Emerging Technologies Focus: AI
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Auditing behavioral compliance: validating AI agent capabilities with AgentTrust
In multi-agent systems, agents delegate work based on capability declarations. When agents chain autonomously, each routing decision relies entirely on what the target agent claims about itself. But what happens if those declarations are inaccurate? An agent can...
Who really built that? Supply-chain provenance for AI agent identity
When an AI agent introduces itself to another agent, it hands over a digital identity document called an agent card. Our previous post, "Who's really calling? Securing agent-to-agent communication," discussed whether that card is authentic at runtime. This post...
Building skills for AI agents: pitfalls and best practices for skill development
As AI workflows and agents become more capable, the skills they rely on matter more than ever. Most teams start building AI agent skills organically—a script here, a prompt there—and that's a natural way to get going. But as the number of skills grows, so do the...
Get a personal AI assistant on Red Hat Developer Sandbox with OpenClaw
OpenClaw is now available on Red Hat Developer Sandbox. One click, one API key, and you get a personal AI assistant running in your own Red Hat OpenShift project. The AI agent never sees your credentials and can’t escape its network sandbox. OpenClaw on Developer...
MLOps at the edge: deploying AI models from cloud to GPU-powered edge devices with FlightCtl
Successfully getting an AI model up and running in a closed lab environment is one thing. Trying to get that same model to run reliably on remote edge devices is a whole other problem entirely. Any MLOps workflow follows the same cycle: develop a model, package it,...