Snowflake has unveiled Cortex AI for Financial Services, a tailored platform that integrates proprietary and third-party data with AI models, emphasising security and regulatory compliance for tasks from fraud detection to risk modelling.
Snowflake has introduced Snowflake Cortex AI for Financial Services, a tailored suite of AI capabilities combined with strategic data partnerships aimed at helping financial institutions unify their data ecosystems and deploy AI models securely—all while adhering to regulatory standards. This offering is notable as Snowflake’s industry-specific AI suite designed for the financial sector, supporting applications in areas such as market analysis, quantitative research, fraud detection, customer support, claims management, risk modeling, compliance, and underwriting.
At the heart of this suite is the Model Context Protocol (MCP) Server, currently in public preview, which simplifies and secures access to proprietary and third-party data from partners including FactSet, MSCI, Nasdaq eVestment, and The Associated Press. By obviating the need for custom integrations, the MCP Server enables organizations to connect their data with various AI agents and platforms—examples include Anthropic, CrewAI, Cursor, Devin by Cognition, Salesforce’s Agentforce, Windsurf, and others—fostering the development of context-aware AI agents and applications.
Snowflake emphasizes that bringing AI directly to where data resides, coupled with secure interoperability with remote agents, makes it easier for highly regulated industries like financial services to support critical use cases while maintaining strict governance and compliance standards.
The Cortex AI suite offers tools such as the Snowflake Data Science Agent, which accelerates machine learning workflows by automating tasks like data preparation, feature engineering, and model validation—streamlining the development of risk models, compliance tools, fraud detection systems, and underwriting algorithms. Additionally, Snowflake Cortex AISQL supports analysis of unstructured data—including market research, earnings call transcripts, and transaction details—by providing AI-driven functions for extraction, transcription, and processing. This enables organizations to handle large-scale document, audio, and image data, supporting use cases such as customer service enhancement, investment analysis, and claims processing.
For business users, Snowflake Intelligence, now in public preview, offers a natural language interface to query data stored within Snowflake and from integrated third-party sources. This functionality allows non-technical users to access insights more easily, broadening the scope of data-driven decision-making across organizations.
The MCP Server functions as a secure hub to connect AI agents with enterprise data, following emerging standards for Model Context Protocol. This setup enables seamless integration with a wide range of agent platforms—including those from Anthropic, Augment Code, Amazon Bedrock AgentCore, CrewAI, Cursor, Devin by Cognition, Glean, Mistral, Salesforce’s Agentforce, UiPath, Windsurf, Workday, and Writer—providing both structured and unstructured data access while upholding security and governance protocols.
Recent coverage underscores Snowflake's focus on constructing industry-specific AI solutions, aligning with broader market trends where enterprises develop domain-tailored AI tools. This approach contrasts with some competitors, such as Databricks, which offer more broad-based AI platforms. Snowflake’s targeted industry solutions reflect its strategy to deepen its foothold in regulated sectors, particularly financial services.
Further demonstrating its commitment, Snowflake plans to host a webinar titled 'Snowflake Cortex AI: Accelerating Financial Services with Agentic AI' on October 30, 2025. The session promises an in-depth look at its AI platform capabilities, including the Data Science Agent and Snowflake Intelligence, alongside discussions on AI governance and observability—key factors in deploying AI responsibly and effectively.
Overall, Snowflake Cortex AI for Financial Services signifies a strategic move toward embedding AI workflows directly into core financial operations, facilitating secure and efficient data integration, and enhancing operational efficiencies in a heavily regulated environment.
References: - Fintech News Singapore - Investing.com - GuruFocus - Constellation - SiliconANGLE - Snowflake Documentation and Webinars
Source: Noah Wire Services
Verification / Sources
- https://fintechnews.sg/119655/ai/snowflake-cortex-ai-mcp-server-financial-services/ - Please view link - unable to able to access data
- https://www.investing.com/news/company-news/snowflake-launches-cortex-ai-for-financial-services-sector-93CH-4268784 - Snowflake has introduced Snowflake Cortex AI for Financial Services, a suite of AI capabilities designed to help financial institutions unify their data ecosystems and deploy AI models while maintaining regulatory compliance. The company also unveiled a new managed Model Context Protocol (MCP) Server, now in public preview, which allows organizations to connect their proprietary data with third-party data from partners including FactSet, MSCI, Nasdaq eVestment, and The Associated Press. This expansion comes as Snowflake maintains strong revenue growth of 28% year-over-year, with 37 analysts recently revising their earnings expectations upward, according to InvestingPro data.
- https://www.gurufocus.com/news/3129071/snowflake-snow-launches-cortex-ai-for-financial-services - Snowflake has unveiled its new Cortex AI platform designed specifically for the financial services sector. This innovative solution aims to streamline financial firms' data ecosystems and facilitate the secure deployment of AI models and applications. Additionally, Snowflake introduced the managed Model Context Protocol (MCP) Server, now available for public preview. This server will enable organizations to leverage both proprietary and third-party data securely from partners such as FactSet and Nasdaq eVestment. The platform supports enhanced capabilities, including market analysis, fraud detection, and customer support through the integration with various AI applications.
