AI Incident Playbooks
Overview
AI Incident Playbooks define how your organization responds to AI-related incidents.
They standardize workflows for detection, investigation, and remediation.
What Playbooks Do
Playbooks automate and guide:
Incident triage
Notifications
Approvals
Remediation actions
Escalation workflows
Example Playbook
Scenario: Sensitive data sent to external model
Steps:
Create incident
Notify security team
Block further requests
Require approval for retry
Log and audit event
Playbook Components
Triggers
Define when the playbook runs
Steps
Define actions taken during response
Conditions
Branch logic based on context
Integrations
Connect to external systems (Slack, Jira, etc.)
Automation vs Human Review
Playbooks support both:
Fully automated responses
Human-in-the-loop workflows
Benefits
Faster incident response
Consistent handling of risks
Reduced manual effort
Improved auditability
Best Practices
Start with simple workflows
Add branching as needed
Integrate with existing incident systems
Review and refine regularly
Next Steps
Learn about [Incident Creation and Triage]
Connect integrations for response workflows