Prompt injection guardrails now available in AWS_EU, AWS_JP, and AWS_APJ
Prompt injection guardrails in Cortex AI Guardrails are now available when the CORTEX_ENABLED_CROSS_REGION account parameter is set to AWS_EU , AWS_JP , or AWS_APJ . Previously, prompt injection guardrails required ANY_REGION , AWS_US , or AWS_GLOBAL .
Also shipped Sep 4, 2026Snowflake in September 2026 →
The Semantic Search feature is now generally available
The Semantic Search feature is now generally available. Looker (original) only changes
Gemini Enterprise: Monday federated data store (GA)
Connecting a Monday data source with Gemini Enterprise using data federation is generally available (GA). You can use the Gemini Enterprise app assistant to search across your Monday boards, items, updates, and docs, and get answers grounded in that content without needing to ingest the data. For more information, see Set up a Monday data store .
Gemini Enterprise: Create and manage projects
You can create and manage projects in the Gemini Enterprise web app to build a dedicated knowledge base for your own work or to collaborate with your team. Within a project, you can upload files and chat privately with the assistant to get answers grounded in your project files and web search. This feature is generally available (GA).
Gemini Enterprise: New data stores and support for new actions (Preview)
The following data stores are available in Public Preview in Gemini Enterprise: CoinDesk Relativity Streak (actions supported) Superhuman Mail You can search and read data from these data stores, and perform actions using natural language.
GitHub Copilot weekly releases , August 31
This week, GitHub Copilot expands model choice and content protections, while VS Code adds new ways to manage agent sessions and get pull requests merge-ready. GitHub Copilot, general Claude Fable 5.1 is available to Copilot Pro+, Max, Business, and Enterprise users. Gemini 3.8 Flash is rolling out to Copilot Pro, Pro+, Max, Business, and Enterprise users.
More from SnowflakeEvery Snowflake release →
SAS to Snowflake migration (Preview)
The Snowflake AIM Agent for Data Warehouses now supports migrating SAS workloads to Snowflake. This capability covers AI-assisted assessment of SAS codebases and AI-based code conversion of SAS programs to Snowflake SQL, including loading SAS dataset files ( .sas7bdat ) into Snowflake tables.
Snowflake Data Clean Rooms updates
The following updates are now available in Snowflake Data Clean Rooms:
Snowflake App Runtime (General availability)
Snowflake App Runtime is now generally available and is no longer in Preview .
Add and drop hybrid table constraints online (General availability)
With this release, you can add and drop UNIQUE and FOREIGN KEY constraints on an existing hybrid table by using alter table . Previously, you had to define these constraints when you created the table, so adding a foreign key to a table that was already serving a workload meant recreating and reloading the table.
Shadow traffic for gateways (Preview)
With this preview release, you can use a shadow traffic gateway to send all production requests to a primary service endpoint while mirroring a percentage of those requests to one or more shadow endpoints. Responses from shadow endpoints aren't returned to clients.
Using dbt artifacts for Slim CI and defer to production in dbt Projects on Snowflake (General availability)
Slim CI, defer to production, failed-execution recovery, and concurrent execution are now generally available for dbt Projects on Snowflake. Reuse dbt artifacts from recent production executions to accelerate development, streamline CI/CD workflows, and recover from failed production runs without maintaining a separate artifact store.
Snowflake Data Clean Rooms updates
The following updates are now available in Snowflake Data Clean Rooms:
External secret providers (Preview)
External secret providers are now in preview. If your organization already keeps API keys, database passwords, and similar values in AWS Secrets Manager, Azure Key Vault, or Google Cloud Secret Manager, Snowflake can read those values when a query needs them, so you don't have to maintain a second copy in a Snowflake secret .