NetBrain Feature Requests
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835 Ideas
Correct License Validation for NSX-T Node Discovery Under Universal Node LicenseOpen
NetBrain currently returns a license error when attempting to discover NSX-T nodes through the NSX API, even when the customer holds a valid Universal Node license that should permit this discovery. This enhancement would correct the license validation logic so that NSX-T discovery properly recognizes Universal Node license entitlements and completes without a false licensing block. Ensuring accurate license validation for NSX-T discovery would allow customers with the correct license to achieve full SDN visibility without unnecessary support escalations.
Display Follow-up QApp Results in ServiceNow Diagnosis SummaryOpen
When a Network Intent with a follow-up QApp is triggered from ServiceNow, only the Network Intent diagnosis messages appear in the ServiceNow summary; results generated by the follow-up QApp, such as CSV reports, alert messages, diagnosis messages, or device notes, are not surfaced there, requiring users to open NetBrain separately to view them. This enhancement would extend the ServiceNow diagnosis summary to include follow-up QApp results directly, or at minimum indicate that additional QApp output exists and prompt the user to view it in NetBrain. Providing this visibility would give ServiceNow users more complete diagnostic context without needing to switch tools, improving incident triage efficiency.
Per-Probe Device Error Visibility in PA DashboardOpen
The PA Dashboard currently allows users to identify unreachable devices from a given probe, but it does not provide a reverse view that lets users select a probe and see the devices reporting errors for that specific probe. This enhancement would add a probe-centric view to the PA Dashboard, listing configured probes alongside the devices experiencing errors under each one. Customers monitoring large environments would gain a more efficient way to isolate probe-specific issues across their device fleet, reducing the manual effort needed to correlate errors back to individual probes.
REST API Access to Fine Tune Domain StatisticsOpen
NetBrain's REST API currently does not provide a documented endpoint for retrieving Fine Tune statistics for a domain, including device counts and identifying details for fully CLI-accessed devices, SNMP-only devices, missed devices, devices with unknown SNMP SysObjectID, unknown IP addresses, and subnets with conflicted IPs. This limits customers who want to build automated reporting or monitoring workflows around Fine Tune results without relying on manual review through the user interface. This enhancement would introduce a REST API endpoint that exposes Fine Tune statistics for a specified domain, returning the counts and associated hostname or IP details for each of the categories above. Customers integrating NetBrain with external automation or reporting systems would benefit from consistent, programmatic access to Fine Tune data, enabling further automation and reducing reliance on manual lookup.
Guidance and Certification for Local LLM DeploymentOpen
NetBrain does not currently publish verified or recommended local LLM models, inference engines, or hardware specifications for customers who want to run local LLMs instead of the default OpenAI-based models. This enhancement would provide documented guidance identifying certified local LLM models, verified inference engines, and recommended server specifications needed to support these models at expected performance levels. Customers who require on-premises LLM deployment for data security, compliance, or connectivity reasons would gain clear implementation guidance and confidence that their local environment meets NetBrain's operational requirements.
Bulk CSV Import of Device Login Credentials in Network SettingsOpen
NetBrain currently requires administrators to manually enter Telnet/SSH login credentials one at a time in Network Settings, which becomes time-consuming in environments where each network device is assigned a unique set of credentials. This enhancement would add a bulk import capability, such as a CSV-based import process, allowing administrators to register multiple sets of login credentials into Network Settings in a single operation. Customers managing large device inventories with unique per-device credentials would benefit from significantly reduced manual setup effort and faster onboarding of new environments.
Include Run Now Tasks in Concurrent Discovery/Benchmark Task LimitOpen
NetBrain currently applies its concurrent task execution limit, configured under System Management Task Manager, only to Discovery and Benchmark tasks that are scheduled to run. Tasks initiated through Run Now are not counted against this limit, so the total number of simultaneous task executions can exceed the configured maximum when manual runs occur alongside scheduled ones. This enhancement would extend the existing concurrency limit setting to also include Run Now-initiated Discovery and Benchmark tasks, so that the combined count of scheduled and manually triggered executions is constrained by a single configured maximum. This would help administrators, particularly in multi-tenant or multi-domain environments, avoid overloading the NetBrain system and network devices due to unplanned concurrent task execution.
Automated Deep Diagnosis Trigger from Scheduled Network Intent AlertsOpen
NetBrain currently does not support automatically initiating a Deep Diagnosis run when a scheduled Network Intent detects an alert; users must manually review Network Intent results and separately launch Deep Diagnosis to investigate root cause. This enhancement would allow a scheduled Network Intent to automatically trigger a Deep Diagnosis session upon detecting an anomaly, creating a closed-loop workflow from scheduled health check to automated root-cause analysis without manual intervention. Customers relying on scheduled monitoring would benefit from faster incident response and reduced manual effort in correlating alerts with diagnostic investigation.
