This document summarizes a research paper that proposes a novel method for detecting data leakage. The method involves distributing data to agents while adding fake objects using watermarking. If leaked data contains fake objects, the agent that received those objects can be identified as guilty of the leakage. The paper outlines existing data leakage detection techniques, proposes a methodology using fake objects and watermarking, and models the probabilities of agents being guilty of leakage given the leaked data. The addition of fake objects allows detection of leakage without modifying real data objects.