Most data engineering teams still work in a translation loop. A business team asks for a churn model, a risk view or a ...

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 ...

There is a widening gap between the sophistication of manufacturing data models and the reality of the production line.

In today's security landscape, some of the most dangerous vulnerabilities aren't flagged by automated scanners at all. These ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

If you are a CIO or CISO evaluating an agentic AI platform, ask the same questions you would ask about any enterprise ...

AI is uncovering decades-old software bugs at scale, forcing a race to patch vulnerabilities before attackers gain access to ...

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.

Learn how protecting software reduces breaches, downtime, and data exposure. Includes common threats like injection, XSS, and weak access.

Six financial institutions make LinkedIn‘s 2026 Top Companies list for Singapore, from a homegrown lender at number one to a ...

Oracle has introduced the AI Database Agent for Gemini Enterprise through its Google Cloud partnership, enabling natural ...