Explore the concept of agent harness in AI, its components, and its role in software supply chain security. Learn about the layers of an agent, from infrastructure to model, and how each layer contributes to the overall functionality.
Learn about Red Hat's approach to keyboard testing for web accessibility, a method that ensures an inclusive experience for users with diverse abilities. Watch the Axe-con 2026 recording to see a live demonstration.
Learn about the 3 modes of agent sandboxing and how Red Hat AI with OpenShell enhances security for AI agents on Red Hat AI. Discover how we validated secure sandboxed execution across various agent frameworks, APIs, and platforms.
Learn how Sealed Images for Red Hat Enterprise Linux extends container workflows to the operating system (OS) itself, providing a versioned, reproducible artifact that moves through the same pipeline as your applications. Strengthen OS integrity with ...
Learn how Anthropic's self-hosted sandboxes for Claude Managed Agents allow you to outsource the reasoning while keeping the code execution on your infrastructure. Discover the benefits of OpenShell, an open source sandbox runtime for AI agents, ...
Discover the latest updates in Red Hat Enterprise Linux 10.2 and 9.8, evolving the operating system (OS) from a foundation to a high-performance engine for critical applications, security, and innovation. Learn about enhanced AI assistance, ...
Learn how Red Hat's AI safety strategy delivers a comprehensive safety stack, making adversarial testing for large language models (LLMs) accessible, scalable, and continuous. Discover the components of the safety stack and how it helps organizations ...
Explore the latest milestones in the collaboration between Red Hat and AWS, including AI development, inference optimization, open source infrastructure innovation, and expanded Red Hat software availability on AWS Marketplace. Learn about the ...
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