24.5.3 Escalation Matrix

2025.10.06.
AI Security Blog

An escalation matrix is the nervous system of your incident response plan. It removes ambiguity by defining a clear, time-bound path for raising an issue from initial detection to executive-level awareness. For AI systems, where incidents can range from subtle performance degradation to catastrophic ethical failures, this structured pathway is not just helpful—it’s essential for controlled, effective crisis management.

This matrix ensures that the right people with the right skills and authority are engaged at the appropriate time. It prevents both over-reaction to minor issues and under-reaction to critical threats. Use the following template as a foundation, adapting the roles, timeframes, and triggers to your organization’s specific structure and risk tolerance for its AI assets.

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Sample AI Incident Escalation Matrix

This table outlines a tiered response protocol based on incident severity. Each level has defined triggers, response teams, and escalation timelines.

Severity Level AI-Specific Triggers & Examples Initial Response (Tier 1) & Timeframe Escalation Path (Tier 2/3) Executive Notification
Critical
  • Systemic PII/sensitive data leakage via model output.
  • Model manipulation enabling unauthorized system access (e.g., privilege escalation).
  • Widespread generation of illegal, unsafe, or highly offensive content.
  • Complete, unrecoverable model service outage affecting critical business functions.
AI/ML Ops & SOC:

Immediate engagement.

Escalate within 15 minutes.
Tier 2 (within 30 mins): Head of AI Security, Lead ML Engineer, Incident Commander.

Tier 3 (within 1 hour): CISO, Head of AI, Legal Counsel.
CIO/CTO, CEO, and Legal Counsel notified by CISO within 2 hours. Board notification considered.
High
  • Persistent, high-impact model bias affecting a protected class.
  • Successful prompt injection or model evasion attack with significant business impact.
  • Major data poisoning event detected.
  • Severe model performance degradation impacting key revenue streams.
AI/ML Ops Team:

Acknowledge within 15 mins.

Escalate within 1 hour.
Tier 2 (within 2 hours): AI Security Lead, Senior Data Scientist.

Tier 3 (within 4 hours): Head of AI Security, Incident Commander.
CISO and Head of AI notified by Incident Commander within 8 hours.
Medium
  • Intermittent model hallucinations causing user confusion or minor business errors.
  • Evidence of a developing adversarial attack that is currently contained.
  • Anomalous model behavior or drift detected by monitoring, cause unknown.
  • Localized service disruption for a non-critical AI feature.
AI/ML Ops Team:

Acknowledge within 1 hour.

Escalate within 4 hours.
Tier 2 (within 8 business hours): Assigned ML Engineer or Data Scientist.

Tier 3 (if unresolved in 24h): AI Security Lead.
Discretionary notification to Head of AI via summary report. No immediate executive action required.
Low
  • Isolated, non-sensitive, and easily correctable inaccurate model outputs.
  • Minor bugs in the AI application interface.
  • User feedback indicating slight dissatisfaction with model responses.
  • Monitoring alerts that are likely false positives but require investigation.
Tier 1 Support/AI Ops:

Acknowledge within 8 business hours.

Tracked via ticketing system.
Escalated to the relevant product/engineering team backlog as a standard bug or feature request. None. Handled through standard operational procedures and reporting.

Defining Roles and Responsibilities

Clarity in roles is paramount for the matrix to function correctly. While titles vary, the responsibilities are generally consistent.

  • AI/ML Ops & SOC (Tier 1): The front line. Responsible for initial detection, verification, and triage of alerts from monitoring systems. They execute initial containment steps from the playbook.
  • AI Security Lead (Tier 2/3): The subject matter expert for AI-specific threats. They lead the technical investigation into adversarial attacks, model vulnerabilities, and data integrity issues.
  • Lead ML Engineer / Data Scientist (Tier 2): Responsible for the technical details of the model itself. They analyze model behavior, performance metrics, and data pipelines to identify the root cause of an incident.
  • Incident Commander (IC): The overall coordinator for High and Critical incidents. The IC does not perform the technical work but ensures all teams (technical, legal, comms) are synchronized and have the resources they need.
  • Head of AI / CISO (Executive): Senior leadership responsible for business risk. They are the primary recipients of escalated information and make strategic decisions regarding public disclosure, resource allocation, and business continuity.
  • Legal Counsel: Engaged for incidents with potential legal, regulatory, or compliance implications, such as data breaches or discriminatory outcomes.

Integrating the Matrix into Your Workflow

This escalation matrix is not a standalone document. It must be tightly integrated with your other incident handling protocols:

  1. Detection: Automated monitoring tools (as discussed in defensive sections) should be configured to automatically assign a preliminary severity level to alerts, triggering the correct initial response in this matrix.
  2. Response: Once an incident is acknowledged, the steps in the Incident Response Playbook (24.5.1) are executed by the teams specified at the relevant tier of this matrix.
  3. Communication: When an escalation reaches a level that requires management notification or has public impact potential, the triggers in your Communication Plan (24.5.2) are activated. The Incident Commander typically makes this call.

Regularly review and test this matrix through tabletop exercises. An untested escalation plan often fails at the first real crisis. Ensure contact information is always up-to-date and that all personnel understand their roles and responsibilities before an incident occurs.