AI incidents are not just traditional cyber incidents in a new wrapper. Leaked prompts, harmful outputs, manipulated agents, biased decisions, and vendor outages all require their own planning. A well-prepared AI incident response capability turns confusion into control, minimizes harm to customers and the business, and accelerates a thoughtful, well-communicated recovery.
- Document an AI-Specific Response Plan:
- Define Roles: Identify the incident commander, technical responders, communications lead, legal counsel, and executive sponsor for AI incidents in advance.
- Map Escalation Paths: Clarify when an AI issue is handled within IT and when it must escalate to executives, legal, regulators, or affected customers.
- Prepare for Common AI Incident Types:
- Data Leakage Scenarios: Plan responses for prompts or uploads sent to inappropriate AI tools, including containment, vendor engagement, and customer notification where required.
- Output and Agent Failures: Prepare playbooks for harmful or biased outputs, hallucinations affecting customers, prompt injection attacks, and misbehaving agents that take unintended actions.
- Establish Detection Capabilities:
- Baseline Normal Behavior: Understand typical patterns of AI usage, request volumes, common topics, and output patterns so anomalies are easier to spot quickly.
- Centralize Alerts: Aggregate AI usage logs, vendor alerts, and customer complaints into a single workflow so signals are not lost across systems and teams.
- Practice Containment and Recovery:
- Rehearse Containment: Make sure responders know how to quickly disable AI tools or agents, revoke API keys, and pause integrations without breaking unrelated business processes.
- Restore from Clean Sources: Define which backups, configurations, and guardrails to use during recovery, and how to validate that restored systems are free of the original issue.
- Communicate Clearly:
- Internal Coordination: Use predefined channels, templates, and escalation rules so internal teams receive consistent, timely information throughout the incident.
- External Notifications: Prepare templates for customer, partner, and regulator notifications so communications during a stressful event remain accurate, timely, and aligned with legal obligations.
- Test the Plan Regularly:
- Tabletop Exercises: Run at least one AI-focused tabletop exercise each year, varying scenarios across leakage, harmful output, vendor outage, and agent misbehavior themes.
- After-Action Reviews: After every real incident or exercise, document what worked, what did not, and what changes are needed in policy, configuration, training, or tooling.
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