AI Incident Response

AI Incident Response is the specialized cybersecurity framework used to detect, contain, investigate, and remediate high-risk events involving generative AI. Traditional incident response plans are heavily geared toward network intrusions, malware, or phishing. Generative AI introduces entirely novel threat vectors—such as prompt injection, training data poisoning, and automated PII leakage via conversational interfaces—that traditional playbooks are entirely unequipped to handle.

A mature AI incident response strategy requires automated detection and immediate containment. If an employee accidentally pastes a highly sensitive, unreleased quarterly earnings report into a public LLM, the security team cannot afford to wait 24 hours for a daily log digest. The response must be instantaneous. A platform like Remova acts as the first line of defense, automatically blocking the transmission and instantly alerting the Security Operations Center (SOC).

Furthermore, investigation in the AI era requires deep, contextual audit trails. Responders need to see the exact sequence of prompts that led to the violation to determine intent. Was the employee maliciously trying to exfiltrate data, or were they simply trying to use the AI to format a messy spreadsheet? By integrating AI governance platforms directly into existing SIEM and SOAR tools, organizations can update their incident response playbooks to handle the unique velocity and context of generative AI.