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Red Hat

Enterprise open-source software subscriptions and services

Overview

Company Does Not Provide H1B Sponsorship

Red Hat sells subscriptions for open-source software and related services to enterprises. Its products, like Red Hat Enterprise Linux, OpenShift, and Ansible, are open-source but come with guaranteed updates, patches, and professional support through a subscription, so customers install the software and receive ongoing assistance. The company differentiates itself with an enterprise-focused, integrated stack and services around hybrid cloud, containers, and automation, backed by IBM as a strategic owner while Red Hat operates as a distinct unit. Its goal is to help large organizations deploy, manage, and scale open-source software across complex IT environments with predictable, enterprise-grade support.

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About Red Hat

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Why Red Hat is rated
B
Rated A on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Enterprise Software

Company Size

10,001+

Company Stage

IPO

Headquarters

Raleigh, NC

Founded

1993

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What believers are saying

  • IBM Q2 2026 said Red Hat revenue grew 11 percent, accelerating sequentially.
  • IBM Q1 2026 said Red Hat grew 10 percent, with consumption revenue stabilizing.
  • OpenClaw Enterprise, sponsored by Red Hat in 2026, positions it for enterprise agent platforms.

What critics are saying

  • CVE-2026-96659, disclosed October 1, 2026, exposes Satellite root passwords and command execution.
  • RHSB-2026-006 showed May 29, 2026 package compromise in Red Hat GitHub and npm.
  • IBM folded Red Hat finance, legal, HR, and accounting into IBM in 2026, eroding independence.

What makes Red Hat unique

  • Red Hat shapes Linux, OpenShift, and Ansible upstream, then monetizes enterprise subscriptions.
  • OpenShift reached $2 billion ARR in Q1 2026, proving hybrid-cloud platform depth.
  • Red Hat OpenShift AI and RHEL anchor regulated enterprise workloads across clouds.

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$34B

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • 401(k) Company Match
  • Paid Vacation
  • Paid Sick Leave
  • Paid Holidays
  • Parental Leave
  • Family Planning Benefits
  • Tuition Reimbursement

Growth & Insights and Company News

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NERDS.xyz
Nov 2nd, 2026
Claude AI can hijack vulnerable Linux servers without a password and Ubuntu still has no fix.

