Goldman Sachs and UBS monitor traders with a machine learning tool the US uses to find terrorists

Former trader Jerome Kerviel lost Societe Generale €4.9 billion ($6.4 billion) in rogue trades. REUTERS/Philippe Wojazer Top investment banks like Goldman Sachs and UBS are spotting insider trading and other rule-breaking using a machine learning platform that was first developed to help the US catch terrorists. Digital Reasoning has “more than half the bulge bracket firms using our technology to spot inside behaviours and insider threats,” according to Kiran Narsu, senior vice president of commercial sales at the company. Digital Reasonings has developed a machine learning platform that can learn patterns of language rather than simply looking for key words, helping banks spot things like insider trading and price fixing with a greater degree of accuracy than traditional compliance tools. Its smart platform can be trained to spot trading abuse,…


Link to Full Article: Goldman Sachs and UBS monitor traders with a machine learning tool the US uses to find terrorists

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!