Counting vulnerabilities isn't enough. A single reusable open source fix can save up to 5.7 million engineering hours—representing $712.5 million in duplicated effort across the industry. Read the new Open Source Security Signals report: red.ht/4jWXN80.

Join our global webinar on Nov. 12, 2026 to explore the new security realities of AI, software supply chains, and machine-speed vulnerability discovery–and what you can do next. Register for the virtual event: red.ht/4rA00bn

Submissions are open for the 2027 Red Hat Certified Professional of the Year award! Each year, we recognize a standout Red Hat Certified Professional who has gone above and beyond in applying their skills, driving innovation, and making an impact in their organization and community. If you or someone you know is making a difference with Red Hat skills, we want to hear your story. 🗓 Submissions close Oct 31. 📖 Read the blog and submit your story today: red.ht/4hSaSNA

Vulnerabilities are easy to count. Meaningful risk is harder to measure. A single reusable fix in a common Java component like JAXB can prevent 5.7M hours of duplicated remediation work, saving up to $712M in modeled engineering effort. Read the full Open Source Security Signals report: red.ht/4jWXN80

Maximize ROI with Red Hat AI: Balancing Open-Weight & Frontier Models" Discover how to optimize tokenomics in AI by balancing self-hosted open-weight models with strategic frontier API calls. Learn more in our latest blog post: red.ht/4dEYmQ7

Enterprise #AI support requires verified expertise, not unverified hallucinations. Discover how Ask Red Hat uses Granite models, decoupled skill routing, and grounded citations to accelerate troubleshooting and earn user trust. Read the more: red.ht/4yYtfHC

How are open source tools protecting enterprise environments and scaling AI? From agentic AI security with @NVIDIA to CDEs at Delta Air Lines, check out this week’s Friday Five: red.ht/4BmqXns

Join our global webinar on Nov. 12, 2026 to explore the new security realities of #AI, software supply chains, and machine-speed vulnerability discovery–and what you can do next. Register for the virtual event: red.ht/4rA00bn

Which companies in the U.S. Fortune 500 rely on Red Hat? More than 90%. Discover how Red Hat helps enterprise leaders navigate their most complex technology challenges: red.ht/4i4eZWO

When Delta Air Lines scaled AI tools to 1,200 developers, local laptops hit a wall. Discover how the team used Red Hat OpenShift Dev Spaces to run cloud development environments and keep AI agents running: red.ht/4itVc4j

Red Hat AI Factory with @NVIDIA is helping enterprises scale autonomous agents with trusted security and control. The latest innovations span agent safety with the OpenShell Reference Architecture, optimized support for the latest open models, and Day 0 enablement for NVIDIA Vera Rubin. Learn more: red.ht/4z3zmuy #NVIDIAGTC

Red Hat researchers, in collaboration with Purdue, developed VEX-Bench—a benchmark for assessing large language models (LLMs) in software supply chain vulnerability triage. Traditional tools often generate up to 70% false alerts. Discover the findings: red.ht/4debJqd #EMNLP2026

How is gen AI changing open source development? New Linux Foundation research sponsored by Red Hat shows 61% of contributors conduct detailed code reviews of AI-generated code, while 80% emphasize model provenance. Explore the data: red.ht/4i8qRqG

Single-server performance was step one. Managing AI serving at cluster scale is the real test. @RedHat_AI CTO Brian Stevens shares why the release of llm-d 1.0 marks the shift from experimental AI serving to dependable infrastructure built for Day 2 operations. 📖 Read the full blog: red.ht/4i7WGjv #PyTorchCon

Scale distributed inference and control AI serving costs with confidence. llm-d 1.0 brings multi-tenant quality of service, zero-downtime rolling updates, and prefix-cache-aware routing to your production workloads. Explore the release: red.ht/4ysmUU5 #PyTorchCon