Snowflake releases
Snowflake blog and product updates. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 52 Snowflake releases · Updated
- Snowflake Blog blogaisecuritygovernancesnowflakeengineergovernment ·
Snowflake Data-Model-Agent Security Framework for AI Agents
Snowflake introduced a new Data-Model-Agent security framework to address the risks posed by AI agents executing tasks on behalf of businesses. This three-layer approach integrates security into the data, model, and agent layers, offering defense-in-depth for governed AI operations. The framework aims to provide enterprise-grade security, including distinct agent identities, tool governance, and prompt injection defenses, for organizations deploying AI agents.
feature announcement - Snowflake Blog blogaisnowflakeengineerfinancemedia ·
Snowpipe Streaming and CoCo Simplify Real-Time Data Pipelines
Snowflake's Snowpipe Streaming now offers a direct ingestion API for real-time data loading, reducing latency for time-sensitive applications. To address setup complexity, the CoCo AI coding agent streamlines configuration and script generation, enabling faster deployment of streaming pipelines. This combination benefits data engineers, particularly in industries like finance requiring immediate data analysis. Skills are available via GitHub for quickstart and advanced AI integration.
feature - Snowflake Blog blogdataaisnowflakeengineer ·
Snowflake and Accenture Partner to Create Agentic Enterprise
Snowflake and Accenture are collaborating to enable an "agentic enterprise" by integrating governed data with intelligent agents capable of making and executing decisions. This partnership aims to address the challenge of deploying AI agents in fragmented environments by providing essential decision context and industry-specific intelligence. The solution leverages Snowflake's data platform as a foundation and Accenture's Context Graph to translate governed data into governed actions across various business functions and industries.
announcement feature - Snowflake Blog blogaisnowflakearchitecthealthcare ·
Snowflake: AI Agents in Healthcare - Key Considerations for Leaders
This article outlines critical questions for healthcare and life sciences leaders adopting agentic AI, moving beyond simple tasks to orchestrating complex workflows. It emphasizes the need for trusted data foundations, robust governance, secure data access, and strategies to mitigate AI hallucinations. The piece advises leaders to assess their organization's readiness for privacy, security, and auditability when deploying these powerful AI agents.
announcement - Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake Adds Support for Agentic Resource Discovery Specification
Snowflake is announcing support for the Agentic Resource Discovery (ARD) Specification, an open protocol for cataloging and discovering AI agents and tools across an enterprise. This aims to solve the problem of finding available AI capabilities and makes agents discoverable across different interfaces like Snowflake CoWork and Microsoft Copilot. The specification allows clients to describe a task in natural language and receive ranked matching agents with their descriptions and endpoints, while maintaining data access control with the agent provider.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake Apps Now Support Full-Stack Web Apps and AI Code Generation
Snowflake Apps now include support for full-stack web applications, allowing developers to build and deploy them directly on the Snowflake platform. This feature aims to accelerate app development by eliminating infrastructure provisioning and configuration, integrating security, and leveraging AI-powered tools for coding and deployment. Available in public preview, Snowflake Apps are designed for engineers and architects working with data-intensive applications on Snowflake.
feature announcement - Snowflake Blog blogaigovernanceobservabilitysnowflakeengineer ·
Snowflake Well-Architected Framework Enhanced for AI Era
Snowflake has updated its Well-Architected Framework (WAF) to better support AI and data workloads, addressing challenges in governance, observability, and cost control. New features include cross-cutting lenses for domain-specific concerns, automated assessments via Snowflake CoCo skills, and guided implementation through Blueprint Manager. These enhancements enable organizations to continuously assess and improve their Snowflake environments for better security, reliability, performance, and cost optimization, particularly for AI initiatives.
feature - Snowflake Blog blogaiawssnowflakegaengineer ·
Snowflake Adaptive Compute Achieves General Availability on AWS
Snowflake Adaptive Compute is now generally available on AWS, offering a workload-aware approach to infrastructure that aims to balance performance, scalability, and ease of use for AI and dynamic data workloads. This feature aims to boost throughput, accelerate time to insight, and free up engineering resources by automating infrastructure management. It is now available in expanded global regions and offers superior price-performance compared to previous warehouse generations.
feature announcement - Snowflake Blog blogdataaiengineer ·
AI Shifts Data Engineering: Declarative Pipelines and Agentic Future
Data engineering is shifting towards a declarative approach to handle AI's demands and evolving from manual tasks to strategic execution. This allows for more efficient pipeline development, enabling the integration of AI tools like coding agents, which are adept at modern, software-defined data engineering practices. The future role of data engineers will focus on advanced data modeling and system architecture, ensuring data quality and availability for AI and applications, as detailed in a new guide on building resilient data pipelines.
