6 Best Agentic NOC Platforms in 2026: AI Investigation, Network Automation, and Incident Response

Disclosure: This guide is published by OnPage, a provider of incident alerting and on-call management software. OnPage is discussed separately as a tool for routing urgent incidents to human responders. The platform descriptions are based on publicly available vendor materials. We did not conduct hands-on testing of every product.

A network outage can generate hundreds of alerts across monitoring tools, ticketing systems, and infrastructure platforms. For network operations center (NOC) teams, the challenge is figuring out which signals are related, what caused the issue, and what needs to happen next

Agentic NOC platforms, sometimes described as agentic network operations or agentic NetOps tools, use AI agents to help investigate operational issues and coordinate responses. Depending on the platform, an agent may gather evidence, correlate events, identify a likely root cause, recommend a fix, or carry out an approved action.

Platforms use the term agentic NOC to describe different capabilities. Some focus on network devices and configurations; others investigate incidents across cloud infrastructure, applications, and observability tools. Some recommend actions for an engineer to review, while others can execute changes with varying levels of human oversight.

For NOC managers, IT operations leaders, and managed service providers (MSPs), the distinction matters: What can the platform investigate, what can it change, and when does it involve a human?

This guide compares six platforms based on their operational focus, investigation capabilities, automation, integrations, and human oversight. It also looks at how teams can route incidents to the right on-call responder when an issue needs human attention.

Agentic NOC Platforms at a Glance

Platform	Best Fit	Primary Focus	Key Consideration
NetBrain Agentic NetOps	Enterprise teams managing multi-vendor networks	Network diagnosis, assessment, and governed workflows using live network context	Confirm device coverage, deployment requirements, and approval settings
Cisco AgenticOps	Organizations evaluating Cisco-centered enterprise networks	AI-assisted network investigation and policy-governed operations	Validate coverage across Cisco and non-Cisco systems
HPE Juniper Mist with Marvis AI	Teams using Mist to manage enterprise networks	Network troubleshooting, telemetry analysis, and recommended corrective actions	Confirm coverage across your network domains and required products
IBM Network Intelligence	Organizations evaluating complex, multi-vendor networks	Network observations, AI-assisted analysis, and remediation workflows	Review supported data sources, operating modes, and approval requirements
Arista AVA	Teams evaluating AI operations in Arista environments	Agentic AIOps and network troubleshooting across supported domains	Verify which agentic capabilities are available in your product release
Nokia Network Services Platform	Telecom and service-provider IP networks	AI-assisted network troubleshooting and agentic operations for IP networks	The announced agentic framework was planned for commercial availability by the end of 2026

Pricing note: Request current pricing and a scope-specific quote from each vendor. Costs can depend on deployment, integrations, licensing, consumption, support, and implementation requirements.

What Is an Agentic NOC Platform?

An agentic NOC platform uses AI agents to perform parts of a network or IT operations workflow. An agent may receive an alert, gather information from connected systems, investigate possible causes, recommend a response, and—in some products—carry out permitted actions.

The level of autonomy varies. One platform may investigate using read-only access and leave changes to an engineer. Another may run approved procedures or allow certain actions under configured policies.

“Agentic NOC” can also describe different environments. A platform built for enterprise network operations may focus on routers, switches, configurations, and network paths. A telecom-focused offering may address carrier-specific network and service operations. Other AI operations tools may focus more heavily on cloud infrastructure, applications, logs, and deployments.

For buyers, the most useful question is not whether a vendor uses the word agentic, but what its agents can actually observe, investigate, and do in the environment you operate.

How We Evaluated These Platforms

We selected established vendors with documented agentic AI capabilities relevant to network operations. Our comparison prioritizes the requirements of enterprise NOCs, IT operations teams, and MSPs, while also including a service-provider option for telecom readers.

We considered:

• Operational focus: The network environments and domains the platform is designed to support.
• Investigation: The evidence an agent can collect and how it helps identify a likely cause.
• Action and oversight: Whether the platform recommends a response, supports approved actions, or permits configured autonomous execution.
• Integrations: Connections to network systems, monitoring, observability, ticketing, and collaboration tools.
• Evidence and verification: Whether responders can inspect supporting information and validate the result of a change.
• Operational fit: The considerations a NOC or MSP should explore during a trial or proof of concept.

