As fintech platforms grow, the mix of performance tuning and security oversight becomes harder to manage manually. Systems ...

Flaws in OpenEMR's platform — used by more than 100,000 healthcare providers — enabled database compromise, remote code ...

New research exposes how prompt injection in AI agent frameworks can lead to remote code execution. Learn how these ...

Overview:  BigQuery demand is rising in 2026 as more companies rely on cloud data platforms for decision-making.The right ...

A misconception is currently thriving in the industry that one can become a Generative AI expert without learning ...

AI agents promise to transform business workflows, but their effectiveness depends on secure, reliable access to enterprise data. In this episode of DEMO, Keith Shaw speaks with Mike Albritton, Senior ...

We’re talking past each other because our tech vocabulary is outdated; we need specific labels to separate valuable AI work ...

Microsoft’s Azure-based AI development and deployment platform shines with a strong selection of models and agent types and ...

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

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

An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the ...

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.