Incident Response Runbook for Generative AI and Agentic AI in Regulated Industries

Document Information

• Template Version: 1.0

• This template is provided to our paid subscribers in substack with preview for free subscribers

• Industry Focus: Generative AI and Agentic AI in Regulated Sectors (e.g., Finance, Healthcare, Critical Infrastructure)

• Purpose: This runbook provides a structured process for responding to incidents involving Generative AI (e.g., content generation models) and Agentic AI (e.g., autonomous agents) systems, ensuring rapid containment, minimal impact, and compliance with regulatory requirements.

• Responsible Parties: Incident Response Team (IRT), IT Security, Compliance Officer, Legal Team, Business Continuity Manager

Introduction

Incidents involving AI systems in regulated industries can have severe consequences, including data breaches, biased decision-making, operational disruptions, and regulatory penalties. This runbook outlines a systematic approach to incident response, aligned with frameworks such as NIST SP 800-61 and ISO 27035, adapted for AI-specific scenarios.

Key Objectives:

• Minimize impact on operations and data integrity.

• Ensure compliance with reporting requirements (e.g., within 72 hours for breaches).

• Preserve evidence for forensic analysis and legal proceedings.

• Restore normal operations as quickly as possible.

• Learn from incidents to improve future resilience.