Releasesby IbisSensitive data classification error and retry updates
UpdateyesterdayUnverifiedAdded Oct 14, 2026
With this release, sensitive data classification provides more specific error messages when automatic classification fails.
Topics: Governance
More Snowflake Horizon Catalog releases
Every Snowflake Horizon Catalog releaseHorizon Context (Preview)
We're introducing Horizon Context in preview. Horizon Context extends Horizon Catalog with metadata from external systems and new ways to curate descriptions and preserve lineage, helping people and AI agents discover and understand data across your organization.
Snowsight interface for tags and data protection policies (General availability)
With this release, the Snowsight interface for tags and data protection policies is generally available. These areas require Enterprise Edition or higher .
DCM Projects ATTACH MASKING POLICY (Preview)
With this Public Preview release, you can use ATTACH MASKING POLICY in DCM Projects definition files to declaratively assign a masking policy to one or more columns in tables, Apache Iceberg™ tables, views, or dynamic tables. DCM Projects manages the masking policy attachment throughout its deployment lifecycle.
Programmatic notifications for Trust Center findings (Preview)
You can send Trust Center findings to enterprise ticketing and monitoring systems without waiting in Snowsight or email. Configure a notification integration for a webhook or queue, such as PagerDuty, Slack, Microsoft Teams, Amazon SNS, Azure Event Grid, or Google Pub/Sub, and Snowflake delivers findings that meet your severity threshold to that endpoint.
Account posture reporting in the Trust Center (Preview)
With this preview release, the Overview tab in the Trust Center includes an Account posture section. This section aggregates Trust Center monitoring activity for your account over a period that you select, showing scanning status, open findings, and at-risk entities.
Horizon Catalog Explorer UI (Preview)
With this release, the Horizon Catalog Explorer is the default experience for browsing Snowflake objects in Snowsight, replacing Database Explorer. The Horizon Catalog Explorer provides consistent navigation and object detail pages while preserving the tabs and actions that you already use.
Iceberg Scan Plan API in Horizon Catalog (Public Preview)
Public Preview release of Iceberg Scan Plan API in Horizon Catalog to enforce data protection policies.
Trust Center, secure by default approach for scanner package enablement
Secure by default is available only for accounts on Business Critical Edition or Virtual Private Snowflake (VPS) with a capacity contract.
Also shipped on Oct 13, 2026
Snowflake in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .