About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

ISITC Taps Machine Learning To Catch Suspect Transactions

Subscribe to our newsletter

Although the financial industry’s awareness of the need to use machine learning to bolster its cybersecurity has existed for several years, focused work on such endeavors is just beginning, as Erica Choinski, the new chair of industry operations group ISITC, sees it.

As ISITC prepares the agenda for its 23rd annual vendor show in Boston beginning March 26, the group plans to devote time to hear about members’ progress on applying machine learning to defend against cyber intrusions, says Choinski, vice president at Brown Brothers Harriman & Co. She succeeded Jeff Zoller, whose three-year term as ISITC chair ended in December.

“The key is to make sure people understand machine learning’s potential for good and bad, so to speak. To guard against future cybercrime, it’s conceivable that a machine learning platform might be used to help catch the type of nefarious transactions that it creates,” says Choinski.

The ties between machine learning and cybercrime or cybersecurity have emerged as a topic ISITC will cover in sessions looking at the future of machine learning in financial services more generally, according to Choinski.

“Increasingly, machine learning technology can help identify and flag transactions that are anom-alous relative to historical transaction patterns,” she says. “For example, we can leverage this technology for quicker identification of manual errors, fraudulent messages or money laundering activity. The ability to do this without a significant clawback on all the gains in STP [straight-through processing] over the past 20 years will be critical.”

ISITC’s show agenda will also cover blockchain, third-party risk management and regulatory compliance concerns.

“ISITC aims to collaborate with other industry groups around the deployment of blockchain technology in support of key operational workflows,” says Choinski. “In part, an important role ISITC can play is in the promotion of different applications of this technology to drive opera-tional efficiency and the establishment of market practice standards as needed.”

Third-party risk management, defined as investment and securities firms’ management of the service providers they use, is ripe for an updated definition of best practices, according to Choinski. “There is an opportunity for ISITC to have a bigger voice in defining how best to man-age the pockets of risk associated with third-party providers,” she says.

With the upcoming change in US presidential administrations, the regulatory climate for the fi-nancial industry is likely to change to some extent, although the nature of changes is not yet known. ISITC has long had a regulations working group to assist its members on compliance is-sues, and its March agenda will feature a keynote address by David Gergen, a CNN analyst and co-director at Harvard University’s Kennedy School who served as an advisor to presidents Nixon, Ford, Reagan and Clinton.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

TMX Group Acquires Verity to Expand Global Investment Data and Analytics Offering

TMX Group has acquired Verity, a provider of buy-side investment research management systems, data, and analytics. The deal strengthens the capabilities of TMX Datalinx, the company’s information services division, by broadening its offering across equities, fixed income, and private assets. Verity’s core products include VerityRMS, a research management system, and VerityData, which delivers datasets and...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Entity Data Management Handbook – Fourth Edition

Welcome to the fourth edition of A-Team Group’s Entity Data Management Handbook sponsored by entity data specialist Bureau van Dijk, a Moody’s Analytics company. As entity data takes a central role in business strategies dedicated to making the customer experience markedly better, this handbook delves into the detail of everything you need to do to...