Key Takeaway
Snowflake has launched Cortex AI for Financial Services, a suite of tools aimed at helping financial institutions deploy AI models while ensuring regulatory compliance and data security. This initiative addresses challenges in regulated industries, such as fragmented data and strict governance. A key feature is the managed Model Context Protocol (MCP) Server, now in public preview, which links customer data with third-party sources like FactSet and Nasdaq. This infrastructure allows integration with AI platforms like Anthropic’s Claude and Salesforce’s Agentforce, facilitating secure interoperability and enhancing business-critical applications in financial services, according to Snowflake’s VP of AI, Baris Gultekin.
Snowflake has introduced Cortex AI for Financial Services, a new suite of tools aimed at assisting financial institutions in deploying AI models and agents while ensuring regulatory compliance and data security.
Through this platform, Snowflake aims to tackle challenges faced by highly regulated industries, such as fragmented data ecosystems and strict governance requirements.
A key component of this announcement is Snowflake’s managed Model Context Protocol (MCP) Server, which is now in public preview.
The MCP Server links proprietary customer data with third-party information from partners like FactSet, MSCI, Nasdaq eVestment, and The Associated Press.
This infrastructure allows financial institutions to merge their data with agent platforms such as Anthropic’s Claude, Salesforce’s Agentforce, CrewAI, Cursor, and UiPath.
“By bringing AI directly to where their data resides and enabling secure interoperability with remote agents, Snowflake is simplifying the process for highly regulated industries like financial services to drive business-critical use cases,” says Baris Gultekin, VP of AI at Snowflake.
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