Katharine Jarmul

Katharine Jarmul is an internationally recognized author, lecturer, and privacy researcher who has worked in machine learning and large-scale data analysis for 15 years. The channel teaches technical and social aspects of privacy, covering topics like AI agent security, privacy benchmarks, static code analysis, and guardrails for LLM workflows, with a focus on tools like OpenShell, HuggingFace, and Meta's llamafirewall.

The channel states it provides an open conversation on privacy intersections with surveillance, law, technology, and mathematics. It covers practical applications such as self-hosting data, building AI privacy routers, and using local LLMs for data privacy, alongside discussions on risk escalation and moving beyond PII removal for true anonymization.