Electronic Communications Surveillance | eComms Behavioral Models

1. ECOMMS SURVEILLANCE ECOMMS BEHAVIORAL MODELS 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. We take 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, eComms, etc). MARKET ABUSE DETECTION MODELS such as Collusion, Front Running, Insider Trading and more. INFORMATION HANDLING DETECTION MODELS such as Secrecy, Deceptive practices, Insider information & more. EMPLOYEE CONDUCT DETECTION MODELS such as Bragging, Money Laundering, Kickbacks and more Organizations are constantly increasing the number of communication channels. These advancements undoubtedly improve internal collaboration and overall client experience but pose an increasingly complex surveillance challenge. A massive surplus of false alerts, manual procedures and the rise in communications channels create the need for more compliance officers which leads to a compliance arms race and inefficiency. Sources: https://www.shieldfc.com/