AI Governance for Financial Services
Enable financial advisors, compliance teams, and analysts with governed AI while satisfying SEC, FINRA, and state regulators
Why Financial Services Needs Governed AI
The data on shadow AI risk in finance — recordkeeping is the next 17a-4 enforcement target
The Financial Services Shadow AI Problem
Your advisors, compliance teams, and analysts are using AI to work faster, but without governance, you're exposing client data and violating SEC/FINRA rules
What they do:
Pasting client portfolios, account positions, and proprietary research into ChatGPT for analysis
The problem:
Client account data and proprietary investment research shared with third-party AI without governance
⚠️ The risk:
SEC Reg S-P violations, FINRA supervision failures, fiduciary breach exposure
What they do:
Drafting client letters, market commentary, and investment recommendations through AI tools
The problem:
AI-generated advice without supervision, review, or approval workflows
⚠️ The risk:
FINRA Communications Rule (2210) violations, unsuitable recommendations, undocumented advice
What they do:
Running policy reviews, trade surveillance summaries, and regulatory filings through ChatGPT
The problem:
Confidential compliance data and pre-publication regulatory work product shared externally
⚠️ The risk:
Inadvertent disclosure of MNPI, regulatory privilege waiver, SEC examination findings
What they do:
Summarizing audit findings, drafting risk assessments, and analyzing transaction patterns through AI
The problem:
Internal control weaknesses and confidential findings exposed to public AI models
⚠️ The risk:
Material weakness disclosure issues, audit work paper contamination, board reporting exposure
The Compliance Nightmare
How shadow AI maps to specific financial-services regulatory risk
SEC Examination Risk
No audit trail of AI usage means you can't demonstrate supervision or compliance with recordkeeping requirements under Rule 17a-4.
Client Privacy Violations
Client data shared with ChatGPT or Claude violates Reg S-P privacy notices, contractual obligations, and state privacy laws.
FINRA Communications Rules
AI-generated client communications may not meet Rule 2210 supervision, review, or approval requirements before delivery.
Fiduciary Breach Exposure
AI-generated investment advice without proper oversight could expose advisors to fiduciary breach claims and arbitration awards.
Why Blocking AI Doesn't Work in Finance
Bans backfire, advisors find workarounds and your compliance visibility goes to zero
Productivity Pressure
Financial advisors are measured on AUM growth, client retention, and revenue per advisor. AI tools materially improve their output. Bans put them in conflict with their own incentives.
- 25-40% faster research and analysis
- 50% faster client letter drafting
- Real competitive disadvantage if blocked
Personal-Device Workaround
Block AI on corporate devices and advisors use personal phones. You now have zero visibility, zero audit trail, and the same client data exposure, just invisible.
- SEC requires supervision of business communications
- Off-channel comms is already an enforcement priority
- Personal-device shadow AI compounds both risks
Talent Risk
AI-native firms attract top advisors and analysts. If your firm bans the tools they were trained on, your recruiting pipeline narrows and your retention erodes.
Enable Financial Teams With Governed AI
Give advisors, compliance, and analysts the AI productivity gains, with the controls SEC and FINRA expect
Higher Adoption Than Bans
Staff use it because it's legitimately better than the consumer tools they were trying to use behind your back. No workarounds, no shadow AI.
- Single SSO-protected interface to all major AI models
- Compliance without blocking productivity
- Net Promoter from end users, not just IT
Supervision & Recordkeeping
Every prompt, every response, every model used, captured for the full Rule 17a-4 retention window. Demonstrate supervision in the next exam, not next quarter.
- 6-year audit retention out of the box
- Per-user, per-team, per-account-segment review queues
- Reviewer comments and pre-publication approval workflows
Enterprise Security
Client data never trains a public model. PII redaction is automatic. Role-based access ensures advisors only see their book, compliance sees everything.
- SOC 2 Type II certified
- SEC Reg S-P and state privacy law aligned
- Optional on-premise deployment for largest firms
Financial Services Use Cases
How financial firms use governed AI to improve outcomes while maintaining compliance
Investment Research
Analysts use governed AI to summarize earnings calls, parse 10-Ks, and structure research notes, with every artifact captured for compliance.
Client Communications
Advisors draft quarterly letters, market commentary, and proposals with AI assist, reviewed and approved through built-in supervision workflows.
Trade Surveillance
Compliance teams use governed AI to surface anomalies in trade and communication patterns, with full audit logging back to specific reviewers.
Regulatory Filings
Drafting Forms ADV, BCP, and other regulatory filings using approved AI assistants with internal-only knowledge bases.
Meeting Financial Regulatory Requirements
Mapping governed AI to your specific compliance obligations
Books & Records
Full prompt/response retention with tamper-evident logging for the required retention window.
Communications Supervision
Pre-publication review queues, approver workflows, and audit-ready records of every AI-generated client communication.
Client Data Privacy
PII redaction before any external model call, BAA-level controls on subprocessors, and per-user data access logging.
Financial Services Resources
Deep dives into AI governance topics specific to broker-dealers, RIAs, and wealth management firms
Shadow AI in Financial Services
Why it is the next 17a-4 enforcement crisis, and the off-channel comms precedent every CCO should know
Read article →SEC AI Enforcement
Every named action from Delphia through the 2026 priorities, plus the audit-readiness checklist
Read article →FINRA AI Guidance
Notice 24-09, Rule 2210, Rule 3110, and what the 2026 ARO Report says firms are missing
Read article →AI Recordkeeping (17a-4 and 4511)
When AI prompts become records, the 2022 modernization, and the off-channel comms precedent
Read article →AI for Investment Research Governance
AlphaSense, Bloomberg GPT, Kensho, Hebbia, and the MNPI and hallucination risks the market has run past
Read article →AI in Wealth Management and Fiduciary Risk
42 percent of bank advisors use AI today. The robo-advisor enforcement line is the template for what is next
Read article →Ready to govern AI in your firm?
Start with the free Shadow AI Risk Check, or download the leaders guide to build your case internally.