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NetBrain currently displays the Next Hop IP as static text within data table results, requiring users to manually note the address and search for or add the corresponding neighbor device to the map. This enhancement would make the Next Hop IP field clickable, triggering an action that attempts to add the referenced device directly onto the current map. Customers tracing network paths or troubleshooting connectivity would benefit from a faster, more direct workflow when moving from a data table entry to the corresponding device on the map.
Network Intent input variables currently cannot be defined using data that has already been collected and stored in a Data View through a System Benchmark task, such as an interface CRC value. Users must rely on separate data collection or manual variable definition even when the needed value already exists in an existing Data View dataset. This enhancement would allow Network Intent input variables to be defined directly from Data View columns populated by System Benchmark, enabling reuse of previously collected data without redundant collection steps. Customers who maintain Data Views through System Benchmark would gain a more efficient way to build Intents on top of existing data, reducing setup effort and improving consistency between collected data and Intent logic.
Network Intent currently does not allow a Name Rule to incorporate a variable value, limiting naming to static text. This enhancement would add an option to insert a parsed or defined variable into the Name Rule field, allowing generated names to reflect dynamic data such as device attributes or environment identifiers. Supporting variables in Name Rule would give customers greater flexibility in organizing and distinguishing intent results across different environments or configurations without manual renaming.
NetBrain's AI Insights currently does not support uploading external documents such as PDF, Word, or PowerPoint files for evaluation within the AI analysis process. This enhancement would add the ability to upload these document formats directly into AI Insights so their content can be incorporated into AI-driven analysis and recommendations. Customers would benefit from being able to combine external documentation with network data, reducing manual effort to consolidate information before AI evaluation.
NetBrain currently triggers an alert as soon as a diagnostic condition is met, without a way to confirm that the condition persists over time or to re-check it at defined intervals. This can result in alerts being generated from brief, transient spikes rather than sustained issues. This enhancement would introduce a configurable option to require a condition to persist for a defined duration before an alert is triggered, along with an option to automatically re-evaluate the diagnosis at set intervals. Supporting persistence and interval-based re-checking would reduce false-positive alerts and help ensure that notifications reflect genuine, sustained performance issues.
NetBrain path calculation currently cannot distinguish between two devices that share identical IP configuration, such as a production device and its disaster recovery counterpart, unless the L3 Active path calculation option is enabled. Without that option, the calculation may present a path to a device that does not actually carry the traffic, since it relies on IP-based matching rather than the ARP-derived MAC address that identifies the true next hop. This enhancement would extend the default path calculation logic to check ARP table entries on the previous hop device and use the resolved MAC address to identify the correct next hop, applying this logic even when L3 Active path calculation is not selected. Customers with redundant or DR device pairs sharing the same IP addressing would gain accurate path visualization without needing to enable a more resource-intensive calculation option, reducing troubleshooting time and improving confidence in the displayed path.
NetBrain path calculation currently displays standby (passive) firewall devices in path results even though these devices do not carry live traffic, since failover has not occurred. This can create confusion when reviewing a path, as the standby device appears as an active hop despite not participating in actual traffic flow. This enhancement would allow path calculation to identify standby firewalls and exclude them from the displayed path result, regardless of branch or topology. Customers troubleshooting network paths would gain a more accurate representation of real traffic flow, reducing the time spent distinguishing active devices from standby ones during analysis.
NetBrain currently exports and imports parser-level data within library ZIP files in a readable form, without any mechanism to obscure content that may include customer-specific details embedded in parser definitions. When libraries are reused or modified across environments, this creates a risk that one customer's sensitive information could be inadvertently exposed to another customer. This enhancement proposes applying an obfuscation method, such as a reversible encoding transformation, to parser-level data during library export, with corresponding decoding during import, while preserving the underlying data structure. Customers would benefit from reduced risk of unintended exposure of sensitive information when libraries are shared, transferred, or modified across accounts.
