SECOPS

Deploy-Correlated WAF Spike Guard via Vercel Events

Triggered by a Vercel deployment, this workflow watches for WAF block spikes that started right after the deploy and flags them as deploy-induced false positives in Slack before…

CategorySecOps
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerVercel production deployment succeedsVercelVercel
  • LogicOpen post-deploy observation window
  • ActionQuery Cloudflare for block-rate rises in windowCloudflareCloudflare
  • ActionCheck Sentry for new errors tied to the releaseSentrySentry
  • LogicLink spike to deploy on timing and version match
  • OutputPost deploy-correlated false-positive notice to SlackSlack

What it does

Listens for Vercel production deployments and, for a short window afterward, watches Cloudflare WAF block rates. If a rule's blocks spike immediately after the deploy and Sentry shows fresh errors on the same routes, it concludes the deploy changed request shapes in a way the WAF now mis-flags, and posts a deploy-correlated false-positive notice to Slack so the team adjusts the rule instead of chasing a phantom attack.

When to use it

Use it on apps where deploys frequently shift URL patterns, headers, or payloads and trip existing WAF rules. It ties the spike directly to the release that caused it.

How it works

  1. 1A Vercel deployment-succeeded event triggers the workflow.
  2. 2A logic step opens a post-deploy observation window.
  3. 3An action queries Cloudflare for rules whose block rate rose during that window.
  4. 4An action checks Sentry for new errors on the same routes tied to the new release version.
  5. 5A logic step links the spike to the deploy when timing and release version align.
  6. 6An action posts a deploy-correlated false-positive notice with the rule and release to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect VercelDeploys, runtime logs, analytics.
  2. 2
    Connect CloudflareWorkers, Pages, R2, KV — the edge stack.
  3. 3
    Connect SentryErrors, performance, releases.
  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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