Researchers at security firm AISLE said they recently identified 38 vulnerabilities, including two maximum-severity zero-day ...

Chicago-based startup removes barrier between raw, unstructured data and the tools analysts already use, making every ...

Veeam Backup & Replication (VBR) continues to set the pace in enterprise data resilience. With v13 having landed in November ...

Connecting an LLM to your proprietary data via RAG is a massive liability; without document-level access controls, your AI is ...

Web developers are moving away from the library wars and into a world of architectural choice. It’s about where you want the ...

Overview RAG is transforming AI apps, and vector databases are the engine behind accurate, real-time responsesChoosing the ...

Connecting different software systems is a big deal for businesses these days. When things work together smoothly, ...

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 ...

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

LogMiner-QA ingests raw application logs and uses AI and machine learning to automatically generate Gherkin test scenarios.

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.

Monday cybersecurity recap on evolving threats, trusted tool abuse, stealthy in-memory attacks, and shifting access patterns.