
Existing SEC and FINRA rules apply to AI-generated content, panelists said, as examiners demand firms document how AI is used and who is accountable.
Financial services firms are deploying artificial intelligence across compliance, communications and other business functions. That use is creating a regulatory question that predates the technology: what records must firms keep to prove they followed rules written before AI existed?
The Securities and Exchange Commission and Financial Industry Regulatory Authority have not issued AI-specific record-retention requirements. Existing rules covering supervision, communications, recordkeeping, conflicts of interest, Regulation Best Interest and fiduciary duties apply whether a human or an AI system performed the work, according to a panel of securities lawyers, compliance executives and technology providers assembled in July by technology firm Red Oak.
FINRA has already signaled its expectations. Regulatory Notice 24-09 said firms using generative AI in supervisory systems, including to review electronic correspondence, must address technology governance, model-risk management, data privacy and integrity, and model reliability. The regulator’s 2026 Oversight Report made generative AI a standalone area of focus.
Enforcement is underway even without new AI rules. Brian Rubin, an Eversheds Sutherland partner and former SEC and NASD enforcement attorney, cited SEC cases accusing companies of “AI washing” – exaggerating their AI capabilities. He also pointed to a FINRA anti-money-laundering case involving a deficient automated identity-verification process. The principle, panelists said, is straightforward: firms remain responsible for outcomes generated by technology they choose to use. That raises questions similar to those around AI agent liability.
Rubin described the emerging regulatory approach as a “show your work” environment. Examiners want specifics: who approved a tool, what data it accesses, how outputs are validated and where humans remain accountable. No official requirement governs whether firms should retain operational data or how long those records must be kept, creating difficult recordkeeping questions.
Rubin recommended starting with existing rules. An AI-generated item used in a customer communication, recommendation or marketing material generally falls under the same retention requirement as a human-created item. Some firms therefore apply full regulatory retention periods to AI records tied to communications, recommendations and supervisory reviews while using shorter periods for lower-risk operational information.
Retention alone may not be enough. Firms must be able to reconstruct decisions and explain what role an AI system played. That becomes hard when a model used to make a decision has since been updated or retired.
The problem echoes regulators’ earlier responses to email and, more recently, off-channel communications such as text messages and WhatsApp. Existing books-and-records rules were applied to new communication technologies without rewriting the underlying framework. Employees using unapproved AI platforms for client-related work could similarly create records beyond their firm’s ability to capture or supervise.
Derek Stern, head of global distribution compliance at Manulife Wealth & Asset Management, said firms should involve compliance teams while AI systems are being designed, not after deployment. Due diligence should examine where data are stored and who can access them, whether the system’s conclusions can be explained and defended, how vendors manage model updates and testing, and how the technology integrates with human review.
Jamie Hoyle, vice president of product at MirrorWeb, warned firms to be skeptical of promises to put compliance on “autopilot.” AI can improve supervision – context-aware systems can replace crude keyword searches that generate many false positives by interpreting communications against actual firm policies.
Red Oak’s central message, panelists said, is that AI does not shift accountability from the regulated firm to the technology. Until regulators provide more specific guidance, documentation, explainability and human oversight remain the safest guideposts.
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