Researchers introduced CIPL, a framework for evaluating privacy leakage in LLM (Large Language Model) agents. CIPL assesses how sensitive information is exposed through various channels, providing a common framework for comparing internal sensitive dependence to externally recoverable leakage across different agent pipelines.