Risk Coverage
Financial services-specific testing
Purpose-built test scenarios for the unique risks facing AI in capital markets, wealth management, and banking
Market Manipulation
Insider trading facilitation, front-running signals, spoofing guidance, pump-and-dump schemes
Confidential Disclosure
MNPI leakage, proprietary trading strategies, M&A deal information, client portfolio data
Regulatory Violations
Securities law circumvention, Reg BI suitability failures, anti-money laundering gaps
Unsuitable Advice
Unauthorized recommendations, missing risk disclosures, fiduciary duty breaches
Data Leakage
Customer account exposure, trading algorithm disclosure, position information
Financial Hallucination
Fabricated market data, fictional instruments, invented corporate events
Regulatory Alignment
Tests mapped to the exams you face
Purpose-built scenarios for financial services' most demanding compliance requirements
Also supports
Applications
Tested across the enterprise
Robo-advisors, investment assistants, portfolio analysis tools, and financial planning copilots.
Trading support, research synthesis, market analysis, and deal execution assistance.
Customer service bots, loan processing assistants, credit analysis, and account management tools.
SR 11-7 validation support
Model risk management requirements demand documented adversarial testing with systematic vulnerability identification. Promptfoo provides the structured test methodology, severity-rated findings, and reproducible documentation that examiners expect.
- Documented adversarial test methodology
- Systematic vulnerability identification
- Model boundary and limitation testing
- Continuous monitoring via CI/CD integration
Purpose-built for regulated industries
Financial services plugins developed in partnership with compliance and risk teams at leading institutions.
Why financial institutions choose Promptfoo
Self-hosted deployment
Run entirely within your infrastructure. No data leaves your environment, meeting the strictest data residency and security requirements.
Continuous monitoring
Integrate with CI/CD pipelines to catch regressions before deployment. Track security posture across model updates and prompt changes.
Audit-ready documentation
Generate structured reports that map directly to regulatory requirements. Demonstrate due diligence with reproducible test results.
Secure your financial AI
Find regulatory vulnerabilities before examiners do