AI Incident Response & Escalation
Incident handling for AI-related events
Outcome: Respond to AI incidents with defined escalation, containment, and documentation.
Incident taxonomy, escalation paths, and evidence capture for review.
Implementation Outcome
Defines how AI incidents are identified, escalated, investigated, and resolved within enterprise frameworks.
- AI incident taxonomy and triage guide
- Escalation matrix and response playbook
- Post-incident review template and evidence checklist
Controls & Evidence
- Designed for records retention, version control, and documented review cadence
- Supports internal control alignment and defensible oversight practices
- Produces an audit-reviewable evidence set suitable for internal audit request workflows
Data handling: No submission of sensitive or proprietary data is required to complete the program.
Risk Exposure
Lack of defensible policies or controls can result in significant, unmitigated enterprise risk exposure. This program addresses the risk areas most relevant to this capability.
- No defined path to escalate AI failures or misuse
- Delayed containment of data or security incidents
- Insufficient evidence capture for investigation
- Repeat incidents due to missing corrective actions
Deliverables
AI Incident Playbook
Containment, communications, and remediation steps.
Escalation Matrix
Who to notify and when across Security, Legal, Risk, and Ops.
Evidence & Documentation Checklist
What to capture for review and auditability.
Post-Incident Review Template
Root cause, corrective actions, and control updates.
Governance Lifecycle Integration
- Baseline: Establish policy-aligned use patterns and minimum control expectations across affected teams.
- Oversight: Assign accountable owners, decision rights, and escalation paths for AI-assisted activities.
- Monitoring: Define review cadence, metrics, and control checks aligned to operational reality.
- Documentation: Maintain version-controlled artifacts and evidence suitable for records retention and review.
- Audit Review: Enable internal audit and leadership review with traceable controls, decisions, and evidence.
Buyer Questions
Does this require sharing confidential data with the provider?
No. The program is designed for policy, controls, and safe-use practices. Participants can complete the program without submitting sensitive or proprietary data.
Who should attend?
Security, legal, risk
What evidence is produced for audit review?
Version-controlled artifacts (policy templates, oversight workbook outputs, and control-aligned documentation) suitable for internal audit requests and governance reviews.
How is it deployed?
On-demand delivery with enterprise licensing options. LMS and SSO integration can be included in rollout scoping.
How are artifacts maintained over time?
Artifacts are designed for version control and periodic review. Organizations can align updates to internal change management and records retention requirements.
Request Enterprise Pricing
For rollout scoping (seat counts, deployment model, LMS/SSO integration, and licensing options), request enterprise pricing and deployment scope.