Assessment of AI-specific incident response procedures, recovery capabilities, and business continuity planning
AI Incident Response and Recovery focuses on the organization's ability to detect, respond to, and recover from AI-specific incidents and failures. This domain addresses incident response procedures, rollback capabilities, backup strategies, business continuity planning, post-incident analysis, and specialized training for AI incidents.
Effective incident response for AI systems is critical as these systems can fail in unique ways that traditional incident response procedures may not adequately address. Organizations must develop specialized capabilities to handle AI-specific incidents, including model failures, ethical breaches, and adversarial attacks, while ensuring business continuity and minimizing impact.
Evaluation of incident response procedures that address unique AI failure modes, security incidents, and ethical breaches.
Key Control: CIS Control 17, NIST CSF 2.0 (RESPOND function)
Assessment of rollback capabilities for AI systems, including version control, configuration backups, and deployment automation.
Key Control: CIS Control 11, NIST CSF 2.0 (RECOVER function)
Evaluation of backup procedures for AI assets, including models, training data, and configurations, with regular testing of restoration processes.
Key Control: CIS Control 11, ISO 42001 Section 7.5
Assessment of business continuity planning that addresses AI system failures, including alternative processes and recovery time objectives.
Key Control: NIST CSF 2.0 (RECOVER function), ISO 42001 Section 6.1
Evaluation of post-incident analysis processes for AI-related incidents, including root cause analysis, impact assessment, and improvement recommendations.
Key Control: CIS Control 17, NIST AI RMF (MANAGE function)
Assessment of specialized training for incident response team members on AI-specific incident scenarios, including technical, ethical, and reputational aspects.
Key Control: CIS Control 17, NIST CSF 2.0 (RESPOND function)
AI systems can experience unique types of incidents that require specialized response procedures:
Several industry standards provide guidance on AI incident response:
Answer these key questions to quickly evaluate your AI incident response maturity:
Your organization appears to be at a basic level of AI incident response maturity.
Next steps: Develop AI-specific incident response procedures and implement basic rollback capabilities.