IT OPS

Weekly Cloudflare WAF Compliance Report → Confluence + Slack

Each week, compares live Cloudflare WAF rules against the IaC baseline across zones and publishes a compliance report to Confluence summarizing in-sync vs drifted rules.

CategoryIT Ops
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts report build
  • ActionPull WAF rules per zone from CloudflareCloudflareCloudflare
  • ActionRead approved baselines from GitHubGitHubGitHub
  • LogicCompute per-zone compliance and drift details
  • ActionPublish dated report page to ConfluenceConfluenceConfluence
  • OutputPost report link and compliance figure to SlackSlack

What it does

Produces a recurring, shareable compliance artifact. It measures how closely your live WAF configuration matches the approved baseline, counts in-sync versus drifted rules per zone, and publishes a dated report page to Confluence for auditors and leadership.

When to use it

Use this when you need evidence for audits (SOC 2, ISO, PCI) showing WAF change control is enforced and tracked over time — not just point-in-time alerts. The Confluence page becomes the record; Slack notifies the team it's ready.

How it works

  1. 1A weekly schedule starts the report build.
  2. 2Cloudflare returns WAF rules for each in-scope zone.
  3. 3A GitHub action reads the approved baseline definitions.
  4. 4A logic step computes per-zone compliance: total rules, in-sync count, drifted rules with details, and an overall compliance percentage.
  5. 5A Confluence action publishes a dated report page under the compliance space.
  6. 6A Slack output posts the report link and the headline compliance figure.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  2. 2
    Connect GitHubRepos, issues, pull requests, actions.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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