Vendors
日本語

Innovations in AML and KYC Platforms: New Models Powered by Advanced Computing

Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)
22 January 2018

Faced with an ever-increasing compliance burden, financial institutions are seeking to make their AML operations more efficient and effective. As part of this effort, firms are exploring ways to supplement legacy AML technologies with advanced analytics.

Key research questions

  • What is the central challenge facing AML compliance operations?
  • How is current technology limited in addressing issues in AML compliance?
  • What new technologies are being leveraged to offer next-generation solutions for AML compliance?

Abstract

The operational challenges of AML compliance and the technical capabilities of anti-money laundering (AML) software have hit an impasse.

This is leading financial institutions to look at new technologies such as artificial intelligence (AI) and software robotics to bring additional efficiencies to AML processes. Eventually, such technologies could be used to automate decisions that are today made by humans.

In this report Celent explores the use of big data, advanced analytics, and cognitive computing in the anti-money laundering domain, with a special focus on innovative approaches to tackling AML and know your customer (KYC) requirements. The report introduces more than 30 companies offering innovative solutions.

Many financial institutions are already applying supplemental technologies to their AML technology stack to alleviate pain points. On the behavior analysis side, banks may run advanced analytic models through their transaction monitoring engines, instead of using the vendor-supplied scenarios. Specialized name matching, linguistic analysis software and predictive analytics can be used to enhance the screening process.

There is now a striking emergence of new firms providing solutions for KYC (screening and due diligence) and AML (monitoring and behavior detection) that employ advanced computing techniques. This includes the rapidly expanding universe of regtech startups, as well as technology and compliance pioneers that introduced solutions a decade ago.