Part 5: AI Incident Response (RS.MI)
Preparing for AI Security Incidents
AI introduces new types of cybersecurity incidents that traditional response plans may not fully address.
Examples include:
Exposure of confidential data through generative AI outputs
Manipulation of AI models affecting automated decisions
Compromised training data altering system behavior
Abuse of AI tools for internal reconnaissance
The Respond function of NIST CSF 2.0 emphasizes effective incident management processes.
Incident Response Planning for AI
Organizations should prepare response procedures for AI-specific scenarios such as:
Containing compromised AI systems
Revoking access to affected AI services
Investigating training data integrity
Coordinating with AI platform vendors
Response plans should also address legal, privacy, and regulatory implications associated with AI incidents.
Continuous Improvement
Following AI incidents, organizations should review lessons learned and strengthen controls to prevent similar issues in the future.
Effective incident response ensures organizations can contain AI-related threats while maintaining operational resilience.
William Tulaba is a cybersecurity executive and security engineering leader focused on enterprise security strategy, cloud risk, and security operations.