AIOPS
AIOps for Automated Network Operations and Observability
NetBrain’s AIOps solution uses artificial intelligence to transform network operations from reactive troubleshooting to proactive prevention. It automates diagnostics, accelerates root cause analysis and remediation, and streamlines change managementacross hybrid environments — helping IT teams resolve incidents faster and maintain network reliability.
Streamline Operational Workflows with AIOps
NetBrain’s Artificial Intelligence for IT Operations (AIOps) tools use AI, big data analytics, and machine learning (ML) technology to automate and enhance critical IT operations. By analyzing vast amounts of data, AIOps can identify patterns, detect anomalies, and automate responses to issues, ensuring optimal efficiency and minimal downtime.
Key Benefits of AIOps
Real-time Insights
By automatically analyzing real-time data, AIOps can detect system anomalies early, conduct root-cause analysis, and proactively resolve network issues before they escalate.
Improved Observability
Improved network visibility gives teams a comprehensive view of IT environments, allowing them to monitor health and performance, make informed decisions, and collaborate more efficiently.
Enhanced Operational Efficiency
By automating routine tasks and processes, AIOps reduces the manual workload on IT teams and prevents repetitive troubleshooting.
Transform Network Operations with Predictive Intelligence
NetBrain offers distinct capabilities within our AIOps platform to automate and scale key operational workflows, including AI-assisted diagnosis automation, observability, auto-remediation, and change automation. These key features elevate network operations by reducing reliance on manual diagnostics, preventing outages and performance degradation, and ensuring consistent, error-free network changes.
AI-Assisted Diagnosis Automation
Unlock the power of intelligent diagnosis at machine speed with AI-assisted automation. Type your diagnosis question and let the AI Co-Pilot interpret your intent using a large language model (LLM). “Shift Left” troubleshooting workloads means L1 engineers can assist with L2 engineers’ work, while automation and AI can assist with L1 work.
Providing the earlier-stage teams with these AIOps tools allows them to handle more complex problems quickly and efficiently. Plus, the Co-Pilot will effortlessly perform monitoring and create custom observability dashboards, dramatically reducing human touch, escalations, and MTTR.
AI-Assisted Hybrid Network Observability & Auto-Remediation
How long do you spend on network assessments each year, and do they cover your entire network? How useful are they after a couple of months?
NetBrain’s Observability & Auto-Remediation solutions prevent outages by automating your assessment process making it continuous. Gain real-time insights through intuitive network-wide summary observability dashboards that monitor automation across your entire network. Our proactive tools help you quickly address issues as they emerge, ensuring optimal performance. Make network management proactive with customized security, applications, and compliance observability.
AI-Assisted Change Automation
How many network changes do you make every month, and what’s your success rate? Have your changes ever led to unintended consequences like outages?
With NetBrain’s Triple Defense Protection, you can make changes with greater confidence. Here’s how it works:
- Before implementing a change: Analyze it against your established golden config rules to prevent violations.
- During the change: Assess the impact of your deployment to ensure everything is functioning properly.
- After the change: Integrate your new design into the golden config rules to prevent future configuration drift.
NetBrain’s AI-assisted change automation safeguards your network from unintended consequences throughout the change management process to minimize the risk of outages.
Get Started with NetBrain
Frequently Asked Questions
- What is AIOps in network operations?
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AIOps (Artificial Intelligence for IT Operations) uses artificial intelligence and machine learning to automate network visibility, diagnosis, remediation, and change management. It transforms manual workflows into proactive, automated operations.
- How does NetBrain’s AIOps solution work?
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A. NetBrain uses a combination of Generative AI and Agentic AI through a RAG (Retrieval-Augmented Generation) architecture that grounds every response in your actual network data. This architecture powers our AI Insight and AI Bot features to detect anomalies, run automated diagnostics, identify root causes, orchestrate remediation workflows, and resolve issues quickly to reduce downtime.
- What are the benefits of using AIOps for network troubleshooting?
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- Proactive issue resolution: AIOps enables early detection of network issues, allowing for proactive remediation before problems escalate into outages.
- Automated insights: By analyzing vast amounts of network data, NetBrain provides actionable insights that help IT teams make informed decisions quickly.
- Enhanced efficiency: Automation of routine tasks reduces manual effort, freeing up IT staff to focus on strategic projects rather than repetitive troubleshooting.
- Improved network visibility: AIOps enhances real-time visibility into network performance, enabling teams to monitor health and performance metrics more effectively.
- Faster incident response: With automated incident detection and response capabilities, NetBrain reduces mean time to resolution (MTTR) for network issues.
- Data-driven decision-making: AIOps leverages historical data and machine learning to improve decision-making processes, helping teams optimize network configurations and performance.
- Streamlined collaboration: By centralizing data and insights, AIOps fosters better collaboration among IT teams, enhancing communication and coordination during incident management.
- Reduced downtime: Ultimately, AIOps helps minimize downtime and maintain high network availability, leading to improved service delivery and user satisfaction.
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- Can AIOps help with hybrid and multi-cloud environments?
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Yes. NetBrain’s AIOps platform provides end-to-end observability and automated troubleshooting across hybrid and multi-cloud networks, giving IT teams visibility and control over complex infrastructures.
- How does NetBrain compare to legacy systems?
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Unlike Itential, which focuses mainly on workflow orchestration, NetBrain’s AIOps solution combines AI-driven diagnostics with automated remediation. Compared to traditional monitoring tools, NetBrain delivers predictive intelligence and faster root cause resolution.