AI Governance for Broker-Dealers: What Examiners Expect Now

AI Governance for Broker-Dealers: What Examiners Expect Now

AI Governance for Broker-Dealers
Compliance & Technology Risk

AI Governance for Broker-Dealers: What Examiners Expect Now

FINRA and the SEC already apply existing rules to AI. So, here's the fast, visual breakdown of what your broker-dealer needs today, not someday.

⏱️ 4-Minute Read 🏛️ FINRA & SEC Compliance 🤖 AI Risk Management
In nine seconds, an AI coding agent deleted an entire production database: backups included. It wasn't malicious; it was simply doing an authorized task. This is exactly why AI governance for broker-dealers can no longer be treated as optional. After all, your firm doesn't need a single in-house AI agent to inherit AI risk; it arrives through vendors and third-party platforms instead.
AI governance for broker-dealers old two-year exploit window icon
~2 Years
Old exploit window
→
AI governance for broker-dealers current six-week exploit window risk icon
~6 Weeks
Today's exploit window

Meanwhile, most approval chains and patch cycles are still built for the slower, two-year world. Consequently, the gap between a vulnerability and an actual attack keeps shrinking, while your controls stay the same speed.

AI Governance for Broker-Dealers: You're Already Covered

So, is a new AI rule coming? Actually, no. Instead, FINRA and the SEC simply apply the rules you already have.

AI-assisted supervision still needs written procedures.

FINRA Rule 2210

AI-drafted content still needs a factual, sound basis.

Reg BI

A model can't replace documented human review.

Reg S-P

AI access to customer data must be controlled.

Outsourced AI still falls under vendor-oversight rules.

Enforcement is being tested, not just paperwork.

Note: the SEC withdrew its AI-specific conflicts proposal in 2025. As a result, Rule 3110, Reg BI, Reg S-P, and Notice 24-09 remain the real baseline, so verify current requirements against FINRA.org and SEC.gov before finalizing policy.

8 Controls That Actually Hold Up to Review

Now, here's the governance structure regulators want to see, built for broker-dealer compliance in 2026 and beyond.

Cross-functional governance body
Living, credentialed AI inventory
Written procedures that name AI
Human confirmation gates on actions
Vendor & supply-chain due diligence
Full recordkeeping & audit trail
AI-ready incident response plan

What the Data Says

Meanwhile, the numbers back this up. NAVEX's 2026 survey of nearly 1,200 compliance executives shows adoption and the stakes are both rising fast.

78%

Of compliance teams are now meaningfully involved in AI decisions, up from 65% last year.

41% vs 25%

Breach rate when leadership tolerates AI risk-taking, versus firms where it doesn't.

In short, structure alone doesn't prevent problems. Rather, it's leadership follow-through, actually enforcing the confirmation gates and vendor checks, that moves the needle most.

Examiners aren't asking "do you have an AI policy?" They're asking, "can you prove it's enforced?"

Ultimately, the safest path is simple: treat AI like any other high-access system. Inventory it, permission it, supervise it, and audit it, with a human always positioned between the model and anything consequential.

Is Your AI Governance Exam-Ready?

MCG Consulting builds supervisory frameworks, including AI governance, that are reasonably designed and demonstrably enforced for broker-dealers.

Talk to MCG Consulting

This post summarizes public regulatory guidance and general practices. It isn't legal advice. Therefore, confirm current requirements directly with FINRA.org, SEC.gov, and counsel before finalizing policy language.

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