

Free Lesson
Secure Autonomous Agents with NVIDIA NeMo Claw
Part of Global AI Builder Series: by The Gen Academy
60 min
Sep 3, 2026 11:00 AM
By continuing, you agree to Maven's Terms and Privacy Policy.
What you'll learn
Understand agent harnesses
Learn why autonomous agents are more than a model: context, tools, memory, orchestration, and security.
Add secure sandboxes
See how NeMo Claw and OpenShell restrict file, network, tool, and API access for safer agents.
Observe and unify pipelines
Use NeMo Relay and Agent Toolkit to add tracing, evals, routing, and framework interoperability.
Launch with Nemotron models
Try NVIDIA build APIs, Brev launchables, and Nemotron models for agent experiments and demos.
Why this topic matters
Autonomous agents are useful because they can take actions, call tools, and run long workflows, but that same power creates enterprise risk. Jay's session shows builders how to keep model and harness choice while adding sandboxing, guardrails, observability, evaluation, and deployment paths so agents can move from demos to controlled production systems.






