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NetBrain currently does not provide a single, consolidated dashboard that presents the connectivity and availability status of all discovered devices in an easily digestible format for administrators. Users must rely on multiple discrete widgets, reports, or manual drill-downs to assemble a comprehensive picture of device reachability and health across the network. This enhancement would introduce a dedicated availability and connectivity dashboard that aggregates status across the full set of discovered devices into a unified, user-friendly view. Customers evaluating or replacing legacy network management tools would benefit from faster, centralized visibility into device availability, reducing the need for manual correlation across separate reports and improving operational efficiency.
Network Intent currently requires users to manually recreate identical sections or logic blocks across multiple, separate intents, and any update to shared logic must be repeated individually in each intent. This enhancement proposes a mechanism to define reusable intent sections, such as through a structured format, along with the ability to import specific diagnosis blocks or sections directly from one intent into another. Customers building and maintaining large libraries of intents would benefit from reduced redundancy, faster intent development, and improved consistency when shared logic needs to be updated.
NetBrain currently displays diagnostic messages during Network Intent execution that can misrepresent a Front Server login failure as an actual network error, since the message wording does not distinguish between a connectivity issue and an authentication failure. This enhancement would refine the error handling logic so that login failures are clearly identified and labeled separately from genuine network-level errors. Providing accurate, distinct diagnostic messaging would reduce troubleshooting time and prevent misinterpretation of the true network state.
NetBrain's discovery and benchmark driver for F5 Load Balancer devices currently does not retrieve running configuration data, leaving a gap in configuration visibility for this platform. This enhancement would add support for the 'list all-properties recursive' command within the F5 Load Balancer driver so that running configuration can be captured consistently. Customers managing F5 Load Balancer devices would benefit from complete configuration data being available for benchmarking, assessment, and troubleshooting workflows.
NetBrain currently does not display route table data for virtual routers on Palo Alto devices within device properties, even when the underlying route table commands have been imported successfully. This enhancement would ensure that route table data collected for each virtual router is correctly parsed and surfaced in the device properties view. Customers managing multi-virtual-router Palo Alto environments would gain accurate and complete routing visibility, reducing the need for manual verification of routing data.
NetBrain currently does not provide a Copy Path option within Golden Assessment Rules, requiring users to locate the corresponding rule in the Golden Config Browser to retrieve its path before it can be referenced in a Network Intent for remediation scripting. This enhancement would add a Copy Path action directly within the Golden Assessment Rule interface, aligning its functionality with the Golden Config Browser. Customers building remediation Intents from Golden Assessment results would save time and avoid switching between modules to obtain rule paths.
NetBrain's audit log currently does not capture REST API call activity, so administrators have no way to determine how frequently or by which methods external systems or teams are invoking the API to retrieve data such as device or IP table information. This enhancement would extend audit logging to record REST API calls, including the endpoint invoked, the calling user or service account, and a timestamp for each call. Administrators would benefit from improved visibility into API usage across teams and integrations, supporting better governance and understanding of how external systems consume NetBrain data.
The Golden Config Generator does not currently offer a 'show in frontend' option, while this capability is already available for the Golden Intent Generator. This enhancement would extend the 'show in frontend' toggle to the Golden Config Generator, aligning its configuration options with those already provided for Golden Intent. Adding this consistency would give customers a uniform experience across golden engineering tools and reduce confusion when configuring visibility settings for generated content.
The Golden Config export function currently outputs only the device, current configuration, and golden configuration data, without including the missing lines or extra lines identified during the comparison. This enhancement would extend the export to include both missing lines and extra lines alongside the existing exported data. Customers reviewing compliance results outside the platform would gain complete visibility into configuration discrepancies without needing to cross-reference the export against the original comparison view.
NetBrain currently does not provide a way to export or propagate tags manually created on a Golden Feature or Golden Intent into the corresponding ADT Intent Column when that data is replicated. This enhancement would allow tags defined on the seed intent to automatically carry over into the ADT Intent Column upon replication. Enabling this tag propagation would allow customers to build and organize wrapper intents based on tag values, improving reusability and reducing manual re-tagging effort.
Building connectivity network diagrams that depict both primary and secondary paths currently requires manual plotting, which is time-intensive for individual diagrams and significantly more so for consolidated views covering multiple components. This enhancement would introduce automated generation of network diagrams that identify and display both primary and secondary connectivity paths for each connection, reducing reliance on manual layout work. Customers who must produce accurate connectivity diagrams for audit and project documentation purposes would gain substantial time savings and more consistent, repeatable diagram output.
NetBrain currently does not provide a way to explicitly associate Golden Configs and Golden Intents with specific Insight Categories, so all configured checks surface in Automation Insights regardless of relevance to a given category. This enhancement would allow administrators to map Golden Configs and Golden Intents to Insight Categories through YAML configuration or a GUI-based interface, ensuring only mapped items appear under their associated category. Restricting visibility to intentionally mapped content would reduce noise for end users, provide out-of-the-box alignment between automation content and user needs, and eliminate the need for customers to manually filter insights after deployment.