The GES log currently does not display the intent name or execution path associated with each log entry, making it difficult to trace which intent generated a given log line. In addition, there is no option to export the GES log for offline review or sharing. This enhancement would update the GES log to include the intent name and path for each entry, and add a log export function so the full log can be saved to a file. Customers troubleshooting intent execution issues would benefit from clearer log context and the ability to share exported logs with support or team members without manual copying.
The Device Group edit window does not currently display the Dynamic Search criteria used to define group membership, requiring users to export the group to a CSV file to view this information. This becomes time-consuming when reviewing criteria across multiple groups. This enhancement would surface the Dynamic Search criteria directly within the Device Group edit window, similar to how criteria are displayed in the Site Creation window. Customers managing many device groups would benefit from faster, more direct visibility into group definitions without needing to export data.
NetBrain currently requires users to navigate between separate interfaces, the Template Manager and Template Profile Manager, to complete folder and profile creation when templatizing a troubleshooting process, and it also requires Save and Publish to be performed as two distinct actions rather than a single combined step. This fragmented workflow can cause users to lose track of a saved template or abandon the templatizing process altogether. This enhancement would introduce an inline capability to create a folder or profile without leaving the active save workflow, along with a combined Save and Publish action that allows users to select or create a folder and profile in one step. Reducing the number of screens and clicks required would encourage more consistent use of runbook templatization and reduce user frustration during time-sensitive troubleshooting scenarios.
NetBrain Runbooks currently have no native way to search device configuration or command output for a specific text string; achieving this today requires building a custom QApp to query and filter the underlying data. This enhancement would introduce a Search node within the Runbook canvas that accepts a search string as input and returns the devices where the string is found, along with a configurable number of context lines before and after each match, similar to a grep function. Adding this capability directly to Runbook would remove the need for custom scripting, make troubleshooting workflows more self-contained, and support Runbooks that are triggered from external systems as part of an automated process.
NetBrain currently does not preserve the configured data type of an Automated Data Table (ADT) field when that field is referenced within a Network Intent. A field set to the Device type in the ADT is instead evaluated as a string when consumed by the intent, causing a type mismatch. This enhancement would ensure that Network Intent correctly recognizes and preserves the original ADT field data type, including Device type, when referencing ADT values. Maintaining accurate type handling would reduce automation errors and eliminate the need for manual workarounds when building device-type based intent logic.
NetBrain currently does not support discovery and topology mapping of Hitachi Tropos SuprOS gateway devices used to bridge wired switches across an RF wireless mesh network, resulting in broken Layer 2 and Layer 3 topology continuity where a mesh segment sits between two connected switches. This enhancement would add a discovery and benchmark driver for Tropos SuprOS gateway devices, enabling NetBrain to identify these devices and correctly map the mesh-connected links on topology maps. Customers operating wireless mesh backhaul networks would gain continuous, accurate end-to-end topology visibility across mesh segments without relying on manual link creation or workarounds.
NetBrain does not currently provide a way to test connectivity from multiple Front Servers to a defined set of target devices and report the results of ping, SNMP, and CLI (including login) checks in a single view. This enhancement would add a connectivity test report that lets a user select a device list, group, or CSV of devices, run ping, SNMP, and CLI tests from each available Front Server to those devices, and view the pass/fail results per Front Server and device. Customers undergoing network migrations or infrastructure changes would benefit from being able to validate which Front Servers can reach which devices ahead of time, helping ensure uninterrupted communication and reducing the risk of unexpected connectivity loss during and after migration.
NetBrain currently allows users to multi-select and restart pending data migration tasks in bulk, but certain individual entries do not display a start option, leaving deletion as the only available action for that entry. This enhancement would extend the restart action to individual pending migration entries so the same start capability available in multi-select scenarios is consistently accessible for single entries. Customers managing data migration tasks would benefit from being able to resume a specific pending entry without deleting and recreating it, reducing administrative effort and avoiding unnecessary data loss.
NetBrain does not currently offer a native or certified integration with Dynatrace, a widely used application performance monitoring platform. This enhancement would add a supported integration that allows NetBrain to exchange device and monitoring data with Dynatrace, enabling cross-referencing of network visibility data with application performance insights. Customers evaluating or running Dynatrace alongside NetBrain would benefit from consolidated visibility across network and application layers, reducing manual effort in correlating data between the two platforms.
