AI Stats News: Humans Plus AI 20X More Effective In Cybersecurity Defense Than Traditional Methods

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlighted the role of augmented intelligence, combining human intelligence with artificial intelligence to produce better results in cybersecurity defense and in getting more business value from the use of IoT data. Two thirds of UK financial institutions report they use machine learning (ML) in some form; ML is most commonly used in anti-money laundering (AML) and fraud detection as well as in customer-facing applications (e.g. Analysis of about 150 Federal departments and agencies identified 171 different uses of machine learning. Two of the leading agencies were the Securities and Exchange Commission and the Social Security Administration. The SEC uses machine learning to help identify scammers who may engage in insider trading.