NetBrain is presented first because its documented focus on multi-vendor network context and governed workflows closely matches the primary enterprise NOC audience of this guide. The other tools are presented by fit and capability; their positions should not be interpreted as a universal ranking across every environment.

This guide is based on publicly available product pages and documentation reviewed in October 2026. Vendor descriptions are not a substitute for testing the products against your own network, incidents, policies, and integrations.

1. NetBrain Agentic NetOps: Best for Multi-Vendor Enterprise Networks

Overview: NetBrain is an agentic NetOps platform designed to help network teams diagnose issues, assess network conditions, and perform governed operational workflows. Its approach combines AI agents with live network context, network intent, and automation tools.

Investigation and automation: NetBrain describes agents that work with network data and automation to support diagnosis, assessment, and change workflows across multi-vendor infrastructure. Its governed execution model uses deterministic runbooks to validate actions.

Integrations: NetBrain states that its platform works with existing operational systems, including ITSM and observability tools. Confirm the available integrations and supported network devices for your environment.

Human oversight: According to NetBrain, workflows can begin with an engineer approving each step. Teams can adjust the level of oversight for specific task types as they gain confidence.

Best for: Enterprise network teams that want AI-assisted diagnosis and governed workflows grounded in their own network context.

Consideration: Ask for a proof of concept using your device vendors, network topology, change procedures, and approval policies. Request pricing for the required capabilities and deployment.

Source: NetBrain Agentic NetOps platform.

2. Cisco AgenticOps: Best for Cisco-Centered Enterprise Networks

Overview: Cisco AgenticOps applies AI agents and network context to enterprise network operations. Cisco describes an agentic workforce that helps teams investigate issues and perform operational work under policy controls.

Investigation and automation: Cisco’s enterprise networking materials describe agents that use network data to support troubleshooting and operational workflows. Its data-center solution also describes an investigation workspace where teams can review a proposed remediation and validate the result.

Integrations: Cisco’s offerings connect with its networking and infrastructure portfolio. Evaluate the specific products involved and how well they cover non-Cisco systems in your environment.

Human oversight: Cisco describes agent actions as policy-bound and auditable. In its documented data-center workflow, an operator approves and applies the recommended change.

Best for: Organizations with substantial Cisco infrastructure that want to evaluate agentic workflows alongside their existing network management tools.

Consideration: Confirm which capabilities are included in the Cisco products and licenses being evaluated, as well as coverage across your complete network. Request current pricing and implementation details.

Sources: Cisco AgenticOps for enterprise networking and Cisco data-center agentic operations overview.

3. HPE Juniper Mist with Marvis AI: Best for AI-Assisted Enterprise Network Troubleshooting

Overview: HPE Juniper Mist combines cloud-managed network operations with Marvis AI, an assistant designed to help network teams troubleshoot issues and understand user experiences across supported environments.

Investigation and automation: HPE Juniper describes Marvis as using AI agents and network telemetry to identify issues, analyze network conditions, and recommend corrective actions. Capabilities vary across the Mist products and network domains being used.

Integrations: Mist supports network operations across areas such as wireless, wired access, and WAN. The Marvis data-center offering extends AI-assisted investigation to supported data-center environments.

Human oversight: Teams should confirm which actions are recommendations, which can be automated, and what approval and configuration options apply to the specific Marvis and Mist capabilities they plan to use.

Best for: Enterprise network teams already using or evaluating HPE Juniper Mist who want AI-assisted troubleshooting in their network management workflow.

Consideration: Confirm product licensing, supported network domains, data-center coverage, and integration with existing ticketing and on-call workflows. Request current pricing.

Sources: Marvis conversational assistant documentation and Marvis AI Assistant for Data Center.

4. IBM Network Intelligence: Best for Multi-Domain Network Operations

Overview: IBM Network Intelligence applies analytical and agentic AI to network operations across multi-vendor and multi-domain environments.

Investigation and automation: IBM describes NOC agents that process network observations alongside domain knowledge and network context to identify possible causes and remediation plans. Its documented operating modes include assistant and agent modes.

Integrations: Buyers should review how the platform receives network data, connects to operational tools, and uses available domain knowledge for the environments they manage.

Human oversight: IBM documents different operating modes for the network operations lifecycle. Teams should confirm where specialist review, approvals, and automated remediation apply in their intended configuration.

Best for: Organizations evaluating AI-assisted network analysis across complex environments with multiple vendors and network domains.

