The authors of this report developed and tested the potential for new interviewing methods, including the use of machine learning (ML), to detect speech patterns that reflect attempts at deception or truthfulness during simulated background investigation interviews. They found that ML models are promising tools that have the capacity to augment existing security clearance background investigation processes.