eComms Behavioral Models

Take a proactive surveillance approach
to reduce risk and meet regulations
See it live

Shield’s Proactive surveillance applies a unique and cutting-edge hybrid Lexicon and Machine Learning-based approach to proactively detect and surveil all eComms and trade data to empower 1st and 2nd lines of defense in their fight against market abuse and misconduct.

Shield takes an integrated surveillance method. It focuses on collecting, correlating and analyzing data across both structured data (trade data, market news, etc.) and unstructured data (voice, email, text, eComms, etc.). This allows the system to highlight and detect behavior and motivation patterns that would normally be concealed behind the immense amount of data.