Claude AI can hijack vulnerable Linux servers without a password and Ubuntu still has no fix. IA terrifying security vulnerability in the Linux kernel could allow attackers to take complete control of affected servers without knowing a password or tricking anyone into clicking a malicious link. Making matters worse, researchers at Anthropic have demonstrated that artificial intelligence can develop a working exploit capable of turning this flaw into remote root access. The vulnerability, identified as CVE-2026-98432, carries a critical severity score of 9.8 out of 10. Although fixes have reached several major Linux distributions, Ubuntu remains vulnerable as of November 1, 2026, leaving administrators waiting for Canonical to deliver patched kernels. The flaw affects the Linux kernel's IPv4 networking code, specifically the way it handles certain TCP connections. This is particularly concerning because TCP is used by countless internet services, meaning the vulnerable code can be reached before an application even gets the opportunity to authenticate someone. According to a detailed security analysis published by Atlas, the problem dates back to Linux kernel 4.4. It involves a memory-management mistake known as a use-after-free vulnerability, where the kernel attempts to access memory that has already been released. Under the right circumstances, specially crafted network traffic can exploit this behavior to corrupt kernel memory, expose sensitive information, or crash a system. A successful remote code execution attack is considerably worse, potentially giving an intruder control over the operating system itself. Anthropic proves AI can turn a Linux bug into a nightmare Perhaps the most frightening part of this story comes from Anthropic's own security research, published October 27. The company revealed that an unreleased internal Claude research model developed a functioning exploit that could remotely execute commands as root on Linux servers running a vulnerable Multipath TCP listener. Root access is essentially the highest level of privilege available on a Linux system. Someone who obtains it can potentially steal data, install malicious software, interfere with running services, or completely compromise the machine. Anthropic explained that the attack works in two stages. First, the exploit defeats a security protection designed to make kernel memory addresses difficult to predict, and then it manipulates the vulnerability to execute an attacker-chosen command with root privileges. In Anthropic's demonstration, the first stage took approximately 48 minutes, while the second required another five minutes. That is 53 minutes of exploit execution, not the time Claude needed to write the exploit, but it illustrates how an attacker could patiently work toward gaining control of a server. Even more troubling, unsuccessful attempts do not necessarily crash the target. This allows an attacker to repeatedly try exploiting the vulnerable connection until the necessary conditions occur. The demonstrated attack required a Multipath TCP listener, so it would be misleading to suggest every unpatched Linux computer can automatically be taken over remotely. However, the underlying flaw exists in ordinary IPv4 TCP processing, and researchers have not ruled out additional methods of exploitation. Ubuntu users are still waiting for protection The good news is that the Linux kernel developers have already addressed the underlying problem. Patches are available upstream, and several distributions have incorporated the correction into their supported kernel packages. Debian 12 and 13 have received fixes, while Red Hat released patched kernels for RHEL 8, 9, and 10 on November 1. Amazon Linux 2 and Amazon Linux 2023 have updates available as well, although individual systems still need to install them and reboot. Ubuntu is a different story. According to Canonical's official vulnerability tracker, Ubuntu 22.04 LTS, 24.04 LTS, 26.04 LTS, and 26.10 are still listed as vulnerable, with fixes under development. That's a particularly uncomfortable position for Ubuntu, considering its popularity in cloud computing, enterprise environments, and web hosting. While Canonical is working on updates, administrators responsible for internet-facing Ubuntu servers cannot simply assume their systems are protected. There is another wrinkle involving applications written in Go. The Go Security Team has warned that Go 1.24 and later enable Multipath TCP by default for listening sockets on Linux where the feature is supported and enabled, potentially increasing exposure to the demonstrated attack. Disabling Multipath TCP can reduce certain risks, but it does not eliminate the underlying kernel vulnerability. The proper solution remains installing a fixed kernel, followed by a reboot to ensure the patched code is actually running. The bigger threat might be artificial intelligence There is an important distinction between a security researcher discovering a vulnerability and an AI system developing an exploit capable of weaponizing it. The latter suggests that sophisticated attacks, once requiring extensive specialist knowledge, could eventually become easier and faster to produce. To be clear, Anthropic conducted this research under controlled conditions using an internal model, and it has not released the Linux exploit publicly. Amazon Web Services also reports that it is unaware of exploitation of this particular vulnerability in the wild, which is reassuring for the moment. Still, the implications extend far beyond Linux. AI systems are becoming increasingly capable of examining complicated software, discovering weaknesses, and combining techniques that overcome multiple security protections. There is an obvious benefit to giving security researchers powerful tools that help them discover vulnerabilities before criminals do. The uncomfortable reality, however, is that attackers could eventually gain access to similar capabilities, potentially making the race between discovering security flaws and fixing them much more dangerous. Linux remains an excellent operating system, and this vulnerability does not somehow make Windows or macOS inherently safer. Every major operating system experiences security problems, but a critical remotely accessible kernel flaw deserves immediate attention regardless of the platform. For Linux administrators, especially those managing publicly accessible Ubuntu servers, the priority should be checking affected kernels, reviewing network exposure, and applying available updates as soon as possible. For everyone else, this incident offers a disturbing glimpse of a future in which AI does not merely help write software, but also helps find ways to take it apart. Support independent tech journalism. NERDS.xyz is independently owned and operated. If you enjoy my coverage of Linux, AI, hardware, cybersecurity, and tech culture, consider supporting the site on Ko-fi. Technology journalist and founder of NERDS.xyz Brian Fagioli is a technology journalist and founder of NERDS.xyz. A former BetaNews writer, he has spent over a decade covering Linux, hardware, software, cybersecurity, and AI with a no nonsense approach for real nerds.

