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 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 - Snowflake Blog blogaigovernancesnowflake ·
Snowflake AI agent backup protection for enterprise data
Snowflake has introduced AI agent backup protection to mitigate risks from autonomous AI errors. This feature provides immutable backups, disaster recovery capabilities, and enhanced data resilience for enterprise data. It aims to bolster data protection against accidental data loss or corruption caused by AI agents.
feature - Snowflake Blog blogaigovernancesnowflakehealthcare ·
Snowflake's Data Governance for Trustworthy AI in Healthcare
Trustworthy AI in the healthcare sector relies on robust data governance, including auditability, lineage tracking, and human oversight. Snowflake provides the foundational capabilities to support these critical aspects. This article explains the interdependencies and Snowflake's role in enabling secure and compliant AI applications.
announcement