Red Hat News

The drive toward NetOps-as-Code continues to reshape how enterprises manage their infrastructure. We see the demand for resilient, agile networks capable of supporting hybrid cloud applications and distributed edge environments continuing to grow, and Red Hat aims to support these needs with Red Hat Ansible Automation Platform. Recent advancements across the Red Hat Ansible Automation Platform and its partner ecosystem focus on turning this model into a practical reality. Here are some highlights of the last few months that show how the automation landscape is evolving to deliver scalable, AI-

Since February, over 1,500 organizations have used Red Hat's complimentary Digital Sovereignty Readiness Assessment to establish a sovereignty baseline in 15 minutes. Today we're introducing the Digital Sovereignty Readiness Appraisal, a workshop-based maturity evaluation that delivers capability-level analysis, industry-weighted scoring, facilitation materials, and an actionable transformation roadmap. The assessment framework is open source, and we've made it available on GitHub.A facilitated roadmap for true digital autonomyDigital sovereignty has moved from a compliance checkbox to a board

BackendTLSPolicy is a Kubernetes resource that allows the specification of additional Transport Layer Security (TLS) encryption in Gateway API. It gives Gateway API users on Red Hat OpenShift access to the same level of secured traffic as the OpenShift route provides with re-encrypt termination, and is now available in Red Hat OpenShift 4.22. Re-encrypt TLS termination is already used for the OpenShift route that provides access to the web console, and provides encrypted login functionality to customer applications.Gateway API is the open source, next-generation network ingress solution develo

IBM, Red Hat, and Deloitte Announce Lightwell Collaboration to Help Strengthen Open Source Software Supply Chain TrustDeloitte is teaming up with IBM and Red Hat to support Lightwell and strengthen the enterprise open source software supply chain. By backporting and validating patches directly into active production environments, the collaboration fixes vulnerabilities at machine speed without forcing disruptive, full-system software upgrades. Learn more Bloomberg Tech Disruptors Podcast - Red Hat president and CEO Matt Hicks on Open Source and Enterprise AIIn a recent Tech Disruptors podcas

Red Hat OpenShift Service Mesh 3.4 is generally available with Red Hat OpenShift and Red Hat OpenShift Platform Plus. Based on the Istio, Envoy, and Kiali projects, this release updates the version of Istio to 1.30, and Kiali to 2.27. Several updates to Istio’s sidecar-less ambient mode and more are included. Kiali introduces a new overview page to better manage service meshes at scale, while bringing AI-powered capabilities with Red Hat OpenShift Lightspeed to technology preview to help you diagnose and resolve issues faster. This post will also provide a preview of what is to come later th

At Red Hat Summit 2026, the conversation centered on a critical reality: AI agents are arriving in enterprise IT faster than most environments can govern them. Across the keynotes and more than 50 technical sessions, Red Hat made its position clear—organizations don't need to start over for the AI era. Instead, Red Hat Ansible Automation Platform is acting as the trusted, deterministic execution layer for autonomous AI.Here are the 4 defining themes and real-world breakthroughs from the event.1. Ansible Automation Platform 2.7 as the execution layer for the agentic eraBy 2027, the vast major

Insights from a customer roundtable at Red Hat Summit 2026Platform engineering and operations leaders from across industries—including airlines, utilities, financial services, higher education, and government—gathered for a candid conversation about agentic AI at Red Hat Summit 2026. We wanted to find out what's actually working, where the risks lie, and how teams are finding value today.From platform management to AI collaborationThe question underpinning every conversation at our roundtable was a variant of this: What does it look like when a platform stops being something you manage and

Maintaining operational stability while securing infrastructure against an ever-growing list of vulnerabilities is a daily balancing act. Red Hat Lightspeed provides the core services required to manage your infrastructure at scale.However, getting the most out of these services requires making a strategic decision: How should your infrastructure connect to Red Hat Lightspeed?The process of choosing a deployment architecture goes beyond engineering; it must also take business strategy into account, as it affects your data privacy, infrastructure costs, and operational agility. Red Hat Lightspe

AI is rapidly transforming how system administrators and developers interact with their environments. In 2025, we introduced the command line assistant, an optional tool available in Red Hat Enterprise Linux (RHEL) that allows users to ask questions and get natural language troubleshooting guidance right from the terminal.We're now announcing the next step in our AI-driven systems management journey—the availability of the goose AI agent in the RHEL extensions repository for RHEL 9.8 and RHEL 10.2. A project of the Agentic AI Foundation, goose is a flexible, open source AI agent that can be

Every telecommunications service provider is operationalizing AI right now. Use cases include customer care-bots, network operation co-pilots, and managed AI-as-a-service (AIaaS) for external enterprise customers and others. The uncomfortable part is correlation of use case with business case, where the key factor is the cost of the AI accelerator, whether that's a graphics processing unit (GPU), tensor processing unit (TPU), or neural processing unit (NPU). Cost per inference decides whether these AI accelerators improve profit margins or erode them; to keep costs down, the AI model you sele