Red Hat
Oct 30th, 2026
Direct VM networking in AWS: Introducing BGP cloud connector on Red Hat OpenShift Service on AWS.

Direct VM networking in AWS: Introducing BGP cloud connector on Red Hat OpenShift Service on AWS. Associate Principal Specialist Solution Architect, Cloud Services When migrating virtual machines (VMs) to the cloud, virtualization engineers hit a familiar wall: how do you route traffic directly to a Red Hat OpenShift Virtualization guest VM using that VM's own IP address? OpenShift Virtualization has long offered a solution to this problem with localnets - as long as the cluster is using an on-premise Layer 2 network. Most cloud providers only expose Layer 3 on their networks, however, forcing OpenShift Virtualization customers in cloud environments to redesign their networking architecture. Without direct IP routing in the cloud, virtualization teams were forced to treat VMs like container workloads, adding NodePort Services and Routes that obscured the VMs' IP addresses. Red Hat, Inc. is introducing a new solution: BGP cloud connector, launching for Red Hat OpenShift Service on AWS (ROSA) on cluster versions 4.22 or later. It allows customers to route traffic between an in-cluster overlay network (a ClusterUserDefinedNetwork, or CUDN) and the virtual private cloud (VPC) in which the cluster resides. Customers can then connect the VPC to their corporate networks using AWS's existing solutions (like Transit Gateway or Direct Connect) to achieve end-to-end connectivity between any of their networks and guest VMs in a Red Hat OpenShift Service on AWS cluster. Expanded workload possibilities. Because guest VMs can retain their native IP addresses externally, common challenges now have straightforward solutions. These include: * Firewalls and access control that rely on a packet's source IP address can now differentiate between each VM. This is because traffic from VMs is no longer passed through Network Address Translation (NAT) on worker nodes' IP addresses. * Active Directory Dynamic DNS can now correctly assign domain names to VM domain clients. This is because the Domain Controller sees the same IP address that clients report from their network interfaces. * Clustered software, such as older versions of Valkey, that is designed around clients seeing the same IP address for server cluster members, can now work correctly. This is because machines inside and outside of your cluster all see the same IP address. Demonstration. To see BGP cloud connector in action, let's look at how an EC2 instance in a VPC communicates directly with a VM running inside Red Hat OpenShift Service on AWS without NAT. Figure 1 illustrates a VM guest within my cluster. It has been assigned the IP address 192.168.5.3 from a CUDN that BGP cloud connector has configured the VPC to route to. Figure 1: The VM guest with IP address 192.168.5.3 I'm running a chatbot on that VM, listening on port 8000. [rhel@sample-vm ~]$ hostname -i 192.168.5.3 [rhel@sample-vm ~]$ socat TCP-LISTEN:8000,reuseaddr,fork EXEC:'/usr/bin/cla -i' # Expose the RHEL command-line assistant chatbot on port 8000 I also have an EC2 instance in the same VPC. I can hit my VM's port 8000 directly on its own IP address from the EC2 instance to interact with that chatbot. [ec2-user@ip-10-0-4-42 ~]$ socat - TCP:192.168.5.3:8000 Welcome to the interactive mode for command-line assistant! To exit, press Ctrl + C or type '.exit'. The current session does not include running context. >>> What is BGP? Be concise. +[+]+ Asking the command-line assistant... BGP (Border Gateway Protocol) is a standardized exterior gateway protocol designed to exchange routing and reachability information among autonomous systems (AS) on the internet. It is commonly used between Internet Service Providers (ISPs) to determine the best paths for traffic across the internet. Always review AI-generated content prior to use. How BGP cloud connector works. The Red Hat OpenShift Service on AWS cluster's worker nodes act as routers for traffic between the VPC and the CUDN that the guest VMs sit on. The cluster uses Border Gateway Protocol (BGP) to advertise routes to Amazon VPC Route Server, which updates them in VPC route tables. BGP cloud connector keeps the set of Route Server peers up-to-date as nodes join and leave the cluster. Each route configures the VPC to send traffic for the CUDN's IP range to one of the cluster's worker nodes. The worker node then forwards the traffic to the worker hosting the VM guest. Since VPC route tables only contain one route per IP prefix, Route Server chooses one route at a time to publish. This means that one worker node at a time acts as the router for all incoming traffic for a particular CUDN. If the active gateway node drops offline, Route Server quickly detects the failure over BGP and updates the VPC route table to point to a healthy worker, keeping your VM traffic flowing. Get started. If your architecture requires direct connectivity to VMs' IP addresses, it's straightforward to get started. Follow its product documentation for a detailed guide on how to set up your VPC, install and configure the operator, and deploy your first directly addressable VM. If you don't have a Red Hat OpenShift Service on AWS cluster yet, follow the Quickstart Guide or the Learning Path on Getting Started. If you'd like to learn more about OpenShift's Virtualization's networking concepts, check out the Red Hat webinar on the topic, "Networking OpenShift Virtualization: What you really need to know." Happy virtualizing! 15 reasons to adopt Red Hat OpenShift Virtualization. Discover how Red Hat OpenShift Virtualization can unify and simplify your IT operations, using 1 platform for both virtual machines and containers. Daniel Axelrod is a Specialist Solution Architect at Red Hat, specializing in Red Hat Managed OpenShift offerings on AWS, Azure, and Google Cloud Platform. He has over a decade of experience as a Platform Engineer, helping thousands of engineers ship great software. In his current role, Daniel helps customers remove organizational and technical blockers to be successful with Managed OpenShift as their application platform. Original podcast

