SECOPS
Weekly Cloudflare WAF Change Digest to Confluence and Slack
Compiles all Cloudflare WAF and ruleset changes from the past week into a reviewable digest, publishes it to a Confluence page.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionQuery past week of WAF change records from AxiomAxiom
- LogicGroup by actor/resource and flag risk signals
- ActionDraft narrative digest with LLMOpenAI
- ActionPublish dated digest page to ConfluenceConfluence
- OutputPost summary and link to security SlackSlack
What it does
Produces a weekly, human-readable summary of every Cloudflare WAF change so the security team has a single artifact to review in their recurring meeting. It groups changes by actor and resource and highlights high-risk edits like disabled rules or loosened actions.
When to use it
Use it to give a recurring change-review cadence to teams that don't watch every Cloudflare edit in real time. It satisfies the periodic-review control auditors look for and keeps stakeholders informed without manual report-writing.
How it works
- 1A weekly schedule triggers the digest run.
- 2The flow queries the past week of change records from Axiom (or the audit table populated by the ingestion workflow).
- 3It groups changes by actor and resource and flags risk signals such as disabled rules, action downgrades to log/allow, or expanded IP scopes.
- 4An LLM step drafts a concise narrative summary with the flagged items called out first.
- 5The digest is published as a dated Confluence page under the security space.
- 6A short summary with the Confluence link is posted to the security Slack channel ahead of the review meeting.
Set it up
What you configure once, before turning it on.
- 1Connect AxiomLog streams, queries, dashboards.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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