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NemoClaw Security Checklist: Lock Down AI Agents Before They Go Live

NemoClaw security checklist for AI agent deployment

Written by

Tye: CISSP Professional

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Quick Answer: Before trusting AI agents on your network, verify eight things: host hygiene, sandbox boundaries, inference routing, agent permissions, logging, kill switches, environment scoping, and human oversight. This checklist covers all eight. Print it and check the boxes.

Last updated: March 17, 2026

This checklist is the companion to our OpenClaw + NemoClaw + Nemotron: Local Setup Guide. Use it after installation and before you let agents touch anything important.

For background on what NemoClaw is and why it exists, read NVIDIA NemoClaw: The Security Layer That Makes AI Agents Enterprise-Ready.

Who this is for

NemoClaw eight security protection layers for AI agents
Eight security layers to verify before trusting AI agents on your network.

Teams running OpenClaw + NemoClaw on a dev or lab machine who want a quick “did we lock the basics down?” review before letting agents touch anything important.

1. Host and OS hygiene

  • NemoClaw / OpenShell are running on Ubuntu 22.04+, fully patched.
  • Only trusted users have shell access to the host.
  • SSH uses key-based auth (no password logins, no default users).
  • Firewall restricts inbound traffic to the ports you actually need (SSH, model server, etc.).

2. Sandbox boundaries (OpenShell)

  • Each agent runs in its own sandbox (no sharing between unrelated agents).
  • Filesystem access is limited to explicit paths (e.g. /sandbox, /tmp, one logs dir).
  • Sandboxes cannot read your home directory, /etc, or application secrets.
  • Network policies list only the domains/IPs agents must reach (APIs, model endpoints).
  • You have tested a forbidden destination and confirmed it is blocked.

Verification test: Try to curl a domain that is not on the allow-list from inside the sandbox. The request should fail.

3. Inference routing and data privacy

  • You have decided which workloads use local models vs cloud models.
  • Any task involving PII, financial data, or internal IP uses a local Nemotron (or other local backend).
  • Cloud providers are only used for low-risk tasks (summaries, brainstorming, generic code).
  • You have verified that the default inference profile matches this policy.

Verification test: Run a prompt that clearly contains fake PII and confirm, via logs, whether it hit a local or remote model.

4. Agent permissions and tools

  • Each agent has a minimal tool set (only the commands/APIs it truly needs).
  • “Read-only” agents cannot execute write-actions (no shell writes, no DB mutating calls).
  • Any agent that can change systems (e.g., create tickets, restart services) requires an explicit human approval step.
  • There is no generic “run arbitrary shell” tool exposed to agents in shared environments.

If you have a “super-agent” with many tools, treat it as experimental only and keep it off production systems.

5. Logging, audit, and alerting

  • NemoClaw / OpenShell logs are being persisted (not just streamed in a terminal).
  • You can answer: “Which files and hosts did this agent touch in the last 24 hours?”
  • There is a simple way to tail logs during experiments (for quick incident triage).
  • Suspicious actions (blocked network calls, denied file writes) are easy to find in logs.

Optional but recommended: forward logs into your existing SIEM or log stack so security can monitor agent behavior alongside everything else.

6. Kill switch and rollback

  • You know the exact command to stop a misbehaving agent sandbox.
  • You know how to disable a tool or policy without fully uninstalling NemoClaw.
  • You have backups or version control for any config files agents might touch.
  • There is a documented “if the agent goes wild, do this first” playbook.

Example: nemoclaw <agent> stop, then revoke any API keys or tokens the agent had access to.

7. Scope: dev, staging, prod

  • Agents are currently restricted to dev / lab environments only.
  • Any move toward staging/prod will require:
    • Separate NemoClaw/OpenShell deployment
    • Separate credentials and model backends
    • Sign-off from security / platform owners

8. Human loop

  • At least one human “owner” is responsible for each agent (not “everyone / no one”).
  • You have agreed internally on what agents are allowed to decide on their own vs what always requires human review.
  • You have done at least one “red-team” session letting someone try to misuse the agent and watching what happens.

The minimum safe baseline

If you only do three things before experimenting:

  1. Run agents inside NemoClaw/OpenShell sandboxes only (no bare-metal OpenClaw).
  2. Lock down inference routing so anything sensitive uses local models.
  3. Limit tools to the smallest set possible and log everything they do.

This alone will put you ahead of how most teams are running agents today.

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Written by
Tye CISSP Certified

Tye is a CISSP-certified cybersecurity analyst with over 25 years in IT and 15 years specializing in network defense and threat intelligence. He built PacketMoat to bring enterprise-grade security knowledge to everyday people and small businesses.

About Tye 43 Articles

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