Financial Services AI Compliance 2026
Last reviewed on 15 May 2026 by Fredrik Filipsson, Co-Founder, AI Agent Square. See our methodology.
Comprehensive guide to financial services ai compliance for enterprise AI governance.
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Regulatory Framework for Financial AI
Financial services faces strictest AI regulation: MiFID II (EU investment firms), Dodd-Frank (US banks), FINRA rules (broker-dealers), SEC cybersecurity (public companies), Basel Committee guidelines (international banks). Compliance is complex and mandatory.
Key Regulations
- MiFID II: Algorithm transparency, fair dealing, investor protection
- Dodd-Frank: Risk management, systemic risk assessment for AI
- FINRA Rules: Supervision of algorithmic trading, conflict of interest
- SEC Rule: Cybersecurity requirements for trading and critical systems
- SR 11-7: Model risk management for large banks
Model Risk Management
Federal Reserve guidance (SR 11-7) applies to AI models in banking. Requires: Independent model validation, ongoing performance monitoring, governance framework, documentation, and risk limits. Critical for any bank deploying AI models.
Implementation Checklist
Action Items
- Review current AI deployment against this framework
- Identify compliance gaps
- Develop remediation timeline
- Assign ownership for compliance
- Schedule quarterly review
Compliance is an ongoing process, not a one-time effort. Regular review and updates ensure your AI systems remain compliant as regulations and technology evolve.
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