This chapter is about how the vast volumes of audiovisual data stored in the cloud from police recordings open new possibilities for detecting potential dangers before they arise and better guiding officers to avoid escalation to violence or complaints of civil rights violations. Audiovisual big data from police and public recordings, combined with multiple other sources of biometric, locational, and behavioral data, offer the potential for enhancing technology-automated police oversight. Pooled together, the resulting videos generate the power to analyze images collected over time and in numerous encounters to reveal patterns and practices that are risk factors for violations. The era of big audiovisual data also is an era of advanced analytics. The advantage of a massive dataset is the potential to use machine learning methods to generate more sophisticated hypotheses, automate analyses, and discover complex combinations of risk factors. Techniques such as artificial neural networks trained on massive audiovisual datasets can help guide evidence-based smarter early intervention systems to better deploy and guide officers, identify and change problematic practices, and prevent the risk of harm.