This document summarizes a presentation on unobtrusive data leakage detection. It introduces the problem of data leakage, traditional detection methods, and proposes a new system. It describes the entities involved, including data distributors, agents requesting data, and leaked data. It then presents three guilt models for determining the probability an agent leaked data given what was leaked. Finally, it discusses strategies for distributing data to agents in a way that minimizes overlap between the data sets, to help identify the source of any leaks.