Best Practices For Implementation Of Detective Controls And Minimization Of Residual Risk

Traditionally, compliance teams have relied on methods such as random sampling and lexicon-based
approaches to monitor communications for signs of non-compliance. While these methods have been instrumental, they are not without limitations. The advent of artificial intelligence (AI) has revolutionized the field of communication surveillance, offering unprecedented accuracy and efficiency in detecting risks.

This paper explores the integration of AI with traditional lexicon and random sampling methods to create a comprehensive framework for managing inherent and residual risks.