Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Oracle has expanded its partnership with Google Cloud to give joint customers new ways to operationalize AI across enterprise data. Under the expanded partnership, the Oracle AI Database Agent for ...

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

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise ...

Agentic AI tools present the possibility of substantial efficiency gains for legal teams, but the risks they pose require ...

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

UK-based IaaS ‘sovereign’ provider, with multiple public sector-facing clients, replaced end-of-life 3PAR arrays with ...

Corporations strategically control markets with open-source software. The community participates without realizing that the ...

American technology giants AWS, Google, and Microsoft dominate the global cloud database management systems (DBMS) market.

Enterprises are struggling to scale agentic AI. Here’s what’s holding them back and what it takes to move from pilots to production. The post Agentic AI: Scaling from pilots to production appeared ...

Role-Based Access Control (RBAC): Group users by their job function (like ‘developer’ or ‘finance’) and assign permissions to ...