NetBrain currently schedules network change tasks using a single system or default time reference, requiring users to manually calculate offsets when working across time zones. In addition, the product does not validate command syntax when defining change commands, so entries with typographical errors, such as an incorrect command form, are not flagged before execution. This enhancement would add a configurable time zone setting for network change scheduling, allowing tasks to be scheduled directly in a user's local time zone without manual conversion. It would also introduce syntax or typo detection when change commands are defined, alerting users to likely command errors before they are applied. These additions would reduce scheduling errors across distributed teams and lower the risk of failed or incorrect command execution during network changes.
NetBrain currently provides a function to determine the subnet of a given IP address, but does not offer the reverse capability of expanding a subnet into its list of individual IP addresses. This limitation requires users to manually enumerate IP addresses within a subnet when building automation scripts. This enhancement proposes adding a Network Intent function that accepts a subnet as input and returns all IP addresses contained within it. Customers building automated test workflows, such as dynamically pinging all critical IP addresses in a subnet, would benefit from reduced manual configuration and more reliable, scalable automation.
NetBrain currently does not provide a way for external systems to populate an Automated Data Table (ADT) through the API. Users must manually enter or import IP address lists into an ADT before automation can act on that data. This enhancement would introduce a REST API endpoint that allows external systems to write or update ADT contents, such as a list of IP addresses, so that NetBrain can immediately operate on the supplied data. Customers running triggered automation workflows would benefit from being able to feed data into NetBrain programmatically, removing the need for manual data entry and enabling tighter integration with external systems.
NetBrain currently requires administrators to manually run Tune Live Access or Re-validate from Shared Settings whenever SNMP or SSH connectivity fails, since the daily system benchmark only checks SSH credentials and does not validate SNMP. This enhancement would add a GUI option to schedule Tune Live Access or Re-validate as a recurring task, similar to other scheduled system tasks. Customers who rely on automated data collection and live network access would benefit from reduced manual intervention and faster recovery from intermittent connectivity failures.
NetBrain Change Management currently does not support pushing configuration changes to devices managed through Aruba Central via its API, requiring customers to rely on manual, out-of-band processes for these devices. This enhancement would extend Change Management to integrate with the Aruba Central API, enabling configuration changes to be pushed and tracked in the same manner as other supported device platforms. Customers managing Aruba Central environments would benefit from consistent, automated change workflows and reduced manual effort in maintaining device configurations.
NetBrain parser execution currently cannot process commands that require privilege elevation, such as commands prefixed with 'sudo' on Linux-based network operating systems. When a device requires a password prompt to complete an elevated read-only command, the parser task fails or cannot proceed without a supported way to supply and respond to that credential challenge. This enhancement would allow the parser to detect a sudo or similar elevation prompt and automatically supply the configured device credentials to complete execution. Supporting this capability would allow customers running Linux-based network operating systems to automate log and data collection tasks that rely on privilege-elevated commands, removing the need for manual workarounds.
NetBrain currently allows users to select Generate NCT Table and View NCT Table options when right-clicking an Internet Cloud object in the cloud manager, even though these options are only intended to function for MPLS L3 VPN cloud types. This enhancement would remove or disable the Generate NCT Table and View NCT Table menu options when the selected cloud object type is Internet Cloud. Customers configuring cloud objects would benefit from a cleaner, more accurate interface that only presents actionable options relevant to the selected cloud type, reducing confusion during topology configuration.
NetBrain currently allows the MAC Table retrieval method for a device driver to be set to 'None' only through a direct database change, rather than through a supported configuration option, even when a device driver variant does not have a MAC table to retrieve. This enhancement would expose the retrieval method selection, including a 'None' option, as a standard configurable setting for applicable device drivers. Customers managing devices with driver variants that differ in MAC table availability would be able to configure retrieval behavior correctly without relying on unsupported database modifications, reducing configuration errors and support effort.
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