AI Incident Response is a specialized extension of traditional cybersecurity incident response that addresses the unique challenges posed by AI-related security events. It provides a structured framework for handling incidents such as data leakage through AI tools, prompt injection attacks, model manipulation, and unauthorized AI usage.
AI-specific incident types include: sensitive data exposure through AI prompts, prompt injection attacks on AI-powered applications, model poisoning or manipulation, unauthorized AI tool deployment, AI-generated misinformation published externally, compliance violations from AI data processing, AI system outages affecting business operations, and intellectual property exposure through AI services.
An AI incident response plan should include: detection mechanisms (monitoring and alerting for AI-related anomalies), classification criteria (severity levels specific to AI incidents), containment procedures (blocking AI tool access, revoking API keys), investigation processes (analyzing AI audit trails and data flows), remediation steps (data deletion requests to AI providers, policy updates), communication protocols (internal notification and external reporting), recovery procedures (restoring normal AI operations safely), and lessons learned (updating AI governance policies).
Organizations should integrate AI incident response with their existing security operations center (SOC) and ensure incident responders receive AI-specific training on the tools and risks involved.