NetBrain currently does not support exporting Insight Categories together with the Global Assumption List (GAL), and there is no mechanism to map Golden Configurations or Golden Intents to Insight Categories during that export, whether through YAML or the GUI. This enhancement proposes adding the ability to include Insight Category assignments in the GAL export process and to define GC/GI-to-Insight-Category mappings using either a YAML configuration or a graphical interface. Customers managing Network Intent definitions would benefit from a more complete and portable export that preserves Insight Category classifications, reducing manual remapping effort when moving or replicating configurations across environments.
Insight Categories used to organize Golden Configs and Golden Intents currently support only a single, flat level of grouping. This limits the ability to model more complex organizational structures, such as grouping by region, device role, or business unit within a single category framework. This enhancement would introduce support for hierarchical, multi-layered Insight Categories, allowing categories to contain nested sub-categories for mapping Golden Configs and Golden Intents. Customers with large or complex environments would benefit from more granular and intuitive organization, making it easier to locate, manage, and report on compliance checks across different levels of their network.
NetBrain currently requires users to schedule automations one at a time by selecting an automation first and then mapping it to a timer, with no option to select a timer and then assign multiple automations to it in a single step. This enhancement would allow users to choose a timer and select multiple automations to run at that scheduled time, reversing the current automation-first workflow. Customers managing large sets of scheduled automations would benefit from faster setup and easier maintenance when grouping automations under shared execution schedules.
NetBrain currently only allows rebuilding an entire ADT column when intent replication needs to be refreshed, even if the issue affected only a small subset of devices. This means that when intent fails to replicate for a few unreachable devices, resolving the underlying connectivity issue still requires a full column rebuild to restore results, consuming unnecessary time and system resources. This enhancement would introduce an option to rebuild or re-run intent for a single selected device within the ADT, independent of the full column. Customers managing large device inventories would benefit from reduced processing overhead and faster recovery when only isolated devices require re-evaluation.
NetBrain currently requires users to manually create a global table with defined rows and columns before it can be set as the target table in the Merge Parsed Table with ADT function, adding setup complexity to an otherwise routine automation task. The merge function also provides no preview of its output, so users must build and run a diagnosis workflow just to confirm the merged results are correct. This enhancement would allow the merge function to automatically create the output table, similar to prior product behavior, and would add a preview capability so users can view merge results without executing a full diagnosis. Reducing setup steps and enabling faster validation would help customers build and troubleshoot automation more efficiently.
NetBrain currently does not populate the Runbook Document with results from all scheduled executions of an Intent when that Intent is configured to run multiple times at a defined interval; only the first execution's result is captured, even when the 'Last results' or time-window based result settings are configured. This enhancement would update Runbook Document generation to honor the configured result retention settings and include the results from every scheduled execution of the Intent, consistent with how manual multi-run executions are already captured. Providing complete execution history in the document would give operations teams full visibility into all scheduled diagnostic results for review, reporting, and audit purposes.
NetBrain currently requires removal of the entire Azure Cloud instance in order to release licenses associated with individual VNets, since there is no option to delete a specific VNet on its own. This enhancement would introduce the ability to select and delete individual VNets within an Azure Cloud instance, without impacting the remaining discovered resources. Customers managing large or evolving Azure environments would benefit from more precise license management and reduced administrative effort when decommissioning specific network segments.
NetBrain currently does not provide an API to add an application path directly into the Path Browser or AAM; this action must be performed manually through the user interface. This enhancement would introduce an API endpoint that allows an application path to be created and added to AAM programmatically. Customers automating network documentation and monitoring workflows would benefit from the ability to manage application paths without manual intervention, improving integration with external systems and reducing operational overhead.
NetBrain currently allows Intent Timers to be scheduled from the ADT intent column, but timers cannot be deleted or modified from that same location. Users must instead navigate to the Preventive Automation Manager to manage existing timers, which adds complexity given the number of menus and options across the platform. This enhancement would add a dropdown within the ADT intent column offering direct access to manage, modify, and delete Intent Timers without leaving the ADT view. Consolidating these actions into a single, easily discoverable location would reduce navigation effort and improve usability for customers who regularly maintain scheduled intents.
NetBrain currently applies the sensitive data encryption setting uniformly across the system, with no option to configure encryption differently for individual users or user groups. This enhancement would allow administrators to define and apply encryption settings for sensitive data on a per-user or per-user-group basis. Organizations with varying security or compliance requirements across teams would benefit from more granular control over how sensitive data is protected for different user populations.
NetBrain's Golden Intent currently does not provide a way to generate a CSV report of configuration comparison results without relying on an external intent, which adds unnecessary complexity for customers seeking straightforward reporting. This enhancement proposes a native CSV export option within Golden Intent that automatically populates Device Name, Golden Configuration, Running Configuration, Missing Lines, and Extra Lines for each device. Customers performing configuration compliance audits would benefit from a direct, simplified export path that removes the need for external intent workarounds and supports faster review of configuration discrepancies.
NetBrain currently does not provide an adapter to discover and model Oracle Cloud Infrastructure (OCI) resources, unlike its existing support for AWS, Azure, and GCP. This enhancement would add a dedicated OCI adapter to enable discovery, modeling, and topology mapping of OCI infrastructure consistent with other supported public cloud platforms. Customers running workloads on Oracle Cloud would gain complete visibility into their multi-cloud infrastructure without relying on manual workarounds.
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