announcement - Snowflake Blog blogaigovernancesnowflakeengineer ·
Snowflake Ventures invests in Jedify for enterprise AI context
Snowflake Ventures is investing in Jedify, an autonomous context graph for enterprise AI, to address challenges with data context and trustworthy answers in AI deployments. This partnership aims to provide AI agents with grounded business context by automating the creation and governance of semantic models on Snowflake. Jedify's Snowflake Native App is currently in private preview, with wider availability expected on Snowflake Marketplace.
announcement feature - Snowflake Blog blogaisnowflakeanalystfinance ·
Financial Services AI Adoption Accelerates with ROI and Agentic Focus
Financial services firms are rapidly moving from AI pilots to tangible business value, with 68% reporting quantifiable positive ROI from generative AI. Agentic AI is emerging as the next frontier, although governance will be key for safe scaling, with 30% of firms already using it in production. Proprietary data is now a foundation for competitive advantage, with 92% of firms training LLMs on their own data. AI is also showing a positive workforce impact, challenging notions of job elimination.
announcement - Snowflake Blog blogaisnowflakeengineerhealthcare ·
Snowflake Summit: AI Agents and CoWork for Healthcare
Snowflake announced new AI agent capabilities and updates to its CoWork AI companion at Snowflake Summit, focusing on transforming healthcare workflows. These advancements aim to move the industry from passive AI to proactive, governed intelligence, enabling personalized insights and automated tasks for knowledge workers. The new features, with many in public preview, are designed to address complex data challenges in regulated healthcare environments and support scalable enterprise AI execution.
feature announcement - Snowflake Blog blogdataaisnowflakeengineer ·
Snowflake Enhances AI Data Engineering with New Pipeline Capabilities
Snowflake has introduced new AI-powered features for data engineering, aiming to make pipeline creation more robust and efficient. These capabilities integrate AI directly into workflows, offering agentic assistance, autonomous pipelines, and improved declarative options for SQL and Python developers. The updates focus on reducing manual effort, accelerating time-to-production, and enhancing governance for all data engineers working within or across lakehouses and Snowflake.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Anthropic's Claude Fable 5 Available on Snowflake Cortex AI
Anthropic's latest model, Claude Fable 5, is now available in private preview on Snowflake Cortex AI. This Mythos-class model enhances capabilities for complex, long-running tasks, benefiting data engineers, analysts, and developers. It integrates with Snowflake CoCo, Cortex Agents, Cortex AI Functions, Cortex Inference, and Snowflake CoWork, all within Snowflake's security and governance perimeter.
feature announcement - Snowflake Blog blogdataaisnowflakeengineer ·
Snowflake CoCo AI agent gains Snowpark Python deployment skill
Snowflake introduced a new AI-powered skill for its CoCo coding agent, named snowpark-python, designed to streamline the deployment of Python pipelines to Snowflake. This feature aims to reduce the overhead of dependency management, configuration, and tool context-switching for data engineers, enabling them to deploy local Python code to production-scale workflows with a single prompt. The skill is available now within Snowsight, CLI, and IDE extensions, offering authoring, deployment, and observability assistance.
feature announcement - Snowflake Blog blogaisnowflakegaengineer ·
LGND AI Wins 2026 Snowflake Startup Challenge
LGND AI, a company creating Large Earth Models (LEMs) trained on planetary imagery, has won the 2026 Snowflake Startup Challenge. Their technology aims to make Earth observation data queryable by AI, enabling applications in insurance, government, and AI agents. LGND AI leverages Snowflake's platform, including Snowpipe, Dynamic Tables, and Cortex Search, to process vast amounts of geospatial data and build sophisticated AI applications for understanding the physical world. Runners-up Airrived and Twine Security were also recognized for their AI agent innovations.
announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake and OpenAI launch production-ready business-native AI
Snowflake and OpenAI have launched a production-ready integration, making frontier AI models available directly within Snowflake Cortex AI. This partnership aims to empower employees with AI that understands business context, securely and at scale, across AWS, Google Cloud, and Azure. The integration offers unified governance and leverages Snowflake's semantic layer for improved accuracy and reduced costs.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake: Accelerate AI Agents with Enterprise Security
Snowflake introduces enhanced enterprise-grade AI security controls to help organizations safely move AI agents from pilot to production. This feature addresses the need for secure AI development and deployment within large enterprises. The controls are built directly into the Snowflake platform, offering integrated protection for AI workloads.
feature announcement - Snowflake Blog bloganalyticsaigovernancesnowflakeengineer ·
Snowflake Horizon Context: Governed Semantic Foundation for AI and BI
Snowflake Horizon Context is a new capability within Horizon Catalog that provides a connected, governed semantic foundation. This layer offers active context for AI and BI applications, enabling more informed and governed insights. It is designed for users leveraging Snowflake for AI and business intelligence initiatives.
feature announcement - Snowflake Blog blogaisnowflakeengineer ·
Snowflake CoCo: AI coding agent for data teams
Snowflake CoCo is an AI coding agent designed for data teams, integrating with desktop, mobile, and Slack applications. It leverages governed enterprise data to provide grounded AI assistance. Async APIs are also available for broader integration.
feature announcement