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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and operational data.This allows external AI tools to reason with current network context instead of guessing from outdated or incomplete information.NetBr

Agentic NetOps is creating a lot of momentum, but the real question for network teams is how to turn that vision into operational reality.Our latest blog breaks down what it takes to make AI agents trustworthy in real network environments, especially across multivendor networks, complex tool stacks, and teams managing constant change.A few key themes covered:Why trusted network context is critical for AI agents How topology, path, intent, and automation work together Where Agentic NetOps can support diagnosis, remediation, change validation, and compliance Why every organization’s path will look differentThe big takeaway: getting started matters. Agentic NetOps is not just about moving faster — it is about moving with the right context, control, and confidence.Read the full blog here: https://www.netbrain.com/blog/agentic-netops-the-real-work-ahead/

Some of the hardest compliance gaps are not caused by missing policies, but by outdated, incomplete, or after-the-fact evidence. For financial IT teams, that creates risk across resilience testing, third-party ICT oversight, and incident documentation, all of which depend on records that reflect the live network, not last quarter’s snapshot.These gaps often show up in three areas:Resilience TestingTesting needs to be designed against the actual production environment. Static diagrams and manual topology snapshots can quickly become stale when changes happen across the network.Third-Party ICT RiskCloud circuits, ISPs, and colocation environments all support critical services. They need continuous visibility, not periodic checks or disconnected vendor documentation.Incident EvidenceIncident timelines, diagnostic actions, and root-cause details should be captured as the response unfolds. Evidence rebuilt after the incident rarely tells the full story.NetBrain shows how automation supports

Energy teams are being asked to support more complexity with faster response times, stronger compliance, and fewer blind spots.CenterPoint Energy’s story shows how network automation can help teams simplify operations, improve visibility, and bring more consistency into troubleshooting and day-to-day network management.Instead of relying only on manual investigation, teams can use NetBrain to capture network knowledge, automate repeatable workflows, and give engineers a clearer view of what is happening across the environment.For teams supporting critical infrastructure, that consistency matters — especially during incidents, changes, and high-pressure operational moments.Question for the community:What part of network operations would your team benefit from automating first: diagnostics, documentation, change checks, or incident response?

Regulatory resilience is not handled by one control, one report, or one team. For financial IT and network operations, it requires ongoing monitoring, testing, documentation, and evidence that is ready for review.DORA’s five ICT resilience pillars create ongoing operational requirements across ICT risk management, incident reporting, resilience testing, third-party oversight, and information sharing.NetBrain helps teams turn these requirements into repeatable workflows that support continuous visibility, current evidence, and audit-ready documentation.Here’s how NetBrain supports each area:ICT Risk ManagementNetBrain auto-discovers ICT assets across hybrid environments and continuously validates configurations against your intended design.ICT Incident ReportingDeep Diagnosis captures diagnostic actions in real time, with timestamped evidence that can be connected to your ITSM workflow.Digital Operational Resilience TestingScheduled and on-demand assessments help teams test resilience a

Managing CVEs across a complex network is not exactly anyone’s idea of a relaxing afternoon. Between configuration reviews, security requirements, best practices, and multi-vendor environments, it can be difficult to know what is actually exposed and what needs attention first. 🔍In this customer story, a Principal Architect and Consulting Engineer share how NetBrain helps teams support CVE management through configuration analysis, security intents, and compliance validation.With NetBrain, teams can use built-in network intents, security checks, and a rich library of common vulnerabilities to analyze configurations and identify risks that may be difficult to catch manually. NetBrain can parse device configurations, compare them against best practices, and help teams uncover potential issues before they become bigger problems.They also highlight NetBrain’s ability to support multi-vendor environments, including platforms like Juniper and Palo Alto, making it easier to apply consistent

Most network teams rely on a mix of monitoring, ITSM, IPAM, CMDB, and other tools to keep operations running. The challenge is that those tools often work in silos, leaving engineers to jump between systems just to understand what happened, where it happened, and what to do next.This article breaks down how to close that gap by connecting tools, unifying network data, and orchestrating diagnostics and resolution workflows across the toolchain.From Splunk, ServiceNow, Infoblox, Netbox, Datadog, ThousandEyes, Jira, and custom API integrations, NetBrain helps turn disconnected alerts and data into coordinated network automation.Less tool-hopping. More context. Faster action.Read the article: https://www.netbrain.com/blog/get-network-tools-to-work-together/

