Communications surveillance technology relies on three main approaches to detect potential abuse – Lexicons, NLP, and Large Language Models (LLMs). Each comes with its own
When an AI model risk scores an email for potential compliance violations, regulators expect extensive validation including test datasets, performance metrics, bias testing, ongoing monitoring
Voice remains one of the most resource-intensive surveillance channels. While email and messaging coverage is mature, voice introduces practical voice surveillance design challenges that are
Surveillance obligations on the buy-side can be confusing, especially with the broad regulatory language and differing firm structures. This post outlines what buy-side firms need,
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