FINRA, SEC, and AI: A Compliance Guide for Financial Advisors

Financial advisors are among the most heavily regulated professionals in the world. Client data is subject to strict confidentiality obligations, recordkeeping requirements, and data security standards. As AI tools become increasingly useful for client communication, research, and report writing, advisors face a critical compliance challenge: how do you use AI productively without running afoul of FINRA, SEC, and state regulations?

This guide breaks down what the regulators actually say, where the risk is, and what a compliant AI workflow looks like in practice.

What FINRA Has Said About AI

FINRA has been actively monitoring AI adoption across the financial services industry. Their guidance consistently emphasises that existing regulatory obligations apply to AI-assisted work — new technology doesn't create new exceptions.

Key areas of concern FINRA has highlighted include supervision of AI-generated communications, recordkeeping for AI-assisted client interactions, and the handling of customer data by third-party AI providers.

SEC's Position on AI and Client Data

The SEC has been equally active. Regulation S-P requires registered investment advisers and broker-dealers to implement policies and procedures to protect customer records and information. The SEC's interpretation is clear: using an AI tool that processes customer data constitutes a data handling activity subject to Reg S-P's requirements.

This means you need to assess AI tools as you would any third-party vendor that handles client data — conducting due diligence on their security practices, data handling policies, and contractual protections.

The Recordkeeping Dimension

FINRA Rule 4511 and SEC Rule 17a-4 impose strict recordkeeping requirements on member firms and registered advisers. If you use AI to assist with client communications or investment decisions, questions arise about whether those AI interactions need to be retained as records.

The conservative interpretation — and the one most compliance officers are adopting — is to treat AI-assisted communications the same as other electronic communications, subject to your firm's existing recordkeeping policies.

Where Client Data Risk Is Highest

The situations with the highest regulatory risk are where identifiable client data enters an AI system without appropriate safeguards. This includes:

• Pasting client account information into AI tools to generate personalised recommendations
• Using AI to draft client letters or emails that include specific financial details
• Analysing portfolio data with real client names and account numbers
• Asking AI to review or summarise client financial documents

Building a Compliant AI Workflow

The practical solution combines anonymisation with proper supervision. Before any client data enters an AI tool, identifying information should be replaced with placeholders. The AI works with the anonymised data. A human reviews and approves the AI-generated output before it goes to the client. Real client information is restored only at the final output stage.

This approach addresses the core regulatory concerns: client data doesn't reach third-party AI servers, AI-generated content is subject to human review, and your workflow is documentable for compliance purposes.

Snitch automates the anonymisation step. You work normally, including real client names and account details. Snitch anonymises before sending to Claude and restores the real values in the response. Your firm's review process then applies to the final output — which is how it should work.