SECOPS

Weekly WAF Rule Tuning Report to Notion

Compiles a weekly digest of the noisiest WAF rules and their false-positive rates, then publishes a prioritized tuning backlog to a Notion database the secops team works through.

CategorySecOps
EngineSim + Paperclip
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule starts the report
  • ActionPull 7 days of Cloudflare WAF events and challenge outcomesCloudflareCloudflare
  • LogicRank rules by volume and estimate false-positive ratio
  • ActionGenerate per-rule tuning recommendations
  • OutputUpsert prioritized backlog rows into Notion databaseNotionNotion

What it does

Each week it aggregates Cloudflare WAF firewall events, ranks managed and custom rules by total blocks and estimated false-positive ratio, and writes a clean tuning backlog into Notion. Each entry includes the rule ID, block volume, top blocked paths, suspected legitimate traffic, and a recommended action (tighten, loosen, add exception, or leave).

When to use it

Use it to run a steady tuning cadence instead of only reacting to fires. It gives the team a ranked, evidence-backed worklist so the highest-noise rules get attention first.

How it works

  1. 1A weekly schedule kicks off the report job.
  2. 2The workflow pulls seven days of Cloudflare WAF events and challenge outcomes.
  3. 3Logic ranks rules by block volume and computes a false-positive estimate from solved challenges and known-good signatures.
  4. 4Each ranked rule becomes a recommendation with supporting samples.
  5. 5The digest is upserted as rows into a Notion tuning-backlog database, updating existing rule entries in place.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  2. 2
    Connect NotionPages, databases, comments.
  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.

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