Historical Match Lookup Against Past Deep Diagnosis ExecutionsOpen
Deep Diagnosis currently troubleshoots only against live, real-time data and has no mechanism to reference its own history of previously executed queries and results when a user asks about an issue that occurred at a past date and time. This enhancement proposes enabling Deep Diagnosis to search prior executed queries and results, including both scheduled (TAF) and user-triggered runs, to identify the closest historical match to a predated issue and surface the associated findings or resolution. Customers investigating issues that are no longer live would benefit from faster root-cause identification without needing external historical data sources.
Hide Internal-Use AI Port Setting from Administrator GUIOpen
NetBrain currently exposes a configuration field intended solely for internal use within the administrator interface, with no option to hide it from standard view. Because this field is visible, users may unintentionally modify it, leading to operational issues even after being advised against changing it. This enhancement would introduce the ability for administrators to hide internal-use-only configuration fields from the GUI, ensuring they remain accessible only through supported internal channels. Limiting visibility of sensitive or internal configuration values would reduce the risk of accidental misconfiguration and decrease the volume of related support inquiries.
Configurable Default Time Range for GAL DashboardsOpen
GAL dashboards currently default to displaying results from only the last 7 days. When a dashboard is opened for the first time more than 7 days after intents were executed, it appears blank even though valid results exist, requiring users to manually adjust the time range or re-run intents to see data. This enhancement would extend the default visibility window, such as to 30 days, or change the default behavior to show the most recently executed results regardless of when they ran. This would present a more complete and accurate view of dashboard data on first access, improving the onboarding experience and reducing the perception of missing or broken results.
Dynamic Sync of Device Groups in AI Deep Diagnosis Agent SettingsOpen
AI Settings for the Deep Diagnosis Agent currently require device groups to be added statically, meaning membership does not update automatically when the underlying Shared Groups change. This enhancement would allow the Deep Diagnosis Agent's device group configuration to sync on a scheduled basis, such as daily or weekly, reflecting changes made to the source Shared Groups. Customers managing dynamic environments would benefit from reduced manual maintenance and more accurate diagnosis coverage without needing to manually re-add or update device groups.
Manual Search Trigger and Retained Criteria for Audit Log SearchOpen
The Audit Log Search page currently loads data automatically before a user defines a time range or module, resulting in long initial load times, and it does not retain previously used search criteria when the page or tab is reopened, requiring the user to redefine search parameters each time. This enhancement would require users to manually select the desired time range and module and click Search before the query executes, rather than triggering an automatic load, and would additionally retain the most recent search criteria across sessions. Administrators reviewing audit logs would benefit from reduced wait times and fewer repeated steps when performing routine log searches.
OAuth Dynamic Client Registration SupportOpen
NetBrain's OAuth implementation currently requires each client integration to be manually registered and configured by an administrator before it can authenticate, with no support for clients to register themselves programmatically. This limits organizations that connect multiple dynamic or third-party MCP clients, as each new client requires manual setup effort before it can establish a connection. This enhancement would add support for OAuth Dynamic Client Registration, allowing compatible clients to register with NetBrain's authorization server automatically and receive credentials without administrator intervention for each individual client. Customers integrating a growing number of AI assistant or automation tools would benefit from reduced administrative overhead and faster, more consistent onboarding of new OAuth-based integrations.
Native Integration with AppDynamics Monitoring PlatformOpen
NetBrain does not currently offer a native or certified integration with AppDynamics (AppD), a widely used application performance monitoring platform. This enhancement would add a supported integration that allows NetBrain to exchange device and monitoring data with AppD, enabling cross-referencing of network visibility data with application performance insights in a manner consistent with existing APM integrations. Customers evaluating or running AppD alongside NetBrain would benefit from consolidated visibility across network and application layers, reducing manual effort in correlating data between the two platforms.
Golden Assessment Library Support for Opengear DevicesOpen
NetBrain's Golden Assessment Library currently does not include validated assessment content for Opengear devices, leaving these devices without out-of-the-box configuration compliance checks. This enhancement would extend the Golden Assessment Library to natively support Opengear devices, enabling standard assessment and compliance checks through Deep Diagnosis and Runbook Companion workflows. Customers operating Opengear devices would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
Include AI Companion Results in Runbook Document NodeOpen
The Runbook Document node currently allows users to include information only from specific action nodes, such as Map, CLI, Device, Intent, Config Check, Change, and QApp, but does not support pulling in AI Companion results. This enhancement would add AI Companion output as an available content source within the Document node, allowing its results to be incorporated directly into generated runbook documentation. Customers would benefit from more complete documentation that combines AI-driven analysis with existing runbook execution details, improving reporting and review workflows.
