Automated AI Domain Exception Detection

Automated AI Domain Exception Detection

Automated AI Domain Exception Detection

This automation reviews generative AI DNS activity, compares observed domains with the approved AI application list, and identifies exceptions. When unapproved activity is found, it delivers a consolidated alert and opens a security incident for review.

AI Security Compliance

Security Monitoring

Detection

Incident Response

Trigger

An on-demand webhook starts the workflow, with the process originally configured to run daily at 07:00 in Europe/Paris.

Outcome

A consolidated exception summary is posted to Teams and a security incident is created in ServiceNow when unapproved generative AI domains are detected.

Trigger

An on-demand webhook starts the workflow, with the process originally configured to run daily at 07:00 in Europe/Paris.

Outcome

A consolidated exception summary is posted to Teams and a security incident is created in ServiceNow when unapproved generative AI domains are detected.

Before

An analyst inspected generative AI activity and manually checked each observed application or domain against the approved list. The analyst then had to summarize exceptions, notify the security team, and open a case for follow-up.

How it works

  1. Collect the previous 24 hours of generative AI DNS activity and retrieve the approved AI application and domain list.
  2. Compare the observed activity with the allowlist and determine whether unapproved domains or applications are present.
  3. Consolidate any exceptions, notify the security team in Teams, and create one ServiceNow incident for the run.

Workflow details

  • Trigger and collection: An on-demand webhook starts the workflow, which reads generative AI DNS activity for the previous 24 hours and retrieves the approved AI application and domain list.
  • Automated validation: The workflow compares observed DNS records with the approved list and isolates distinct unapproved domains, including their request counts and associated identities.
  • Exception decision: If no unapproved activity is found, the run completes without sending alerts or creating a ticket; otherwise, the detections are consolidated into a single summary.
  • Notification and case creation: The summary is posted to a Teams channel and used to create a security-category ServiceNow incident with the detected domain details.
  • Operational result: Each exception run produces one consolidated notification and one incident, giving security a consistent handoff for investigating unapproved generative AI usage.

What changed

The 24-hour review, allowlist comparison, exception decision, summary creation, notification, and ticket handoff now happen automatically. Clean runs end without an alert, while detected gaps generate one consolidated Teams message and one ServiceNow incident.

Work removed

Reviewing DNS activity one record at a time, cross-checking domains against the approved list, identifying associated users and request counts, compiling exception summaries, notifying the security team, and manually opening a ServiceNow incident.

Expected outcome

Consistent daily or on-demand coverage of generative AI domain exceptions, with one consolidated notification and one incident per run when unapproved activity is found.

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Less busywork. More possibility.

Let your agents handle the routine. Make room for what comes next.

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France

Automation intelligence, delivered monthly.

Product releases, automation playbooks, and security research โ€” straight to your inbox. No spam, unsubscribe anytime.

ยฉ 2026 Mindflow โ€” All rights reserved.

SOC 2 Type II
ISO 27001
GDPR
France 2030
Bpifrance
รŽle-de-France
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