Fusion of AI and Automation for NetOps

By integrating automation and AI into your NetOps workflows, you can seamlessly ‘Shift Left’ operations to enhance efficiency and responsiveness. Streamlining your operations allows your team to focus on higher-level strategic initiatives.

01

Agentic AI Combining Speed and Intelligence

NetBrain’s Agentic AI acts as an autonomous digital network engineer, using intent-based automation to diagnose issues, execute fixes, and document workflows—all through natural language commands. It continuously learns from network data and human expertise to accelerate troubleshooting and enforce security policies across hybrid environments—so you get answers, not just data.

Powered by Intent-driven AI, the Next-Gen platform combines three expert agents that work together like a team of PhDs to deliver smarter, faster, and more accurate results.

The Reader

Absorbs your knowledge (docs, guidelines, best practices) to act like a trained expert.

The Orchestrator

Deciphers intent from millions of data points to trigger the right automation.

The Summarizer

Cuts through noise, delivering only the insights that matter.

Not all tasks need the same intelligence. NetBrain’s AI adapts to you—serving as a tool, an assistant, or an expert when you need it.

  • Tool: Like a ruler or scissors, so you can work faster on simple, repetitive tasks.
  • Assistant: Your collaborative co-pilot that listens, learns, and enhances your work—without replacing human judgment.
  • Expert: Smarter than humans, leveraging millions of learned intents to solve complex problems and deliver breakthrough insights.

02

Elevate Network Operations with AI Assistants

1. AI Insights: Your Proactive Network Analyst

  • Allows you to ask questions and solves problems happing in your network
  • allows you to discover root causes and check reachability with Co-Pilot (example: Ping L2 neighbor, detect policy change, recommends rollback of ACL rule)
  • delivers insight (example: “Checkout traffic is being intermittently blocked by updated ACL on PA-FW01. Rule added yesterday at 11:23 AM blocks port 443 under certain conditions.”)
  • powered by a large automation pool from default insight database

Use Cases for AI Insight

  • Diagnose why R1 interface e0/1 is down or determine why host 10.10.234.1 is unreachable.
  • Investigate why R10 BGP neighbor 20.20.20.1 is down or identify the cause of Application XYZ running slow.
  • Verify multicast configurations by checking multicasting 239.0.0.1 or assess the health of site BCD.
  • Ensure compliance by asking, “Is R10 NIST-compliant?” or review recent changes with, “Does R10 have any config changes last week?”
  • Validate configurations by checking configuration rules for R10 or assess security risks with, “Does any device in the map have a CVE vulnerability?”

2. AI Co-Pilot: Your Action-Oriented Assistant

  • Allows you to query network data and get answers about your network
  • Executes Commands Based on Requests
    (examples: Draw a Path, run an intent, create dashboard)
  • Delivers action (example: Rollback ACL rule)
  • Powered by a small manually created pool of automation

Use Cases for AI Co-Pilot

  • Inventory & Data Lookup
    IP Lookup
    DNS Lookup ( translate a DNS name to an IP)
    Neighbor Lookup (L2, L3, IPv6)
    Digital Twin Database Lookup
    Automation Data Table Lookup
  • Troubleshooting
    Issue CLI Command and analyze results
    Execute Network Intent for scheduled or immediate action
    Run steps to troubleshoot BGP on a core router
    Check the uptime of all devices and draw on mapped devices
    Check all devices on map for logs with the word “error” and summarize results
    Check Config Drift by Device on devices on the map and summarize results in a table form by device and result
  • Security
    Investigate for software vulnerabilities in my network, map the devices, and list the software versions
    Assess the Network Observability for CVE Security on mapped devices
    For CVE Security Output = NI results on mapped devices and observability dashboard
  • Change
    Pre-change: Run show IP route summary on mapped devices
    Save output (exclude Replicates/Overhead/Memory/NHRP/internal) for post-change comparison.
  • Assess
    Issue “show version” command on mapped devices, find uptime, version, reboot reason
    Draw result output on a map
    Print results in a tabular format
    Highlight any device that has rebooted in the last 24 hours
  • Mapping
    Get device details from mapped devices
    Check and summarize QoS drops on the mapped devices
    Draw device, note, arrow on map with the output data
03

Benefits of Network Automation with NetBrain Agentic AI

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Natural Language Input/Output

Query, interpret, and summarize results.

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Orchestrates Workflows

Analyzes millions of automations.

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Built-In Intelligent CLI

Execute CLI Commands with AI Intelligence.

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Accurate Data Retrieval

Network inventory from the live Digital Twin and discovered device data.

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Full Visibility

Dynamically map devices, neighbors, diagnostics, and paths.

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Reduce MTTI/MTTR

Left shifts troubleshooting.

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Safer Change Management

Validate network before, during and after changes.

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Actionable Observability

Export automation results to interactive dashboards.

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Customized Documentation

Refine reporting.

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Maintain Compliance and Prepare for Audits

Inventory reporting and observability dashboard exporting.

04

Shift Left Your Network Operations Workflows

By adopting “Shift Left” methodologies, organizations can proactively tackle challenges in troubleshooting and change management, enabling automated workflows.

  • Troubleshooting – AI-driven ticket triggered auto-diagnosis execution and result generation
  • Change – Auto-remediation for change with pre-built runbooks
  • Observability – Enforce network with past outages observability dashboard with alerting
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Machine

NetBrain Automation + AI

  • Ticket creation
  • Map creation
  • Auto-diagnose known incidents
  • Auto-close tickets
  • Auto-prioritize tickets
  • Dashboard creation
Operator

NetBrain Automation + AI

  • Use AI to leverage self-service troubleshooting automation
  • Post learnings in a collaboration portal for escalations
  • Transfer knowledge efficiently between shifts
L1 Engineer

NetBrain Automation + AI

  • Use Runbooks and maps to troubleshoot problems
  • Use a collaboration portal for escalations
  • Leverage Incident dashboards
  • Expedite daily pre-checks, checks, & post-checks
L2 Engineer

NetBrain Automation + AI

  • Leverage Incident dashboards for incident records
  • Use a collaboration portal
  • Leverage AI to troubleshoot complex problems faster
  • Leverage AI to create custom reports

Get Started with NetBrain