FINRA26: 4 Imperatives Financial Firms Should Watch

Walking the floor at FINRA this year, one thing became clear quickly: the industry conversation has changed.

A few years ago, many of these discussions still felt theoretical. This year felt different. Firms are actively deploying AI, regulators are modernizing how they approach oversight, and compliance teams are trying to manage growing complexity without adding more operational friction.

What stood out most across sessions and conversations with customers and prospects was how many issues are starting to converge. AI governance, communications surveillance, vendor oversight, exams, and data governance are no longer separate conversations. They are increasingly becoming part of the same operational challenge.

That broader shift showed up consistently throughout the conference.

Regulation Is Becoming More Coordinated

Regulators repeatedly emphasized closer coordination and more targeted oversight. The SEC, CFTC, FINRA, and NFA all discussed efforts to reduce duplication, modernize examinations, and improve transparency during enforcement processes. SEC Chairman Atkins reinforced the broader move away from “regulation through enforcement” toward clearer rules and a stronger focus on cases tied to demonstrable investor harm.

The takeaway was not that expectations are lowering. If anything, firms are being asked to demonstrate greater operational maturity. Regulators increasingly want firms to show that they understand where risk exists, that supervision is functioning effectively, and that governance processes can withstand scrutiny.

That means being able to explain how controls operate, how AI-driven decisions are supervised, how investigations are escalated, and how firms measure whether those controls are actually effective over time.

AI Has Moved from Experimentation to Governance

AI was easily the dominant topic across the conference, but interestingly, the tone was far more pragmatic than much of the broader market conversation. Most firms are already using generative AI for summarization, drafting, search, coding assistance, and productivity workflows. The discussion has moved well beyond experimentation.

What firms are trying to solve now is governance.

Across sessions, the same concerns surfaced repeatedly: model drift, explainability, vendor transparency, observability, human oversight, and data governance. One comment from FINRA leadership captured the transition particularly well when they described the industry moving from “human in the loop” to “human on the loop.” Firms are increasingly supervising AI-driven systems rather than manually executing every workflow themselves, and that changes the compliance burden significantly.

The operational questions become much more specific. Can firms reproduce outcomes? Can they identify drift early? Can reviewers understand how recommendations were generated? Can compliance teams explain where human supervision exists and where it does not?

Surveillance Is Becoming More Behavioral

Communications compliance also continues to evolve. Several sessions focused on behavioral anomalies, off-channel signaling, channel switching, baseline communication shifts, and deviations from normal interaction patterns rather than relying solely on traditional keyword monitoring. The broader message was straightforward: effective supervision increasingly depends on visibility and context.

That is changing how firms think about surveillance. The challenge is no longer simply capturing communications. It is identifying meaningful signals, reducing review noise, and understanding where gaps in supervision may exist before regulators find them first.

That is becoming difficult for firms operating across fragmented systems and disconnected oversight models.

Compliance Is Becoming an Operational Discipline

Stepping back, the strongest takeaway from FINRA was not about any single technology or regulation. It was that compliance is becoming an operational discipline centered around visibility, accountability, and adaptability.

The firms best positioned for what comes next will likely be the ones that move beyond fragmented controls and toward governance models designed around continuous supervision, measurable oversight, defensible workflows, and operational transparency.

That is where the industry appears to be heading.

Over the next several weeks, we will take a deeper look at several of the themes that dominated conversations at FINRA, including AI governance, behavioral surveillance, operational transparency, and the growing convergence between compliance, supervision, and data governance.