AI agents are no longer passive assistants. They write code, call APIs, install packages, and interact with production systems. This shift from passive to active changes not only the usefulness of agents, but also the security question around their activities entirely.When an agent can only generate text, the worst outcome is a bad answer. When an agent can execute code, the worst outcome is a deleted production database. That happened last month. 9 seconds, no rollback,no recovery.The question every enterprise team hits sooner or later: how do you safely allow AI agents to execute code and in
True innovation is never a solo act; it is the result of diverse experts coming together to solve the impossible. While the 2026 Red Hat Ecosystem Innovation Award winners represent the pinnacle of open source success, the sheer volume of transformative work across our global network deserves broader recognition.The following regional honorable mentions represent partners who have acted as force multipliers for our customers. By leveraging the Red Hat portfolio, these organizations have turned complex technical challenges into measurable business value, from securing sovereign AI to automating
In the last few years, large language models (LLMs) have moved from research labs to production systems powering critical business functions. This rapid adoption poses a fundamental challenge for enterprises: How do you deploy AI with confidence when models can behave unpredictably under adversarial conditions? The question keeping IT leaders awake isn't if their AI will fail—it's when, and what will the consequences be?As we've already discovered, traditional software testing approaches fall short when applied to AI. Models don't just have bugs that can be discovered and quickly patched, th
The promise of enterprise AI agents is straightforward: Let the model think, Let the code run, and keep everything under your control.Until now, this promise was hard to deliver. If you wanted Claude to write and execute code for your team, you had 2 options: Run everything on the cloud and accept that your data, your code, and your execution environment live outside your perimeter. Build the entire orchestration stack yourself and lose the intelligence that makes managed agents valuable.Anthropic's self-hosted sandboxes for Claude Managed Agents change that equation. Effectively, this capabil
A year after SUSE decided to remove its Deepin desktop packages over ongoing security concerns, Fedora Linux is now also removing their Deepin packages over similar concerns and lack of activity in maintaining the packages...
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