AI AGENTS

Weekly WAF ruleset hygiene audit

Once a week an agent audits the entire Cloudflare WAF ruleset against the week's traffic, flagging rules that never fire, overlap, or generate mostly false positives.

CategoryAI Agents
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule kicks off the audit
  • ActionFetch active ruleset and week of eventsCloudflareCloudflare
  • LogicCompute per-rule hit, benign ratio, overlap
  • ActionOpen Linear issue per findingLinearLinear
  • OutputPost audit scorecard to SlackSlack

What it does

A standing hygiene pass over your whole WAF config. It compares each custom and managed-override rule against a week of firewall events to find dead weight: rules that never matched, rules whose matches are overwhelmingly benign, and rules that duplicate or shadow each other. It produces a prioritized cleanup list so the ruleset stays lean and trustworthy.

When to use it

When your WAF ruleset has accreted over months of incidents and nobody's sure which rules still earn their place. Run it weekly to keep false-positive risk and rule sprawl in check.

How it works

  1. 1A weekly schedule kicks off the audit.
  2. 2The agent fetches the active WAF ruleset and the week's firewall events from Cloudflare.
  3. 3It maps every match back to a rule and computes per-rule stats: hit count, benign-versus-hostile ratio, and overlap with other rules.
  4. 4It ranks rules as keep, retune, or retire with reasoning for each.
  5. 5It opens a Linear issue per actionable finding and posts a summary scorecard to Slack for the security team.

Set it up

What you configure once, before turning it on.

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

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