The Silent Container Death: A TCP Dial That Never Times Out

Securing AI agents requires securing the systems around them

Why Red Hat is building secure agent onboarding

Agentic AI for network operations: Smarter decisions on proven automation

Balancing open science and data privacy with enterprise Red Hat OpenShift AI

Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1

Why Red Hat is building an open foundation for enterprise agents with OpenClaw Enterprise

Detection and Response Worked. Now Fix the Root Cause

Construction companies have always been data-rich businesses. Every project generates an enormous amount of information—from project plans and budgets to schedules, change orders, inspections, safety reports, equipment data, material costs, labor hours, weather conditions, and countless other details. But there is a difference between having all that data and actually putting it to work, which

Template repo for preparing CNCF Sandbox applications with checklist-driven GitHub issues - OSAS/cncf-sandbox-application-template

Technology continues to open new possibilities for ocean research, underwater infrastructure inspection, and search-and-rescue efforts. As underwater missions become more complex, researchers are developing robots that can adapt to changing conditions and mission needs. As one example, researchers at Purdue University have developed a patent-pending underwater robot that can change how it moves during a

How to manage aircraft leases with AI agents

Data Security Patterns for AI Integrations

AutoRAG pipeline optimization in Red Hat OpenShift AI

Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications

Here at Connected World and The Peggy Smedley Show, we often talk about how to scale AI (artificial intelligence) in manufacturing. We live, eat, and breathe this topic. But if we really look at the numbers, it tells a much different story in 2026. Only 22% of organizations have successfully scaled AI across multiple business

Building a Secure MCP Server for File Processing

Fall has always been one of my favorite times of year. Partly, because of the beautiful colors we have here in the Midwest, but I also love the fresh start—the new routines, fuller calendars, earlier mornings, and more predictable evenings. Most of all, I love the opportunity to reset after summer. September brings routines back

Build a Production-Ready iOS App With AI-Generated Code

Your Application Has an Unindexed Attack Surface

Turning security complexity into useful intelligence: What’s new in Red Hat Lightspeed

Sovereign AI and data services with Duality and Red Hat

Scaling enterprise AI fleets with Alquimia and Red Hat OpenShift AI

Smart enough, fast enough: Choosing the right models for agentic work

From data residency to digital control: Why the Middle East’s cloud future depends on the ecosystem

Beyond OCR: Achieving 98% billing accuracy with GroundX and Red Hat OpenShift AI

AutoRAG advances in Red Hat OpenShift AI 3.5

From bare metal to diverse AI revenue streams: Navigating the GPU cloud platform challenge

From fine-tuned model to cheaper and faster inference: Speculator training on Red Hat OpenShift AI with Kubeflow

Opening the black box: Profiling a secured agentic pipeline on Red Hat OpenShift AI

The datacenter myth: Why sovereign AI demands a tenancy model, not just geography

Open Source AI Intern (Waterford office, Ireland)

Open Source AI Intern (Waterford office, Ireland)

Run 40% more post-training experiments on the same GPUs with llm-d time-slicing | llm-d

A Firewall for AI Agents: Enforce Authority at Every Call

Data Governance for the Agentic Era

#Factoftheweek What if hospital employees no longer had to manually count inventory? That may sound like a small operational change, but Gartner says AI (artificial intelligence) and computer vision could soon make manual hospital inventory counting obsolete. The technology is moving beyond simply helping employees count supplies faster. Instead, autonomous supply rooms could continuously monitor

Here’s something three decades in construction have taught me: there will always be multiple vendors. And there’s never going to be one single vendor that does everything a project team needs. So, that makes the real question more interesting: how do you work with all the data across multiple platforms in a meaningful way? That

Continuous Application Security Testing No Longer Optional

Rafay and Red Hat publish joint reference architecture for sovereign AI cloud as a service

Red Hat AI 3.5: Scaling and governing AI agents in production

Red Hat sponsors the OpenClaw Foundation to advance an open future for production AI agents

Build a compliance assistant with AutoRAG and Red Hat OpenShift AI

Insights-client updates standardize RHEL package management

NVIDIA BlueField security and acceleration arrive on the Red Hat AI Factory with NVIDIA and Red Hat OpenShift

Part 2: Securing and Scaling Goose-to-Java Agent Traffic

Why Your CI/CD Tools Are the New Cyber Battlefield

Why faster coding isn't making delivery any faster