CNCF-hosted Co-located Events Europe 2025

Tetragon delivers powerful runtime security logs, offering unmatched granularity. However, these detailed insights can overwhelm users with an endless stream of alerts and events. Usual approaches include tracing policy tuning, aggregating, and then visualising data on dashboards, however, not everything is meant for human consumption.

This talk introduces a fresh approach: integrating Tetragon’s runtime telemetry with LLM-powered AI agents. By leveraging a simple Retrieval-Augmented Generation (RAG) architecture, we enable AI agents to automate workflows directly on top of Tetragon events. These agents can perform tasks such as correlating vulnerabilities with runtime context and extracting actionable insights for human consumption—without relying on dashboards.