SECOPS

Escalate OAuth grants by privileged users on-call

When an admin or other privileged user consents to a high-scope OAuth app, it pages the on-call security responder immediately and opens an incident.

CategorySecOps
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerHigh-scope grant receivedHTTP webhook
  • LogicCheck user against privileged roster
  • ActionPage on-call security responderPagerDutyPagerDuty
  • ActionPost incident summary to channelSlack
  • OutputLog escalation for incident metricsDatadogDatadog

What it does

Applies the harshest scrutiny to the most dangerous combination: a privileged account (admin, finance, executive) granting broad OAuth scopes. A grant that would be routine from a standard user becomes a paging-worthy incident here, because compromise of a privileged consent can expose the whole tenant. It pages on-call and spins up an incident in one motion.

When to use it

Use this when privileged-account OAuth consent is a tracked incident-response trigger and a delayed review is unacceptable. It is the escalation tier above routine grant triage, reserved for accounts whose access could cascade.

How it works

  1. 1A webhook receives a high-scope consent grant.
  2. 2A logic step checks the consenting user against the privileged-account roster and exits if the user is standard.
  3. 3A PagerDuty incident is triggered for the on-call security responder with the app and scope context.
  4. 4An action posts the incident link and a one-line summary to the security channel.
  5. 5The final output logs the escalation event to the time-series store for later incident metrics.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect PagerDutyIncidents, on-call, escalations.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Connect DatadogMetrics, traces, log search.
  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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