Consideration: Ask IBM to demonstrate a representative incident using your network data and explain the permissions and review steps associated with each operating mode. Request current pricing and deployment details.

Sources: IBM Network Intelligence and IBM Network Intelligence features.

5. Arista AVA: Best for AI-Assisted Operations in Arista Environments

Overview: Arista AVA, or Autonomous Virtual Assist, is part of Arista’s approach to AI-assisted network operations. Arista describes AVA as an agentic AIOps framework intended to support network operations across multiple domains.

Investigation and automation: Arista positions AVA around network data, AI-assisted troubleshooting, and operational workflows. The exact agentic capabilities available to a team depend on the relevant Arista products and software release.

Integrations: Teams should evaluate how AVA uses data from their Arista environment and how it connects to the monitoring, ticketing, and other operational systems already in use.

Human oversight: Ask Arista to demonstrate which actions AVA recommends or performs, what approvals are available, and how actions are recorded in the product version being evaluated.

Best for: Organizations using or evaluating Arista networking technologies that want AI-assisted network operations within that environment.

Consideration: Confirm current feature availability, supported network domains, third-party coverage, licensing, and pricing before comparing AVA with a multi-vendor platform.

Sources: Arista’s agentic AI networking announcement and Arista’s 2026 network operations announcement.

6. Nokia Network Services Platform: Best for Service-Provider IP Networks

Overview: Nokia Network Services Platform (NSP) supports IP network operations. Nokia has announced an agentic AI framework for NSP intended to help operators apply AI to network troubleshooting and operational workflows.

Investigation and automation: Nokia describes an AI-driven troubleshooting agent designed to help analyze complex IP network issues, support root-cause analysis, and provide explainable workflows.

Integrations: Nokia describes a framework intended to work across multi-vendor and multi-domain network environments. Service providers should verify which integrations and network domains are supported in the release they are considering.

Human oversight: Ask Nokia how operators review agent findings, approve actions, configure permissions, and validate changes in the relevant deployment.

Best for: Telecom operators and service providers exploring agentic operations for IP networks.

Consideration: Nokia’s announcement stated that the NSP agentic framework would be commercially available by the end of 2026. Confirm current availability, supported capabilities, deployment requirements, and pricing directly with Nokia.

Source: Nokia’s NSP agentic AI framework announcement.

Agentic NOC vs. Traditional NOC Tools and AIOps

Traditional NOC tools help teams monitor network health, receive alerts, inspect dashboards, and manage incidents. Network automation tools can execute defined procedures, while AIOps products may use analytics or machine learning to detect anomalies and correlate events.

Agentic capabilities can extend those workflows by allowing an AI agent to gather information across tools, investigate a problem through multiple steps, and recommend or perform actions within its permissions. Product capabilities overlap: some AIOps platforms already support automation, and not every agentic platform can—or should—make network changes.

The comparison to make is practical: What work does the system perform on its own, what evidence does it provide, and where does your team remain responsible?

What Does an Agentic NOC Workflow Look Like?

Consider a branch office where users report that a critical application is unavailable. A monitoring system detects packet loss and sends an alert. An agentic NOC workflow might then:

1. Collect context: Retrieve relevant alerts, device information, recent changes, and ticket details from connected systems.
2. Investigate: Run permitted checks and compare the findings with the network topology or operational history.
3. Recommend a response: Present a likely cause with supporting evidence and a suggested next step.
4. Request approval or act: Depending on the platform and configured policy, send the recommendation to an engineer or run an approved procedure.
5. Validate and escalate: Check the outcome where supported. If the problem persists, the action is outside the agent’s permissions, or human judgment is required, route the incident to the responsible team.

Not every platform performs every step. During evaluation, ask the vendor to demonstrate the workflow using a realistic incident and the systems your team already operates.

When an Agentic NOC Needs a Human: On-Call Alerting With OnPage

AI agents can help NOC teams investigate incidents and recommend next steps. Some situations still require an engineer to review evidence, approve a change, investigate an exception, or take ownership of an unresolved issue, especially outside business hours.

OnPage is an incident alerting and on-call management platform that helps teams route urgent notifications to the scheduled responder based on who’s on call. Persistent mobile push alerts can override supported silent and Do Not Disturb settings and repeat until read. Configured escalation policies move unanswered alerts to backup responders, while delivery and read statuses provide visibility into the response.