The velocity at which new features are added and applications evolve directly drives up architectural complexity. This relentless pace isn't just driven by the desire for new features; it is increasingly forced by the constant discovery of new vulnerabilities. Patching a single critical dependency can trigger a cascade of required updates and unexpected architectural changes as each product and solution comes with a myriad of implementation options and various features to enable or disable. Tailoring this complexity to your specific environment makes it challenging to guarantee every component

The financial services industry, like many other sectors, is aiming to make best use of their hardware in the age of resource-intensive AI workloads. Financial services companies have come to rely on the advantages of a container-based architecture, but may worry that container orchestration platforms add performance penalties that could exacerbate resource constraints. The results of a new STAC-AI™ LANG6 (Inference-Only) audit, the industry-standard benchmark for evaluating large language model (LLM) inference performance in financial services, may help assuage those worries when it comes t

IBM, Red Hat and Palo Alto Networks Expand Project Lightwell to Help Organizations Respond to Software VulnerabilitiesRed Hat, IBM, and Palo Alto Networks have expanded Project Lightwell to combat AI-driven threats. The collaboration delivers rapid, network-level virtual patching alongside open-source software remediation to securely fix vulnerabilities. Learn more Ask Noah Show - Episode 494 with Mike McGrathRed Hatter Mike McGrath joins the podcast to discuss RHEL security best practices, the relationship with CentOS Stream, and how Red Hat balances open-source values with enterprise AI in

AI tools are transforming how system administrators and developers manage their infrastructure, but when using generic AI assistants to troubleshoot Red Hat Enterprise Linux (RHEL) systems, the advice can sometimes lack distribution-specific context. An AI tool might assume a different Linux environment, suggest commands from other distributions that do not apply to RHEL, or recommend disabling critical security controls to resolve a permissions issue.To help bridge this gap, we are introducing 2 new integrations, currently in developer preview, designed to bring Red Hat knowledge directly in

Every network operations (NetOps) professional knows the anxiety of a manual configuration update. Even when you meticulously plan the change, a single unrecorded variable or an ad hoc configuration tweak can cascade into unexpected downtime. Across large enterprises, network teams are constantly fighting a losing battle against configuration drift—the gradual, undocumented departure of live network state from the intended design—caused by these sorts of errors.This problem is commonly rooted in human data entry. When network engineers must manually copy and paste details between systems,

Platform engineering, security architecture, and operations teams are being asked to support 2 realities at once: modern application platforms such as Red Hat OpenShift, and long-lived Red Hat Enterprise Linux (RHEL) fleets that still run critical automation. These parallel systems introduce risk, especially around how users, workloads, or automation identities can be authenticated across environments. But there’s also larger questions at play: What boundary exists after privileged work starts? How are exceptions approved? How can operators prove that the intended boundary was active when t

AI models are outpacing human-scale security operations. AI can surface vulnerabilities across major systems faster than teams can act, and most organizations lack the patching capacity to keep up. The solution isn't more intelligence—it's a smarter approach to remediation and risk management.The bottleneck isn’t intelligence, it’s response. IT teams must react to threats while maintaining a hardened posture, and automation makes that possible at machine speed. Before AI models, security teams, site reliability engineers, and IT operations teams were already challenged with the volume of

As the world prepares for the next era of human spaceflight, ensuring the health of astronauts on missions to the Moon and Mars is a top priority. However, it presents a significant challenge for missions the farther away from Earth we go: providing high-quality medical care when real-time communication with Earth-based doctors could be limited or impossible.Researchers at NASA’s Johnson Space Center in Houston are testing the Crew Medical Officer Digital Assistant (CMO-DA) to meet this challenge. Powered by RamaLama for local AI inference, this clinical decision support system is designed t

AI coding assistants are transforming software development. The debate is no longer about whether to adopt them, but how to integrate them without compromising platform security, code quality, or operational compliance.AI has changed the economics of code productionWhether you're developing software in a proprietary enterprise or open source environment, you've witnessed a fundamental shift over the past year. Your developers are using AI coding assistants (GitHub Copilot, Cursor, Claude Code, ChatGPT Codex, etc.) to accelerate development. Productivity gains are real—features can ship faste

This past March, the community gathered for Red Hat OpenShift Commons in Amsterdam. As the "zero day" kickoff to KubeCon and CloudNativeCon Europe 2026, there was no shortage of innovative presentations and discussions, but one session stood out, "Sit, Stay, Deploy: Teaching a Robot Dog with Red Hat OpenShift." Figure 1., ITQ staffers Johan van Amersfoort, Chief Evangelist and AI Lead, and Sander Harrewijnen, Technologist speaking at the OpenShift Commons Gathering in Amsterdam.Presented by ITQ staffers Johan van Amersfoort, Chief Evangelist and AI Lead, and Sander Harrewijnen, Technologist, t