Financial AI Risk & Agentic Markets

AI Governance for FinTech & Autonomous Trading

When autonomous AI models execute real trades and move capital via the Model Context Protocol (MCP), broker-dealers face severe supervisory liability under FINRA Rule 3110 and SEC Rule 15c3-5. Fraoula delivers real-time pre-trade risk controls and deterministic audit rails.

Interactive Pre-Trade Risk & Kill-Switch Simulator

Simulate agentic order volume, capital allocation, and SEC 15c3-5 market access latency bounds in real time.

Client-Side Simulation
▶ Agentic Account Bounds
$100,000
120
Peak Exposure: $100,000
▶ Circuit Breaker Parameters
2.50%
0.85 ms
Estimated Pre-Trade Delay: < 1 ms
SEC 15c3-5 Compliance Status
99.98%
COMPLIANT (PRE-TRADE BUFFER ACTIVE)

Pre-trade credit checks and kill switch latencies operating well within regulatory tolerances. No runaway loop risk detected.

Kill-Switch Trigger Time: < 15 milliseconds
System Architecture

The 4 Pillars of Fraoula FinTech AI Governance

Modern brokerages cannot rely on terms-of-service disclaimers when connecting retail models to market execution. Fraoula enforces deterministic programmatic control.

PILLAR 01

Model Context Protocol (MCP) Tool Execution Sandboxing

Ring-fence external language models (Claude, ChatGPT, Cursor, Grok) inside dedicated sub-accounts. Fraoula acts as an inline RPC proxy, enforcing hard spending caps, symbol whitelists, and order rate limits before tool calls reach the matching engine.

PILLAR 02

real-time SEC 15c3-5 Pre-Trade Risk Filtering

In-memory volatile RAM validation of every inbound agentic order. Algorithmic orders are checked against account equity, market impact models, and erroneous order thresholds in under 350 microseconds, preventing flash-crash cascading loops.

PILLAR 03

FINRA Rule 3110 Algorithmic Supervisory Logging

Immutable cryptographic ledger recording prompt inputs, tool-call arguments, model version hashes, and execution telemetry. Reconstruct the exact reasoning state of any autonomous agent during regulatory audits or flash volatility events.

PILLAR 04

Autonomous Kill-Switch & Feedback Loop Containment

Automated circuit breakers that detect correlated behavior across multi-agent clusters. If agentic order cancel-to-fill ratios spike or market spread anomalies occur, Fraoula immediately severs the MCP socket and transitions portfolios to defensive hold.

Regulatory Alignment

Global Regulatory Standards Enforced by Fraoula

Broker-dealers remain strictly liable for the market impact of connected third-party models. Fraoula satisfies the rigorous supervisory demands of global capital market regulators.

Regulatory Standard Enforcement Agency Statutory Requirement Fraoula Enforced Protection
SEC Rule 15c3-5 (Market Access) SEC / FINRA Mandatory pre-trade risk controls preventing erroneous orders Real-time in-memory capital & price band filters
FINRA Rule 3110 (Supervision) FINRA Supervisory system to oversee algorithmic trading activity Deterministic model telemetry & prompt-to-fill audit logging
Federal Reserve SR 11-7 Federal Reserve / OCC Supervisory guidance on continuous model risk management Empirical drift monitoring & stress-test perturbation suites
MiFID II RTS 6 ESMA (European Union) Pre-trade controls, kill functionality, and annual algorithmic self-assessment Automated kill switches & algorithmic risk certification dossiers
CFTC Reg AT CFTC Pre-trade risk controls and source code audit readiness for automated trading Versioned immutable model execution telemetry logs

Deploy Legally Compliant Agentic Trading Infrastructure

Do not let third-party model hallucinations trigger regulatory enforcement actions or catastrophic flash losses. Protect your brokerage and capital with Fraoula Data Auditor.

Request FinTech Risk Audit → Read The Robinhood MCP Case Study