OnPage also supports on-call schedules and overrides, call routing, alert noise reduction, and incident reporting. Through supported native integrations, APIs, webhooks, or email-based workflows, teams can connect selected events from different systems and tooling, including NOC platforms, monitoring and ticketing systems to their on-call response process, closing the gap between detection and human response.

For example, a team could configure a supported monitoring or ITSM workflow to notify OnPage when an incident requires human intervention. OnPage can then apply the relevant schedule and escalation policy to alert the responder on duty. The exact connection, trigger, and information shared depend on the systems and configuration involved.

Explore OnPage monitoring and observability integrations and ITSM and ticketing integrations.

How to Choose an Agentic NOC Platform

1. Define the environment you need to investigate

Start with the systems where your team loses the most time. A network team may need device-level diagnostics, topology, and configuration history. A telecom provider may need carrier-specific network coverage. Identify the domains and vendors the platform must support.

2. Ask the vendor to show its evidence

During a demonstration, ask how the platform arrived at a suspected cause. Can an engineer inspect the underlying commands, logs, metrics, configuration changes, or ticket information? Can the team challenge a finding and investigate another hypothesis?

3. Define the boundaries for action

List the actions you would permit an agent to perform, the actions requiring approval, and the actions reserved for an engineer. Ask how permissions are scoped, how changes are logged, and how the team can stop or reverse a workflow.

4. Validate integrations and MSP requirements

Test the platform with your monitoring, ticketing, identity, collaboration, and network systems. MSPs should also ask how customer environments are separated, how access is controlled, and how operational data is protected across tenants.

5. Test the handoff to a person

Simulate an incident the agent cannot resolve or a change that requires approval. Verify who receives the notification, whether the on-call schedule is current, what context the responder receives, and how an unanswered alert escalates.

6. Run a proof of concept with your own incidents

Use representative historical and live scenarios, including an unfamiliar issue, a misleading alert, and a failed or incomplete remediation. Compare the agent’s findings with the evidence your engineers would use, then assess the time and effort needed to verify the result.

Frequently Asked Questions

What is an agentic NOC?

An agentic NOC uses AI agents to assist with or perform parts of network and IT operations workflows. Depending on the platform and permissions, agents may gather evidence, investigate alerts, recommend actions, or execute approved procedures.

What is the difference between agentic NOC and AIOps?

AIOps commonly applies analytics or machine learning to operational data for tasks such as anomaly detection and event correlation. Agentic NOC capabilities can add multi-step investigation and action by AI agents. The categories overlap, so buyers should compare the actual capabilities of each product.

Can an agentic NOC tool change network configurations?

Some platforms support governed network actions, while others investigate with read-only access and leave changes to engineers. Ask which actions are currently supported, what permissions they require, whether approval is mandatory, and how changes are validated and logged.

Can agentic NOC tools replace NOC engineers?

Agentic platforms can help teams collect evidence, investigate issues, and automate selected workflows. Engineers still define policies, evaluate findings, approve or perform higher-risk actions, and handle exceptions. The appropriate level of autonomy depends on the organization and workflow.

Are agentic NOC platforms useful for MSPs?

They can be useful to MSPs investigating incidents across customer environments. Before choosing a platform, MSPs should verify supported tools and devices, customer separation, access controls, reporting, deployment, and pricing.

How are unresolved incidents escalated to an on-call engineer?

The process depends on the platform and its integrations. An agent may create or update a ticket, notify a collaboration channel, or trigger another operational workflow. An on-call alerting platform such as OnPage can route qualifying notifications to the scheduled responder and follow configured escalation rules when an alert goes unread.

What should teams test before purchasing an agentic NOC platform?

Test device and integration coverage, investigation quality, evidence trails, permissions, approval workflows, action validation, and the escalation path to a human. Include incidents that cross systems and scenarios where the agent cannot reach a confident conclusion.

Build the Human Handoff Into Your Agentic NOC

An agentic NOC can help teams investigate issues faster and reduce manual work. The operational workflow also needs a clear path to the person responsible when an incident requires judgment, approval, or hands-on response.

OnPage helps teams connect critical incidents to on-call responders with persistent mobile alerting, scheduling, escalation, and response visibility.

Start an OnPage free trial or contact the OnPage team to discuss your incident alerting and on-call workflow.