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Agent infrastructure: identity, verification, and orchestration

Build real agentic apps using CUGA: two dozen working examples on a lightweight harness. IBM releases an open-source CUGA harness with two-dozen single-file example apps that remove agent plumbing so developers can focus on tools and prompts. Outcome engineers get a lightweight, reproducible way to prototype agentic workflows and ship artifacts faster — a practical harness for building agent islands and iterating on execution.

NVIDIA Brings Trusted, 24/7 AI Agents to Telecom Operations. NVIDIA combines synthetic data, telecom models, NemoClaw and OpenShell to enable secure, long‑running autonomous agents for resilient network operations. This is a concrete playbook for running mission-critical agents: secure runtimes, anonymization, and orchestration patterns you can adapt for enterprise-grade continuous agents.

Exabeam launches Praxen, an open-source tool to verify AI agent behavior. Exabeam open-sources Praxen to run pre-deployment agent behavior verification and catch unsafe or unintended actions before deployment. Outcome engineers can adopt Praxen as a pre-production gate to automate safety tests and embed behavioral checks into CI/CD pipelines.

Linux Foundation extends DNS to AI agents with new Agent Name Service. The Agent Name Service gives AI agents verifiable identities and permission records via DNS-style entries. For outcome engineering, verifiable agent identity is foundational — it enables secure chaining of actions, auditable permissions, and clearer gates for cross-system execution.

The Missing Layer in Enterprise Agentic AI. The piece argues enterprises need a separate orchestration layer that enforces where and how agent actions execute under organizational policies. Outcome engineers should treat orchestration as a distinct control plane for enforcement, audit, and coordination — the place to encode execution policies, telemetry, and inter-agent contracts.