Federal News Network
Oct 29th, 2026
Federal security leaders team up as post-quantum deadlines tighten.

Federal security leaders team up as post-quantum deadlines tighten. An informal CISO group is helping agencies find gaps as the 2030 post-quantum migration deadline nears. October 29, 2026 2:49 pm Agency chief information security officers are working together through an unofficial "CISO working group" to help accelerate the migration to post-quantum cryptography. Bill Newhouse, cybersecurity engineer and project lead at the National Institute of Standards and Technology's National Cybersecurity Center of Excellence, said Wednesday that the June executive order and corresponding Office of Management and Budget memo gave leaders a push to collaborate more. Newhouse added that the White House's guidance allowed for more conversations to help agencies identify what gaps remain in the migration process. "We need to think about what tools do we have in common and how do you leverage those to gain information about cryptographic use and functions so that we can take advantage of what the [content delivery network] program has accomplished and is still trying to accomplish," Newhouse said at Red Hat's Government Symposium. The order requires agencies to transition "high value assets" and "high impact systems" to post-quantum cryptographic keys by Dec. 31, 2030, and PQC digital signatures by the end of 2031. Quantum task force developing guidance. Additionally, a new report from NIST lays out the agency's official approach and timelines for transitioning to quantum-resistant standards in accordance with the executive order. NIST said in the report that the agency will deprecate quantum-vulnerable public-key cryptography after 2030 and disallow its use under NIST standards and guidelines after 2035. The report will serve as the core document that informs what agencies and industry need to do during the migration. Newhouse said at the event that agencies can expect more guidance and resources in the coming months from the Quantum Readiness Task Force - which includes agency and industry partners. While the task force is led by the Treasury Department, Newhouse said the group's work will easily transfer to other critical infrastructure sectors. He added that new white papers from the task force will help agencies ask for more visibility into their networks that are run by third-party providers. "It's going to be a set of very mature thoughts because these organizations [in the task force] have been well funded and they're preparing for all cryptographic, cybersecurity and privacy risk. Everybody is trying to mitigate it, but those organizations have a lot more resources than many," said Newhouse. The Cybersecurity and Infrastructure Security Agency's Acting Associate Director for Vulnerability Management Jay Gazlay urged agencies to re-examine their change control process to account for the shortened migration timeline. Gazlay added that the approach needs to be lighter and faster, while taking into account how the workforce will adjust to the new workflow. "We've been able to abstract away encryption. We can't do that anymore, and now we need to have a forward discussion with each other about what these changes mean from a workforce perspective that we've not been having. It's a good flag as we think about how to operationalize the migration process," Gazlay said. Deadline will be hard to meet. Newhouse said agencies may begin to feel the squeeze of the shortened timeline, especially amid competing priorities and agencies. He added that prioritizing an agency's PQC inventory will help agencies in the long run achieve other modernization efforts and protect them from classical and quantum attacks. "The PIV system will need to be reengineered and there are tests happening now to demonstrate that we can put the PQC algorithms into the certificates on your PIV card. That's a baby step toward what else needs to be done," said Newhouse. As directed by the executive order, agencies need to create an inventory and migration plan as the first steps to getting all high-value assets and systems PQC ready by 2030. The plan would also be a step in migrating to PQC for digital signatures for all high-value assets and systems before the end of 2031 and finishing the complete migration to PQC for all other systems by 2035. Newhouse said agencies still have time to identify what hardware and software they need to reengineer, but cautioned that if they don't formalize real plans and execute them by 2029, the overall deadline may be missed. OMB instructed agencies to use a phased approach to getting high-value assets transitioned. During phase one, between 2026 and 2027, agencies should focus on continuing to inventory cryptographic systems, defining a strategy, spreading "awareness and training" and other steps to "lay the foundation for a phased PQC migration approach." Between 2027 and 2028, under phase two in OMB's memo, agencies should plan to focus on "pilots, executing early migrations of prioritized systems and refining the migration plan based on lessons learned."

