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 ...

The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the reliable ...

Accelerated use of AI in software development is rapidly altering the scope, skills, and strategies involved in securing code ...

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

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

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

For years, the cybersecurity industry has spoken about AI attacks in the future tense. We imagined sentient super-hackers dismantling firewalls with alien logic. The reality, as we are discovering in ...

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 ...

When 0APT and KryBit attacked each other, they exposed infrastructure and operational data, giving defenders rare insight ...

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...