ruleset file from repoGitHubGitHub
  • LogicCompose rule diff, rationale, and rollback note
  • ActionOpen pull request on new branchGitHubGitHub
  • OutputPost PR link to SlackSlack

What it does

For teams that manage Cloudflare WAF as code, this takes a proposed skip-rule change and opens a GitHub pull request that edits the ruleset definition file. The PR body documents which false-positive cluster motivated the change, the exact expression added, and how to roll back. Your existing branch protections and reviewers stay in control.

When to use it

When WAF config is version-controlled (Terraform, Wrangler, or a custom rules JSON) and every change must land through PR review rather than a live API edit. Pairs well with the false-positive tuner feeding it candidates.

How it works

  1. 1An approved rule proposal (from Slack or an upstream workflow) triggers the run.
  2. 2The agent reads the current ruleset file from the GitHub repo to find the right insertion point.
  3. 3It edits the file to add the scoped skip rule and writes a clear commit message plus PR description with rationale and rollback steps.
  4. 4It opens a pull request on a new branch and requests the security team as reviewers.
  5. 5It posts the PR link to Slack so the requester knows it's ready for code review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.