Open-Source AI Safety Library for Finance Released
In brief
- VENTURFLOW, a startup focused on AI-driven solutions for venture capital, has released an open-source library designed to ensure the safe and reliable use of AI in financial workflows.
- This tool, named Assay, acts as a safety layer between AI agents and real-world actions like transactions or filings.
- It includes features such as output validation, tool-call gating, trajectory validation, and entity resolution to prevent errors or harmful decisions.
- The library is particularly useful for developers working with AI agents in finance who need to comply with regulations like SEC 15c3-1, Reg T, Volcker, FINRA 4210, MiFID II suitability, and OFAC sanctions.
- It provides concrete checks, an audit log, and regulatory rule packs with citations, helping users stay compliant without relying on external data sharing.
- As AI adoption in finance grows, tools like Assay will play a critical role in managing risks and ensuring adherence to legal standards.
- While it's currently in its early stages, the library offers a promising approach for building more trustworthy AI systems in regulated industries.
Terms in this brief
- VENTURFLOW
- A startup that uses AI to help with venture capital decisions. They created Assay, an open-source tool to make sure AI behaves safely and correctly in financial settings.
- Assay
- An open-source library developed by VENTURFLOW to ensure AI safety in finance. It helps prevent errors or harmful decisions by checking AI outputs before they become real-world actions like transactions or filings.
- tool-call gating
- A feature in Assay that controls when and how an AI can perform specific actions, ensuring these actions are safe and compliant with regulations.
- entity resolution
- The process of identifying and linking entities (like companies or individuals) to ensure accurate and proper handling in financial transactions, helping prevent fraud or errors.
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