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security · 1 min read

Incident Response for AI Apps: A Runbook

AI incidents look different from traditional outages. Here is the runbook Bhogar AI uses for prompt-injection, hallucination and provider-outage incidents.

BABhogar AI TeamProduct & Engineering

AI incidents - a successful prompt injection, a viral hallucination, a provider outage - look different from CRUD outages. Your existing runbook covers maybe half.

Why it matters

A useful AI runbook covers detection signals, triage paths, communication templates and rollback procedures unique to AI: prompt rollbacks, KB invalidations, gateway routing changes.

How Bhogar AI approaches it

Bhogar AI ships a reference incident-response runbook with detection signals (telemetry queries), triage decision tree, communication templates and rollback procedures for each common incident class.

  • Detection signals per incident class
  • Triage decision tree
  • Customer-facing communication templates
  • Rollback procedures: prompts, KBs, gateway routes
  • Postmortem template and review cadence

What you get

On-call engineers handle their first AI incident with a script instead of inventing one in real time.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.