Tech in Asia
Oct 23rd, 2026
Red Hat opens Asia Pacific AI hub in Singapore to support national strategy

Red Hat has opened an Asia Pacific artificial intelligence (AI) hub in Singapore. The centre supports Singapore's National AI Strategy, which aims to scale AI deployment in the public and private sectors. Separately, Singapore government cloud systems must meet mandatory security and governance requirements.

e27
Oct 23rd, 2026
Red Hat opens Singapore AI centre to pull enterprises out of pilot purgatory.

Red Hat opens Singapore AI centre to pull enterprises out of pilot purgatory. Backed by EDB and partnering DSTA on defence, Red Hat's new hub promises production-grade AI but discloses no investment figures yet 23 Oct, 2026 Southeast Asia does not have a shortage of AI pilots. It has a shortage of AI pilots that ever leave the lab. A recent regional survey found that 57 per cent of SEA firms can't scale their AI pilots, a stretch of corporate limbo now known in industry jargon as the "frozen middle". Red Hat, the IBM-owned open-source software company, thinks it can help thaw it. The firm on Thursday launched its APAC AI Centre of Excellence (CoE) in Singapore, backed by the Singapore Economic Development Board (EDB). Its first named collaborator is the Defence Science and Technology Agency (DSTA), the body that develops technology for the Singapore Armed Forces. The pitch is simple: help organisations move AI from experimentation to production using Red Hat's open-source stack and engineering staff. The details are harder to pin down. What the centre will actually do. Red Hat says the CoE's engineers will work along two tracks. The first is building reusable software architectures, essentially templates for problems that keep recurring across industries, so that each client is not reinventing the plumbing. The second is contributing code "upstream", meaning into the shared open-source projects that Red Hat's commercial products are built on, rather than keeping fixes locked inside one customer's deployment. The company names system deployment, runtime optimisation and platform management as priority areas. This is familiar Red Hat territory. Over the past two years, the company has pushed hard on open-source inference tooling, betting that enterprises will want to run AI models across their own servers and multiple clouds rather than rent everything from a single hyperscaler. "AI adoption is moving rapidly from experimentation towards execution, and organisations need open platforms and hands-on engineering expertise to make that transition responsibly," said Daniel Aw, Vice President and General Manager of Red Hat Asia Pacific. What Red Hat did not say is just as telling. The announcement carries no investment figure, no headcount, no timeline and no disclosure of what EDB's "support" amounts to in grants or incentives. For a centre pitched as a regional hub, that leaves readers to take its scale on trust. The defence angle. The DSTA tie-up is the most concrete part of the launch, and the most sensitive. The two organisations plan to jointly develop solutions in AI, cloud computing, application modernisation and edge computing, which refers to processing data close to where it is generated rather than in a distant data centre. They will also set up practices for DevSecOps, which builds security checks into software development from the start, and "Day 2 operations", the unglamorous work of keeping systems running, patched and stable after launch. The work will span on-premise and off-premise environments. In defence, that distinction matters: sensitive systems often cannot touch the public