AI risk lives at the schema layer, not the model. Learn why database governance matters more than model governance for reliable AI systems.

Overview Poor schema planning creates rigid systems that fail under growing data complexityWeak indexing and duplication reduce performance and increase mainten ...

AI. Learn why the schema confidence gap matters, what it costs, and how to close it with automated governance.

A new tool from Google Cloud aims to improve the accuracy of AI agents querying databases in multi-agent systems or ...

An ODBC driver acts as a translator, allowing your favorite desktop and server applications to 'speak' to the HubSpot API as ...

How mature is your AI agent security? VentureBeat's survey of 108 enterprises maps the gap between monitoring and isolation — ...

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

The breach is in the databaseBy Johan Lamberts, Managing Director, Ascent TechnologyIssued by Ascent TechnologyJohannesburg, 17 Apr 2026 The frequency of breaches is rising. (Image source: 123RF) At ...

The security industry has spent the last year talking about models, copilots, and agents, but a quieter shift is happening ...