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Can NB help in detecting unauthorized network gear ?Such as devices used in a home environment such as NetGear, Linksys, Belkin, etc..These devices could be switches/hubs/AP’s.

Hi NetBrain Team,While we embrace the agentic AI capability brought by NetBrain, I am wondering if NetBrain complies to any AI standards such as ISO 42001 and ISO 42005 as below:ISO/IEC 42001 - The world’s first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning. For organizations, it sets out a structured way to manage risks and opportunities associated with AI, balancing innovation with governance.ISO/IEC 42005 - AI technologies are rapidly reshaping industries, economies and daily life — offering immense benefits, but also raising ethical, social and environmental concerns. ISO/IEC 42005 plays a crucial role in ensuring these impacts are responsibly addressed. By guiding organisations through structured impact assessments, it enables them to align AI development with values such as fairness, safety, and human-centre

Static network diagrams can only tell you so much. They may show how the network was designed, but they rarely reflect what is actually happening right now. For NOC engineers and network teams, that gap can lead to slower troubleshooting, missed issues, and too much manual investigation.In this hands-on NetBrain Essentials lab from our partner WWT, you’ll see how NetBrain helps teams move beyond outdated diagrams and operate with live network intelligence. The workshop walks through dynamic topology mapping, network discovery, intent-based automation, automated diagnostics, and scheduled compliance checks.You’ll learn how NetBrain can help discover devices, validate standards, troubleshoot incidents, and reduce manual work using repeatable workflows built on real network data. The lab also covers Quick Intent, scheduled dashboards, rule checks, and map-driven workflows that can help teams respond faster when issues happen.Whether you’re a NOC engineer, network administrator, or infrast

Hi Support Team,As most of our customers is running in mission critical environment, sometime with air-gapped network, so using public AI LLM like OpenAI or ChatGPT etc. will be a challenge. I understand that NetBrain can also integrate with local deployed AI inferencing servers, however an enterprise grade inferencing server also costs very high.One possible option is to use AI API proxy servers like LiteLLM Proxy or Apache APISIX or Kong AI Gateway etc., the dual home proxy server could be located in restricted DMZ zone which has limited internet connection to Open AI platforms, while NetBrain can point the AI proxy to the API server.I am wondering if NetBrain has any similar deployment cases in your customer’s environment. It will be appreciated if you could provide some references or ideas for this type of deployment. Best Regards,Andong  

For network operations, that context needs to include live topology, device state, configurations, forwarding paths, Network Intents, diagnostics, and signals from the systems around the network.That is where NetBrain’s MCP Integration comes in.With support for Model Context Protocol, NetBrain connects its live network intelligence with the enterprise AI ecosystem your organization already uses. Instead of leaving AI tools to work from disconnected tickets, static diagrams, or incomplete documentation, MCP gives them access to real network context from NetBrain.NetBrain as an MCP ServerNetBrain can expose real-time network intelligence to external AI tools and custom LLMs that support MCP. This includes topology, device state, configurations, Golden Configs, detected drift, Network Intents, live forwarding paths, diagnostic context, and operational data.This allows external AI tools to reason with current network context instead of guessing from outdated or incomplete information.NetBr