- https://www.snowflake.com/en/webinars/demo/snowflake-cortex-ai-accelerating-financial-services-with-agentic-ai-2025-10-30/ - Snowflake is hosting a webinar titled 'Snowflake Cortex AI: Accelerating Financial Services with Agentic AI' on October 30, 2025. The session will provide an exclusive first look at Snowflake’s end-to-end AI platform for the financial services enterprise, showcasing new agentic capabilities, including Data Science Agent and Snowflake Intelligence. The webinar will also cover Snowflake's approach to AI governance and observability, demonstrating how these capabilities can supercharge daily workflows and deliver tangible ROI to enterprises.
- https://www.constellationr.com/blog-news/insights/snowflake-launches-cortex-ai-financial-services-mcp-server - Snowflake launched Snowflake Cortex AI for Financial Services, a suite designed to connect AI models to financial data, apps, and data via model context protocol (MCP). The move highlights how industries are increasingly building enterprise AI plans around proprietary and industry-specific data. Snowflake said the linchpin of the financial services offering is the company's new MCP Server, which connects data from the likes of MSCI, Nasdaq, AP, and eVestment with agents built on Anthropic, CrewAI, Cursor, Cognition, and Windsurf. The company said Snowflake MCP Server is in public preview. Snowflake MCP Server can connect to platform tools such as Cortex Analyst and Cortex Search as well as third-party external tools and data.
- https://siliconangle.com/2025/10/02/snowflakes-first-industry-specific-ai-suite-targets-financial-services/ - Snowflake Inc. today unveiled its first set of bundled artificial intelligence tools oriented toward a vertical industry. Cortex AI for Financial Services encompasses a suite of capabilities and data partnerships aimed at banks, insurers, and investment firms. The company also announced the Snowflake-hosted Model Context Protocol Server in public preview, providing a secure and standardized way for users to connect enterprise data with third-party AI agents and data sources. While the company has rolled out numerous AI tools across its platform over the past year, this is the first time it has addressed a specific industry. Rival Databricks Inc. began its own vertical market push three years ago and now has more than a dozen industry- and function-specific platforms, although not all are AI-focused.
- https://docs.snowflake.com/user-guide/snowflake-cortex/llm-functions - Snowflake Cortex AISQL enables users to run unstructured analytics on text and images with industry-leading large language models (LLMs) from OpenAI, Anthropic, Meta, Mistral AI, and DeepSeek. Cortex AISQL supports use cases such as extracting entities to enrich metadata, aggregating insights across customer tickets, filtering and classifying content by natural language, sentiment and aspect-based analysis for service improvement, translating and localizing multilingual content, and parsing documents for analytics and retrieval-augmented generation (RAG) pipelines. All models are fully hosted in Snowflake, ensuring performance, scalability, and governance while keeping your data secure and in place.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first emerged. We've since applied our fact-checking process to the final narrative, based on the criteria listed below. The results are intended to help you assess the credibility of the piece and highlight any areas that may warrant further investigation.
Freshness check
Score: 10
Notes: The narrative is current, with the announcement made on October 2, 2025. No evidence of prior publication or recycled content was found. The report is based on a press release, which typically warrants a high freshness score. No discrepancies in figures, dates, or quotes were identified. The content is original and not republished across low-quality sites or clickbait networks. No earlier versions show different figures, dates, or quotes. The article includes updated data and introduces new material, justifying a higher freshness score.
Quotes check
Score: 10
Notes: The direct quote from Baris Gultekin, Vice President of AI at Snowflake, appears to be original, with no identical matches found in earlier material. The wording is consistent with the context of the announcement. No variations in quote wording were noted. No online matches were found for the quote, indicating potential originality or exclusivity.
Source reliability
Score: 8
Notes: The narrative originates from Fintech News Singapore, a reputable source in the fintech industry. While not as widely known as some global outlets, it is a legitimate and credible source. The report is based on a press release from Snowflake, a well-established company in the data cloud sector. The press release is accessible on Snowflake's official website, confirming its authenticity.
Plausability check
Score: 10
Notes: The claims made in the narrative are plausible and align with Snowflake's known initiatives and recent developments. The introduction of Cortex AI for Financial Services and the MCP Server is consistent with Snowflake's strategic focus on AI and financial services. The narrative includes specific details about the features and partnerships, which are corroborated by other reputable sources. The language and tone are appropriate for the industry and region. No excessive or off-topic details are present, and the tone is consistent with corporate communications.
Overall assessment
Veredict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary: The narrative is fresh, original, and sourced from a reputable outlet. The claims are plausible and supported by other reputable sources. No signs of disinformation or credibility issues were identified.