All Systems Operational
AI Agent Governance

Governance Infrastructure

Comprehensive documentation and regulatory guidance for deploying autonomous financial agents

United States regulatory landscape
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United States Regulatory Compliance

SEC Reg BI, FINRA 3110, Dodd-Frank

SEC & FINRA

US financial AI systems must comply with SEC Regulation Best Interest (Reg BI), FINRA supervisory requirements (Rule 3110), and Dodd-Frank systematic risk monitoring. The SEC has increased scrutiny on algorithmic trading and robo-advisors.

Framework

SEC Reg BI, FINRA 3110, Dodd-Frank

Requirements

6 Key Areas

Kuneo Solutions

4 Compliance Tools

What SEC & FINRA expects from financial AI systems operating in United States.

1

Regulation Best Interest (Reg BI)

When AI makes recommendations, firms must act in the customer's best interest, not their own financial gain.

2

FINRA Rule 3110: Supervision

Firms must establish and maintain supervisory systems for algorithmic trading, including regular testing and review.

3

SEC Rule 17a-4: Recordkeeping

All communications, trades, and decisions must be preserved in immutable, non-rewritable format for 6+ years.

4

Dodd-Frank Reporting

Large traders and systematic risk contributors must report positions and trading activity to regulators.

5

Algorithmic Trading Controls

Pre-trade risk checks, order throttling, and kill switches required for high-frequency and algorithmic systems.

6

Model Risk Management

Regular validation, back-testing, and stress testing of AI models with independent review.

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