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

A-Team Insight Blogs

CAT Builder Choice Marks End Of Years-Long Process

Subscribe to our newsletter

Spurred by the US Securities and Exchange Commission (SEC) approval of a national market system (NMS) plan in November, which includes creation of a consolidated audit trail (CAT), US securities exchanges chose Thesys Technologies, a New York-based trading technology provider with a focus on trading surveillance and big data functions already aimed at CAT functions.

Thesys’ proposal prevailed over FIS (Fidelity National Information Services) and the US self-regulatory organization (SRO), the Financial Industry Regulatory Authority (FINRA) in a vote by US exchanges choosing a builder for CAT.

The process of choosing a company to build CAT has been years in the making. The proposals were completed, including amendments, in March 2014, after a request for proposals was first published in February 2013. In July 2012, the SEC approved Rule 613 of Regulation NMS, which required exchanges’ SROs to submit a plan for building the CAT. It took until April 2016, however, for the SEC to publish the SROs CAT plan, which appears to have affected how the bidders proposals to build the CAT could be evaluated.

The choice of Thesys Technologies surprised some, and FINRA, as an SRO itself, had been expected to win the contract to build the database. FINRA issued this statement on the decision:

“FINRA appreciates the opportunity to have submitted a highly competitive proposal to become the processor for the Consolidated Audit Trail. Although ultimately we were not selected to be the processor, FINRA will work closely with all parties toward a smooth transition to the CAT. FINRA remains committed to its robust program of cross-market surveillance and looks forward to enhancing that oversight with the uniform, comprehensive data that the CAT will provide.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Modernising Equities Trading Infrastructure: Architecture, Resilience and the Economics of Change

Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many of the platforms that still underpin the equities industry were built for a different era –...

BLOG

Financial Firms Confront the Next Phase of AI-Driven Compliance

Artificial intelligence is moving rapidly from experimentation into day-to-day compliance operations at financial institutions, changing not only how firms monitor communications and investigate potential breaches, but also the governance, data and skills they need to support those processes. That shift was evident during a private executive roundtable hosted by compliance recording specialist Luware at A-Team...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...