Unanswered questions

AI tools are becoming part of everyday business workflows, but they can also create new data security concerns. Employees may accidentally share sensitive information such as customer details, credentials, internal documents, or confidential logs with AI systems.One challenge is knowing what data is being sent to an AI service and whether sensitive information has been removed before processing. Access controls, data classification, monitoring, and redaction can help reduce unnecessary exposure.For teams using OpenSearch or other security platforms, I’m interested in how others are approaching this problem. Are you monitoring AI-related data flows, restricting access to sensitive fields, or using automated detection and redaction before data reaches an AI system?Question:What approach are you using to prevent sensitive data from being exposed through AI tools?

Hi,I’m creating a custom CData REST RSD for the Cynet API and consuming it through Incorta.The RSD performs two calls: first a POST to obtain the access token, then a GET to the Alerts endpoint using the Bearer token.The login works and the token is populated (length is 857 characters). I also confirmed that httpGet retrieves the raw response body from the Alerts endpoint. However, jsonproviderGet returns 0 rows.The response from the Alerts endpoint is structured like:{ "SyncTimeUtc": "2026-09-28T06:28:02.0628506Z", "Entities": [ { "ClientDbId": 166, "Uniqueness": "...", "IncidentName": "Host Was Not Scanned", "IncidentDescription": "..." } ]}Here is the relevant RSD:<api:script xmlns:api="http://apiscript.com/ns?v1" xmlns:xs="http://www.w3.org/2001/XMLSchema"> <api:info title="CynetAlerts" desc="Cynet alerts - rolling last 30 days" xmlns:other="http://apiscript.com/ns?v1"> <attr name="ClientDbId"

Hey All, I’d like to enable cdata sync’s alter schema feature. However, I want to set any newly discovered columns  in the source table to a string data type in the target table. I’d also like to Alter schema to not change the data type of the target table, even if the source data type changes. My staging tables all use string data types for every field. Is this possible? is there an advanced setting that I can enable?  I checked the cdata sync documentation for Alter Schema and didn’t see this mentioned. 

--- Starting SF_Replicate for Account V965613:21:34: Parameters: SALESFORCEDEV Account Version: V965613:21:38: Running DBAmpAZ.exe.13:21:38: DBAmpAZ 22.0.9670.0 Copyright c 2023 CData Software, Inc.13:21:38: Warning: Could not get Session Info from Registry.13:21:38: Using options specified in Options parameter: soap,default13:21:38: Error: Unable to open a connection to SQL Server.13:21:38: System.Data.SqlClient.SqlException (0x80131904): Login failed for user 'dbamp'. at System.Data.SqlClient.SqlInternalConnectionTds..ctor(DbConnectionPoolIdentity identity, SqlConnectionString connectionOptions, SqlCredential credential, Object providerInfo, String newPassword, SecureString newSecurePassword, Boolean redirectedUserInstance, SqlConnectionString userConnectionOptions, SessionData reconnectSessionData, DbConnectionPool pool, String accessToken, Boolean applyTransientFaultHandling, SqlAuthenticationProviderManager sqlAuthProviderManager) at System.Data.SqlClient.SqlConnectionFactory

We should always remember that we are working on Scaling Laws & Emergent Abilities.... What are scaling laws in large language models, and how do model size, training data, and computational resources affect performance? Why might certain capabilities appear suddenly as models become larger? RegardsSoumitra Dutta