cloud at all, which is precisely where an open-source, run-it-anywhere vendor has an edge over hyperscalers. "As threats become more complex, it is important that we continue to push the boundaries of technology and innovation to stay ahead of the curve," said Gayle Chan, Deputy Chief Executive (Information) at DSTA. The language is still exploratory. DSTA is collaborating to "explore and co-develop" solutions it "can then apply" to defence uses. That is a long way from a deployed system. It also raises questions the announcement does not touch: what kinds of defence applications are in scope, and what oversight governs AI built for military use. A bank's chatbot gets public scrutiny when it misbehaves. Defence AI rarely does, which is why clarity on guardrails matters more here, not less. The governance gap is not unique to defence; enterprises across the region still aren't sure who referees their AI agents. Selling talent as much as tech. Red Hat is also framing the CoE as a skills play, a theme that lands well with Singapore's policymakers. The centre includes an innovation team of engineers, architects, project managers and forward-deployed engineers. The last category, popularised by Palantir, describes engineers who embed directly within client organisations rather than advising from afar, an admission that most AI projects fail on messy, company-specific problems rather than model quality. The centre will also run training in software engineering, automation, cloud-native development and DevSecOps for customers and partners. That addresses a real bottleneck. Singapore firms are scrambling for staff who can build and manage autonomous systems, and agentic AI is now the city-state's hottest job skill. Meanwhile, messy data keeps Singapore SMEs' pilots stuck, a problem no platform alone can fix. "The Centre bolsters Singapore's position as a key AI hub creating opportunities for local talent to deepen their engineering capabilities," said Yueh Chinn Seah, Vice President of Digital Industry at EDB. A crowded rescue mission. Red Hat is far from alone in pitching itself as the cure for pilot fatigue. Earlier this month, Singtel's RE:AI partnered the SIT-NVIDIA centre to tackle the enterprise AI deployment gap. Singapore-based OneByZero raised US$20 million in Series A funding for the same mission, while Thinking Machines joined the Temus group in a regional push for production-grade AI. Above them all sit AWS, Microsoft Azure and Google Cloud, each with deep pockets, regional data centres and its own enterprise AI programmes. Open-source rivals such as SUSE and Canonical compete for the same hybrid-cloud budgets. Red Hat's differentiator is portability. Its argument is that enterprises and governments should not have to hand their AI future to a single cloud provider. That message resonates with the region's growing anxiety that Southeast Asia cannot build sovereign AI on borrowed choices. It is worth noting, though, that "open" and "independent" are not the same thing: Red Hat is ultimately a US company owned by IBM. The real test. Centres of excellence are easy to open and hard to judge. The proof will not be the ribbon-cutting but the case studies: how many regional clients move workloads into production, how much code the Singapore team ships upstream, and whether the DSTA work produces anything beyond press releases. Until Red Hat puts numbers on the table, the CoE is a promising signal rather than a solved problem. For a region stuck in the frozen middle, even a signal counts, but enterprises would be wise to ask for receipts. Editor, e27

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