LLM-based sensitivity detection on Structural Cloud
On Structural Cloud, sensitivity scans now include more comprehensive sensitivity type identifications that are driven by LLM inference. The LLM-based sensitivity detection analyzes schema metadata and a small set of 3 or fewer data samples, which allows Structural to provide better type identification and expanded generator suggestions.
For more information about AI use in Structural, go to How Structural uses AI in the Structural user guide. To learn more about how these enhanced recommendations work or to discuss how to disable them for your account, contact support@tonic.ai.
Added global permission validation for the following API endpoints:
GET api/environment/settings
GET api/environment/settings/environment_overrides
GET api/external-secrets-managers
Added the following new API endpoints that include workspace permission validation:
GET api/workspace/{workspaceId}/environment/settings
GET api/workspace/{workspaceId}/environment/settings/environment_overrides
GET api/workspace/{workspaceId}/external-secrets-managers
On the column and field configuration panel, all of the available reset options are combined into a single Reset menu next to the generator selection. Depending on the context, you might be able to reset to Passthrough, to the preset baseline configuration, to the configuration for the matching path generator, or to the parent workspace configuration.
Structural no longer outputs log messages and associated UI warnings about bad data or missing fields during file processing for every erroneous row. Instead, Structural emits the first error within a file, then emits a summary of the errors at the end of the file processing.
Fixed an issue where blank lines in a file were not counted towards the ‘Skip’ count, which sometimes caused incorrect processing.