One of the biggest opportunities in network automation is connecting the intelligence from the tools your team already uses, then bringing that data into one place where it can be analyzed, correlated, and acted on faster.As David Mann, NetBrain’s Global VP of Services, explains, NetBrain can serve as the layer between your ITSM platform, like ServiceNow, and your NMS or other network management tools. That means information from multiple systems can flow into NetBrain, where it can be mapped, analyzed, and used to support faster root cause identification.With intent-based automation, triggered workflows, AI-driven analysis, and API integrations across different vendors, teams can correlate real-time data from multiple sources and drive quicker resolution. NetBrain can also support automated ticket generation, helping teams move from insight to action faster.  👉 Explore essential integrations for your network automation toolchain: https://www.netbrain.com/platform/network-automation-i

DORA is raising the bar for financial IT teams. It is no longer enough to have policies in place. Teams need to prove operational resilience with current, accurate, and exportable network evidence.For financial services organizations, that means evidence needs to reflect the live network, not a snapshot from the last audit cycle. This can get tricky when configuration drift happens between reviews, incident records are pulled together after the fact, or hybrid and third-party environments create visibility gaps.According to Deloitte’s European DORA survey, only 25% of surveyed financial entities feel compliant with ICT risk management. For many teams, the bigger challenge is not the policy itself. It is whether live operational evidence matches the documented control environment.NetBrain helps financial IT teams stay better prepared by providing continuous network visibility and evidence capture across ICT risk, incidents, resilience testing, and third-party oversight.Read the DORA ove

NetBrain 12.3 introduces AI Runbook Companion — built to eliminate one of the most frustrating parts of troubleshooting: figuring out what the data actually means and what to do next.Instead of digging through CLI outputs and piecing things together manually, Runbook Companion works inside your runbooks to summarize results, highlight issues, and recommend next steps in real time.Why It Matters Cuts analysis time with clear, AI-generated summaries Recommends next actions based on best-practice automations Keeps engineers in control while removing the busywork Helps junior engineers move faster with guided workflows From Data to ActionAsk questions in plain English like: “Summarize the alerts in this runbook” “What changed on these devices in the last 2 hours?” “Why is voice quality poor between these endpoints?” And get clear answers — right inside the workflow.What Makes It Different Context-aware → understands your runbook data and environment Action-oriented → tells you

Network operations rarely live in a single tool. Real networks behave more like ecosystems than neat little silos. Hardware teams track racks and power, network teams chase packets, and operations teams want dashboards that tell the truth without requiring a PhD in routing tables.That’s the reality NetBrain is built for.At NetBrain LIVE 2025, one of our engineers showed how NetBrain integrates with NetBox and Grafana—not to replace them, but to connect them. The demo showed how NetBrain can pull physical infrastructure data from NetBox, enrich it with real-time network intelligence, and expose that combined view through Grafana dashboards.The architecture is simple but powerful:NetBox manages physical infrastructure data like rack position, airflow, and power.NetBrain acts as the operational source of truth by collecting live network data and validating behavior.Grafana becomes the visualization layer where teams across the organization can see trusted dashboards without needing direct

Modern networks support cloud, remote users, security controls, and critical apps — all at once. Managing that device by device? That’s where drift, outages, and risk creep in.Intent-Based Networking (IBN) changes the model.Instead of configuring individual devices, teams define what the network should achieve — performance goals, security rules, compliance standards. The system translates that intent into policies, automates deployment, and continuously verifies that the network behaves as expected.It’s not just automation. It’s automation with validation.Why It MattersIBN helps teams: Move faster without increasing risk Reduce downtime through continuous verification Enforce security consistently Improve application performance As networks grow more complex, manual operations don’t scale. Intent-based networking provides a closed-loop approach that keeps business goals and network behavior aligned.Full blog here:https://www.netbraintech.com/blog/what-is-intent-based-networking/

Most environments rely on a stack of monitoring tools, ticketing systems, and security platforms. When these systems work together with NetBrain, workflows become significantly faster and smoother.This week, we want to hear which integrations have helped you the most—ServiceNow, monitoring platforms, SIEM tools, cloud systems, or custom API triggers. These examples help other members connect the dots and spark ideas for streamlining their own workflows.If you want to explore integration paths, here’s the best place to start:Platform Integrations: https://www.netbrain.com/platform/Share the integration(s) that made the biggest operational impact for you.All participants will receive the Exchange Badge for contributing to this QOTW.