A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...

The new tool is built natively into Slack’s collaboration app, meaning it has ready access to a user’s work life, ...

AI autonomy is here. The question is whether businesses will drive that transformation or watch from the sidelines.

Google's Gemini, in a pristine state, will power Siri and the broad Apple Intelligence stack. The foundations are ready, but ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI deployments. At the beginning of the modern generative AI era, purpose-built ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...

The Redmond-based company is accelerating intelligent automation to improve the customer experience and operational ...