Summary
Publication Date: November 2016
This report, written in cooperation with the IIF Regtech Working Group, looks at the potential of new technologies to improve anti-money laundering and anti-fraud capabilities at financial institutions (FIs). Examples include the use of machine learning to improve detection of suspicious activity, robotics to automate analysis, biometrics, and distributed ledger to improve data sharing through shared utilities. It concludes with a set of regulatory recommendations to facilitate tech adoption at FIs and upgrade the international AML/CFT framework.
Recent Posts
