Snowflake Releases

Snowflake blog and product updates. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.

Tracking 86 Snowflake releases · Updated

  • Snowflake Blog blogaisecuritygovernancesnowflakeengineer ·

    Snowflake Enhances AI Security with Agentic Controls and Governance

    Snowflake announced new enterprise-grade AI security features at Black Hat 2026, including the Cortex AI Gateway and tools for managing agent identity and preventing data exfiltration. These features aim to provide robust security for AI applications deployed on Snowflake. The enhancements are targeted at organizations leveraging AI and sensitive data, offering greater control and visibility.

    feature announcement
  • Snowflake Blog blogaigovernancesnowflakeengineer ·

    Snowflake CoCo for Enterprise AI

    Snowflake CoCo is a new offering designed to scale enterprise AI applications securely and with control. It includes features like Desktop, Cloud Agents, AI cost governance, and Agent Settings. This aims to provide the necessary tools for organizations to build and deploy AI responsibly at scale.

    feature announcement
  • Snowflake Blog blogaigovernancesnowflakeengineer ·

    Snowflake Powers Team USA Bobsled/Skeleton Data Collaboration

    Snowflake highlights its partnership with Team USA Bobsled/Skeleton, showcasing how its data collaboration platform, Snowflake CoWork, enables athletes and coaches to refine split-second decisions using data analytics. This collaboration focuses on optimizing push starts, race strategy, and talent recruitment, demonstrating the impact of AI and data on athletic performance. The insights gained are expected to extend to future Olympic cycles, including the LA28 Games.

    announcement
  • Snowflake Blog blogaigovernancesnowflakearchitect ·

    Snowflake Advocates Owning the Context Layer for AI

    Snowflake's latest commentary emphasizes the critical need for brands to own and protect their 'context layer' – the proprietary intelligence and vernacular that defines their unique identity. As AI adoption accelerates, surrendering this context to vendors for shared model improvement risks commoditizing brand differentiation and benefiting competitors. The article argues for building and governing a proprietary context layer within one's own environment, bringing AI models and partners to the data, a strategy Snowflake itself implements.

    announcement
  • Snowflake Blog blogaigovernancesnowflakeengineer ·

    Snowflake Enhances FinOps with AI Cost Management and Governance

    Snowflake is integrating AI capabilities, like its Snowflake CoCo™ agent, into its cost management tools to improve visibility and governance of AI workloads. This addresses the increasing complexity of AI spend, which has become a top priority for FinOps teams according to recent industry reports. The new features provide natural language cost analysis, explainable anomaly detection, and granular AI cost visibility, enabling teams to better manage and control AI investments. These enhancements are rolling out to Snowflake users, with some features like the redesigned Account Overview already generally available.

    feature
  • Snowflake Blog blogaigovernancesnowflakearchitect ·

    Data Platform-Centric Approach for Legal AI Governance

    This article advocates for a data-platform-centric approach to deploying AI in legal operations, arguing that a model-centric approach falls short by lacking institutional context and governance. By embedding controls within the enterprise data platform, organizations can ensure consistent, enforceable AI behavior, preserving confidentiality and auditability. This data-native architecture enables context-aware reasoning and a compounding feedback loop, crucial for responsible and scalable legal AI.

    announcement
  • Snowflake Blog bloganalyticsaigovernanceengineer ·

    Snowflake Report: AI Governance for Marketing Leaders

    Snowflake has released its fifth "Modern Marketing Data Stack" report, focusing on the challenges of AI governance for marketing leaders. The report emphasizes the convergence of AI, privacy, and data gravity, highlighting how unified and governed data is crucial for effective AI agentic workflows. It provides guidance for marketers on building a robust data foundation and embracing composable architectures to scale AI initiatives securely and efficiently.

    announcement
  • 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 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 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 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 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 bloggovernancesnowflakegaengineergovernment ·

    Snowflake Lakehouse Integrates Apache Iceberg for Data Governance

    Snowflake now supports managed Apache Iceberg tables, enabling unified storage, governance, and semantics within its Lakehouse architecture. This feature provides users with greater control over their data assets by integrating a popular open table format. This enhancement is available for all Snowflake users seeking to manage data more effectively.

    feature
  • Snowflake Blog bloggovernancesnowflakeengineer ·

    Snowflake Announces 2026 Partner Award Winners

    Snowflake has recognized its top partners for the year 2026. These awards celebrate partners who have demonstrated innovation, delivered significant customer value, and achieved excellence within the Snowflake ecosystem. The winners represent various fields of expertise and contributions to the platform.

    announcement
  • Snowflake Blog blogaisecuritygovernancesnowflakeengineer ·

    Snowflake Enhances Enterprise AI with Context, Governance, and Security

    Snowflake is introducing features to improve the deployability of enterprise AI, focusing on consistent context and governance through Horizon Context and Catalog. These enhancements also include AI security improvements and workload-aware Adaptive Compute to boost confidence in AI deployments for organizations.

    feature announcement
  • Snowflake Blog blogdatagovernancesnowflakegaarchitect ·

    Snowflake Metadata Hub Unifies Data Estate

    Snowflake introduced the Metadata Hub to unify disparate data estates, enabling cross-platform governance without requiring data migration. This feature aims to streamline data management and compliance efforts for organizations. It is designed for data architects and engineers managing complex data environments.

    feature announcement
  • Snowflake Blog blogaigovernancesnowflakeengineergovernment ·

    Slalom: Federal Agencies Should Reconsider Snowflake for AI, Governance, Cost

    A new analysis by Slalom suggests federal agencies should re-evaluate their use of Snowflake as a cloud data platform. The report highlights concerns regarding AI readiness, governance capabilities, cost management, and secure data sharing. This perspective is particularly relevant for government entities evaluating their data infrastructure.

    announcement
  • Snowflake Blog blogaigovernancesnowflakeengineer ·

    Snowflake to acquire Natoma for governed AI agent access

    Snowflake plans to acquire Natoma to enhance enterprise access to AI agents with improved controls. This acquisition aims to strengthen identity, policy, audit, and security for connecting AI agents to business applications. The integration will benefit organizations looking to deploy AI responsibly within their existing enterprise systems.

    announcement feature
  • Snowflake Blog blogaigovernancesnowflakegovernment ·

    Snowflake and GSA Partner for AI-Driven Government Initiatives

    Snowflake and the U.S. General Services Administration (GSA) have entered into a new agreement to help federal agencies overcome data silos. This collaboration aims to boost mission effectiveness and expedite IT modernization efforts for government workers.

    announcement
  • Snowflake Blog blogaigovernanceanalystfinance ·

    Semantic Layer in Financial Services AI Risk

    Inconsistent definitions in financial services AI create risk, drift, and governance gaps. A reliable semantic layer is crucial for mitigating these issues. This content explains the importance of a unified semantic layer for AI in finance. It highlights potential pitfalls and the need for robust governance.

    announcement

About Snowflake release tracking on ReleaseBytes

Snowflake's weekly releases, behaviour change bundles and feature announcements are easy to lose track of. ReleaseBytes follows the official Snowflake release channels and summarises each update, flagging behaviour changes and deprecations that need action before they are enforced.

Frequently asked questions

How often are Snowflake release notes updated on ReleaseBytes?

Continuously. ReleaseBytes monitors the official Snowflake release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.

What kinds of Snowflake changes does ReleaseBytes track?

New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.

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Where does the Snowflake release data come from?

From the official sources: Snowflake blog and product updates. Every item links back to the original vendor announcement.