文章摘要
Griffin has launched an MCP Server designed to enable secure and auditable access to banking data for agentic AI.
- The Model Context Protocol (MCP) aims to standardize how AI models access external data, ensuring secure and compliant interactions.
- Griffin's MCP Server functions as a 'middleware layer,' translating internal banking data into a standardized context accessible by AI agents.
- It incorporates features for data masking, tokenization, consent management, and audit trails to meet financial industry security and compliance requirements.
- The server enables banks to provide AI agents with real-time, relevant, and secure data access, mitigating risks associated with traditional data integration methods.