This report contains guidance from the Coalition for Integrity on Using Machine Learning for Anti-Corruption Risk and Compliance and discusses how data analytics and machine learning can prove indispensable in combing through massive quantities of financial and non-financial data to identify potential patterns of corrupt conduct. The report is intended to provide companies in multiple sectors with guidance on what they should consider in developing or acquiring anti-corruption machine learning.