GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

An employee pulls out a server rack shelf at the rear of a Trainium3 UltraServer at an Amazon Web Services QA lab in Austin, Texas, on February 3, 2026. Tech titan Amazon is working to step out of ...

Building a context layer between enterprise data stores and AI agents is bespoke work, with no standard service to automate or maintain the graphs over time. Amazon is making a direct play to change ...

The Microsoft Graph Core Python Client Library contains core classes used by Microsoft Graph Python Client Library to send native HTTP requests to Microsoft Graph API. To call Microsoft Graph, your ...

Cybersecurity researchers have disclosed details of three now-patched security flaws impacting LangGraph, including a critical vulnerability chain that could result in remote code execution. LangGraph ...

A previously undocumented state-backed threat actor named GopherWhisper is using a Go-based custom toolkit and legitimate services like Microsoft 365 Outlook, Slack, and Discord in attacks against ...

Microsoft Graph Explorer is built and developed using node v18. npm test to run tests from the command line for scenarios like parsing metadata and functional explorer tests. npm run lint linting your ...

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

A critical token validation failure in Microsoft Entra ID (previously Azure Active Directory) could have allowed attackers to impersonate any user, including Global Administrators, across any tenant.