Golden Assessment Library Support for A10/ATEN Load BalancersOpen
NetBrain's Golden Assessment Library currently does not include validated assessment content for A10 or ATEN Load Balancer devices, leaving these platforms without coverage in Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library support to include A10 and ATEN Load Balancer drivers, enabling standard configuration compliance checks for these platforms. Customers operating A10 or ATEN Load Balancers would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
Role-Based Access Control for MCP Server AI ResponsesOpen
NetBrain's MCP server currently returns network-related data to all authenticated users without regard to their assigned role, meaning any user with access to the AI assistant can receive the same level of detail regardless of their intended scope of visibility. This enhancement would introduce role-based access control for MCP server responses, allowing administrators to define which categories of network data a given role is permitted to receive through AI-driven queries. Organizations with segmented teams, such as application owners who should not see sensitive network infrastructure details, would benefit from tighter data governance and reduced risk of unintended information exposure through the AI assistant.
Queue TAF Requests During Platform Downtime for Post-Restoration ExecutionOpen
NetBrain currently discards Triggered Automation Framework requests, such as those received from ServiceNow, if they arrive while the platform is unavailable due to maintenance, upgrade, patch updates, or an HA failover, and no mechanism exists to recover or process them once service is restored. This enhancement would introduce a queueing mechanism that holds incoming TAF requests during a period of platform unavailability and automatically executes them once the platform returns to a healthy state. Customers relying on automated diagnosis workflows would benefit from reduced manual troubleshooting effort and more consistent incident coverage, since requests would no longer be silently lost during planned or unplanned downtime.
Proactive Alerting for Expiring System CertificatesOpen
NetBrain currently has no mechanism to monitor the expiration status of system-level SSL/TLS certificates used by internal services and alert administrators before they expire. As a result, certificate expiration can go undetected until a service failure occurs, leading to unplanned downtime and reactive troubleshooting. This enhancement would introduce a monitoring capability that tracks certificate expiration dates for system services and issues proactive alerts within a configurable time window before expiration. Providing early visibility into upcoming certificate expirations would allow administrators to renew certificates ahead of time, reducing the risk of service outages caused by expired certificates.
Pre-Approval Support for PAF ChangesOpen
NetBrain's Change Management module currently limits the Pre-Approval option to TAF-based changes, with no equivalent capability available for PAF-based changes. This enhancement would extend the Pre-Approval capability to PAF changes, allowing customers to apply the same approval workflow consistently across both change types. Extending this support would give customers uniform governance and approval controls regardless of which change framework they use, reducing confusion and manual workarounds.
GCP Network Connectivity Center Hub Support in Path CalculationOpen
NetBrain currently does not recognize a Network Connectivity Center (NCC) Hub as a valid next hop when parsing GCP VPC route tables, and does not capture dynamic routes present in those tables. As a result, path calculation for GCP environments using NCC Hub connectivity produces incomplete or incorrect paths. This enhancement would extend GCP route table parsing to correctly identify NCC Hub next hops and include dynamic routes, enabling the path engine to build accurate end-to-end paths across NCC-connected VPCs. Customers using GCP Network Connectivity Center for hybrid or multi-VPC connectivity would gain reliable path visibility, reducing manual verification and troubleshooting effort.
Continuous Conversational Chat for Deep Diagnosis ResultsOpen
Deep Diagnosis currently supports only a single-pass interaction model, requiring users to initiate a new session rather than continue engaging with the system based on prior diagnostic output. This enhancement would introduce a continuous chat capability, allowing users to ask follow-up questions and iterate on Deep Diagnosis results within the same conversational context. Customers would benefit from a more efficient troubleshooting workflow, enabling deeper investigation without the need to restart or manually re-establish diagnostic context.
Golden Assessment Library Support for Opengear Infrastructure ManagerOpen
NetBrain's Golden Assessment Library currently does not include validated assessment content for Opengear Infrastructure Manager devices, leaving these devices without coverage in Deep Diagnosis workflows. This enhancement would extend Golden Assessment Library support to include Opengear Infrastructure Manager devices, enabling standard configuration compliance checks for this platform. Customers running Opengear infrastructure would benefit from consistent, supported assessment coverage without needing to build custom checks for these devices.
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