Building an AI-powered incident response workflow in n8n

Viraj and Dmitry, experienced in customer success and cybersecurity automation, present a framework designed to enhance incident response efficiency by leveraging AI and automation, addressing challenges such as high mean time to resolution and analyst burnout. The framework employs Retrieval Augmented Generation (RAG) pipelines to capture and reuse incident resolution reasoning, thereby reducing the repetitive workload on analysts and allowing them to focus on tasks requiring human creativity. It incorporates AI safely into Security Operations Center (SOC) workflows, ensuring clear boundaries to prevent mislabeling threats and handling sensitive data securely. The system uses n8n to automate repetitive tasks, retrieves relevant playbooks, historical incidents, and threat intelligence to produce structured runbooks, and allows teams to adjust AI involvement according to their risk tolerance. The framework aims to streamline SOC processes by integrating automated enrichment and notification workflows while maintaining human oversight for actions with significant consequences, providing a scalable solution to improve organizational security posture.

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