SECOPS
Log every Cloudflare rule proposal and decision to Snowflake
Captures each proposed Cloudflare mitigation rule and its human approve/reject outcome into a Snowflake audit table.
How it runs
The automated pipeline, trigger to output.
- TriggerSlack approve/reject interaction receivedSlack
- LogicNormalize decision into structured record
- ActionEnrich with Cloudflare deployment statusCloudflare
- OutputWrite audit row to Snowflake tableSnowflake
What it does
Gives the bot-surge response process a durable audit trail. Whenever a rule proposal is decided in Slack, this flow records the full context — the trigger evidence, the proposed rule, who decided, and the outcome — into a Snowflake table for compliance and tuning.
When to use it
Run this alongside any of the proposer workflows when you need to answer "why did we challenge that traffic?" weeks later, satisfy SOC 2 change-tracking, or measure how often proposed rules get approved versus rejected so you can tune your thresholds.
How it works
- 1A Slack interaction webhook fires when a reviewer clicks Approve or Reject on a rule proposal.
- 2A logic step normalizes the payload into a structured record: zone, rule definition, surge metrics, reviewer, decision, and timestamp.
- 3An action enriches the record with the rule's current deployment status from Cloudflare.
- 4An output writes the row to a Snowflake audit table for long-term querying and dashboards.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
- 3Connect SnowflakeWarehouses, queries, shares.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
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Run this workflow in your colony.
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