NemoClaw の現場
リアルな導入、リアルなセキュリティ、リアルな成果。
注目の事例
NemoClaw is running our 24/7 security operations center autonomously. We deployed AI agents that: - Triage incoming alerts from Splunk and CrowdStrike - Correlate events across our entire infrastructure - Draft incident response playbooks in real-time - Escalate genuine threats to on-call engineers with full context The default-deny networking means our SOC agents can query internal systems but cannot make outbound calls to unknown endpoints. Every network request goes through the Privacy Router for inspection. Results: Mean time to detect dropped from 4 hours to 8 minutes. False positive noise reduced by 91%. Our analysts now focus on actual threats instead of drowning in alerts. This is the future of security operations.
Deployed NemoClaw to secure our customer support AI agents handling 50,000 tickets/day. The Privacy Router automatically redacts credit card numbers, SSNs, and health information before any data reaches the LLM. Our agents resolve tickets faster than ever while maintaining full PCI-DSS and HIPAA compliance. Key results after 90 days: - 73% reduction in average resolution time - Zero PII leakage incidents (down from 12/quarter) - Customer satisfaction up 18 points - Passed external security audit with zero findings The OpenShell sandbox means each support agent runs in complete isolation. Even if a prompt injection attempt succeeds, the blast radius is zero.
Our sales team now has AI agents that research prospects, draft personalized outreach, and update the CRM — all running through NemoClaw. The magic is the Privacy Router. Prospect data from our CRM stays local via Nemotron inference. When the agent needs to search the web or use external tools, the Privacy Router strips any identifying information first. Setup was straightforward: - NemoClaw Helm chart deployed to our existing K8s cluster - Connected Salesforce via the pre-built blueprint - Policy engine configured to prevent agents from accessing financial forecasts - Audit trail logs every CRM modification for compliance Our reps close 30% more deals because they spend zero time on research and admin.
Every developer on our team now has a NemoClaw-secured coding agent. The agents handle code review, test generation, dependency updates, and documentation — all running in isolated OpenShell sandboxes. Each agent can only access its assigned repository and approved package registries. What impressed our security team: - Agents cannot exfiltrate code through network calls (default-deny) - All generated code is scanned before PR creation - Nemotron handles sensitive code analysis locally - Complete audit trail of every file read/write We ship 40% more features per sprint with zero security incidents. The agents work overnight on tech debt while we sleep.
Built our entire infrastructure management plane on NemoClaw. AI agents monitor 2,000+ servers across 3 cloud providers. They detect anomalies, auto-scale resources, and remediate common issues — all within NemoClaw's security perimeter. Architecture: - OpenShell sandboxes for each infrastructure zone (prod, staging, dev) - Policy engine enforces least-privilege: staging agents cannot touch production - Privacy Router redacts credentials in all LLM interactions - Nemotron runs locally for latency-critical decisions (auto-scaling) Last month an agent detected a memory leak pattern across our microservices at 3 AM, identified the root cause, deployed a fix to staging, ran tests, and created a PR — all before anyone woke up. Infrastructure as conversation is real now.
We handle 200,000 patient inquiries monthly through NemoClaw-secured AI agents. Healthcare data is the most sensitive category. NemoClaw's Privacy Router ensures no PHI ever leaves our infrastructure. The Nemotron model runs on our on-premises NVIDIA DGX cluster, and the OpenShell sandbox prevents any data exfiltration. Our agents: - Answer insurance eligibility questions - Schedule appointments with context from patient history - Route urgent medical concerns to human clinicians - Generate visit summaries for patients in plain language Passed HIPAA audit with flying colors. The auditors said our AI agent security posture was the strongest they had ever reviewed. Patient satisfaction scores increased 22% while we reduced call center staffing costs by 40%.
Replaced our manual vulnerability management process with NemoClaw agents. Every day, our agents: - Scan all repositories for new CVEs in dependencies - Analyze exploitability in our specific context - Generate patches and test them in sandboxed environments - Create prioritized remediation tickets with business impact scores The OpenShell sandbox is critical here — we literally let AI agents attempt to exploit our own vulnerabilities in isolated environments to validate severity. Default-deny networking prevents any accidental exposure during testing. The audit trail gives us a complete chain of custody for every finding. Time to remediate critical vulns went from 14 days to 6 hours.
Running NemoClaw as our internal AI platform serving 500+ developers. Each team gets their own NemoClaw namespace with isolated agents, custom policies, and dedicated Nemotron inference endpoints. The Privacy Router is configured per-team so marketing agents have different data governance rules than engineering agents. The self-service model works beautifully: - Teams deploy agents through a simple YAML config - Blueprints provide pre-configured security policies per use case - Central dashboard shows all agent activity across the org - Cost attribution per team with GPU utilization metrics Went from "AI is too risky" to "every team has secure AI agents" in 3 months.
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