Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to automated testing, AI tools are increasingly embedded in the daily ...

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 ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

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 ...

Enterprises modernize legacy mainframe systems with AI agents, leveraging existing infrastructure while overcoming ...

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 ...

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

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.

The problem is rarely resistance. It is inertia. The weight of what is already working well enough, for long enough, to feel ...