In this talk, I will show how an AI agent can run Python code, add markdown, and work through security datasets inside a live Jupyter notebook. I will walk through open-source tools that make it easy to connect to data sources and support this workflow. We will see how analysts can watch the agent’s reasoning, review the notebook as it builds, and reuse the steps for new playbooks. This approach enables deeper analysis, cleaner visuals, and faster iteration while keeping humans in control. It also gives analysts a simple way to test and understand how agentic workflows can support their existing investigation process.

Talk (60 min)

NDC { Security }

Agenda

13:40 - 14:40 (UTC+01)

Web Tracking Technologies

Yana Dimova

AI Agents and Jupyter Notebooks for Security Data Analysis

Roberto Rodriguez