Incident Response

Incident Response (IR) is the structured practice of detecting, containing, eradicating, and recovering from cybersecurity incidents such as breaches, ransomware attacks, and insider threats. It combines technical investigation (forensics, log analysis, malware triage) with organizational coordination (communications, escalation, post-mortem reviews). Industry-standard frameworks like NIST SP 800-61 Rev. 3 and the SANS PICERL model give teams a repeatable lifecycle to minimize damage and restore operations quickly.

AI companies store enormous volumes of sensitive model weights, training data, and customer prompts, making them high-value targets that face a growing volume and sophistication of attacks. Regulators worldwide — including the EU AI Act and the U.S. Executive Order on AI — increasingly require documented incident response plans for AI systems, especially those classified as high-risk. As autonomous AI agents introduce new failure modes (prompt injection, model exfiltration, supply-chain poisoning), IR practitioners who understand both classical security and AI-specific threats are among the most sought-after hires in the field.