What does AI compliance look like in financial services?
In financial services, AI use intersects GLBA, SOX, GDPR/CCPA, and sector rules — so the priorities are keeping customer financial data out of unsanctioned AI tools, securing vendor terms (DPAs), maintaining model and decision oversight, and documenting controls for examiners. The highest-impact control is preventing PII and financial data from reaching AI tools without governance.
Who it applies to
Banks, fintechs, insurers, asset managers, and their vendors handling customer financial and personal data.
What it requires
- Customer financial data kept out of unsanctioned AI tools.
- Vendor DPAs and training opt-outs for any AI processing personal data.
- Oversight of AI-assisted decisions affecting customers.
- Documented controls for regulators and auditors.
How to comply
- Baseline exposure with an AI risk assessment.
- Restrict AI tool access and mask financial PII on-device.
- Secure enterprise terms + DPAs with AI vendors.
- Maintain an evidence pack for examiners and the board.
See exactly where you stand
Run a free 2-minute AI Exposure assessment — your risk scored and mapped to the EU AI Act, GDPR, and HIPAA, with a remediation plan and a starter policy.
This guide is general information, not legal advice. Confirm specifics with your counsel or compliance team.