Financial Services & Banking

AI Governance for Financial Services

Banks and fintechs face the strictest AI scrutiny in any industry. Raidu enforces model risk management, prevents bias in lending AI, and creates the audit trails your examiners demand.

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Why Financial AI Needs Purpose-Built Governance

Regulators are watching. From the OCC to the SEC, every AI deployment in financial services faces heightened scrutiny.

Model Risk Management (SR 11-7)

The Federal Reserve's SR 11-7 guidance requires rigorous model validation, ongoing monitoring, and documented governance for all models — including AI and LLMs. Most organizations lack the tooling to extend MRM to generative AI.

Fair Lending & AI Bias

AI models used in credit decisions, underwriting, or pricing must comply with ECOA and fair lending laws. Undetected bias in LLM outputs can create disparate impact, resulting in enforcement actions and reputational damage.

SEC AI Disclosure Requirements

The SEC's proposed AI rules require broker-dealers and investment advisers to disclose AI use in investor interactions. Without comprehensive logging, firms cannot demonstrate compliance.

SOX Compliance for AI-Assisted Processes

When AI touches financial reporting, internal controls must be documented and auditable. SOX Section 404 requires management to assess the effectiveness of internal controls — including those involving AI.

How Raidu Solves This

Purpose-built AI governance that works the way your industry demands.

Automated Model Governance

Every AI interaction is logged with full input/output capture, model version, policy decisions, and user context. Extends your MRM framework to cover generative AI without manual documentation.

Bias Detection & Content Filtering

Raidu's content analysis engine scans AI outputs for biased language, discriminatory patterns, and compliance violations before they reach customers or internal decision-makers.

Examiner-Ready Audit Trails

Generate comprehensive audit reports that map directly to regulatory examination checklists. Every AI interaction, policy change, and exception is timestamped and immutable.

Multi-LLM Cost & Risk Controls

Set per-department spending limits, restrict model access by sensitivity level, and route requests to approved models. Prevent shadow AI and uncontrolled LLM spending across the organization.

SOC 2 Type II (pursuing)
Typically <50ms Added Latency
On-Premise Available
Input + Output Protection

Frequently Asked Questions

How does Raidu help with SR 11-7 compliance for AI models?
Raidu extends your existing Model Risk Management framework to cover generative AI. Every AI interaction is logged with model version, input/output data, policy decisions, and user identity — providing the documentation and monitoring that SR 11-7 requires for effective challenge and ongoing validation.
Can Raidu detect bias in AI outputs used for lending decisions?
Yes. Raidu's content analysis engine can flag outputs that contain discriminatory language or patterns that could create disparate impact under ECOA and fair lending regulations. Custom policies can be configured for your specific lending use cases.
Does Raidu support SEC AI disclosure requirements?
Raidu maintains comprehensive logs of all AI interactions, including when AI is used in client-facing communications or investment recommendations. These logs provide the documentation needed to support SEC disclosure requirements for AI use in advisory and brokerage services.
How does Raidu handle SOX compliance for AI-assisted financial processes?
Raidu provides immutable audit trails, role-based access controls, and policy versioning that support SOX Section 404 internal control requirements. Every AI interaction that touches financial data or reporting is fully documented and traceable.
Can we restrict which AI models are used by different departments?
Yes. Raidu's policy engine supports per-department and per-team model restrictions. You can approve specific models for specific use cases, set cost limits, and enforce data handling requirements — all from a central policy dashboard.

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