NetBrain Feature Requests
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1146 Ideas
Machine learning-based anomaly detection for Golden Baseline and Network IntentOn the Roadmap
Configuring and maintaining Golden Baseline and Network Intent checks today requires customers to manually define specific thresholds and rules for what constitutes a deviation from normal behavior. This setup and ongoing maintenance can be complex, particularly for customers who want to detect meaningful changes without specifying exact numeric or logical criteria in advance. This enhancement would introduce a machine learning-based option for Golden Baseline and Network Intent that automatically learns normal network behavior and flags deviations without requiring manually defined thresholds. Customers would benefit from reduced setup and maintenance effort while gaining more adaptive and accurate detection of meaningful changes in their network environment.
Preserve Server-Level Customizations During UpgradeOn the Roadmap
NetBrain currently does not retain manually applied server-side customizations, such as Front Server configuration adjustments or worker server memory settings, when the system is upgraded. As a result, administrators must rediscover and reapply these changes after every upgrade, and the details of prior adjustments are often not documented anywhere in the system. This enhancement proposes a mechanism to capture, preserve, and automatically reapply approved server-level customizations across upgrade cycles, or at minimum to surface a record of prior changes so they can be reapplied efficiently. Retaining these settings would reduce repeated troubleshooting effort and prevent recurring downtime for customers who rely on tuned server configurations for expected system performance.
Exclude Specific Benchmark Tables for Selected DevicesOn the Roadmap
NetBrain currently allows users to exclude an entire device or device group from data retrieval, but there is no option to exclude a specific table for select devices while still retrieving other data for those devices. This enhancement would add the ability to configure table-level exclusions on a per-device basis, allowing a problematic table to be skipped for specific devices without disabling data collection entirely. Customers who encounter recurring issues with a particular table on certain devices would benefit from more granular control, reducing unnecessary retrieval failures while preserving visibility into other relevant device data.
Export Path Calculation Results with Snapshot to Word or VisioOn the Roadmap
NetBrain currently does not provide a way to export a path calculation result, along with its associated snapshot, into a shareable document format such as Word or Visio. This enhancement proposes adding an export option that captures the path result and its snapshot directly into Word or Visio output. Customers would benefit from being able to share path analysis findings with colleagues who do not have access to the NetBrain client, reducing dependency on live sessions for collaboration and review.
Include System Version and License Details in Log CollectionOn the Roadmap
NetBrain currently does not include system version, release, knowledge base, and license identification details within collected log files. Troubleshooting often requires this information, and support teams must gather it manually from the About NetBrain window. This enhancement would automatically capture and include these details in exported logs. Customers would benefit from faster and more complete log collection during troubleshooting, reducing the need for manual data gathering.
Bulk Apply Network Intent Definition Across Multiple DevicesOn the Roadmap
NetBrain currently requires users to select a parser and re-define intent logic separately for each device when building a Network Intent, even when the same logic should apply across many devices. There is no streamlined way to define a Network Intent once and apply the identical parser and definition to a list of devices, a device group, or similar device selections in a single step. This enhancement would allow a Network Intent to be created and configured on one device, then applied directly to additional devices selected from a list or device group, reusing the same parser and definition without manual re-configuration. Reducing repetitive setup would improve the efficiency of building Network Intents at scale and increase the practical value of intent-based automation for customers managing large device inventories.
Display Credential Format Requirements on Installation Interactive PageOn the Roadmap
NetBrain currently documents username and password format limitations for database and Linux components only in reference documentation, which many users do not review in full before installation or upgrade. As a result, invalid credentials are frequently entered, leading to deployment and upgrade failures that require support intervention. This enhancement would surface the applicable username and password limitations directly on the interactive installation page, near the corresponding input fields, so users see the constraints at the point of entry. Making this information visible during setup would reduce avoidable deployment blockers and lower the support effort associated with resolving invalid credential issues.
Granular (Re)Generate Option for Golden Config Command OverridesOpen
NetBrain's Golden Config Command feature currently offers only an Enable/Disable control for the entire override set. When a customer needs to correct or add an override for a single device model, the current workflow requires disabling the entire feature, which resets all valid results to errors, and then re-enabling it, with each step taking significant time. This enhancement would introduce a (Re)Generate action scoped to a specific model within Domain Management/Advanced Settings, allowing an override update to take effect without disabling and re-enabling the full feature. This would reduce processing delays and prevent unnecessary disruption to valid results across unrelated device models, improving efficiency for customers managing overrides at scale.
Enforce Match Condition Evaluation for API-Supplied Category in Triggered AutomationAvailable
When a triggered automation API call includes a category data field, the system currently bypasses match condition evaluation and applies the provided category directly, rather than checking it against configured match conditions. This behavior prevents customers from restricting automated diagnosis triggers to only those issues that meet defined criteria when the integrated third-party system always supplies a category value. This enhancement proposes adding an option to enforce match condition evaluation even when an API-provided category is present, so the system can determine trigger eligibility based on configured conditions rather than defaulting to the supplied value. Supporting this option would give customers finer control over which incoming events trigger diagnoses, reducing unnecessary automation runs from integrations that always populate the category field.
Web GUI-Based Device Access Support for CLI/API-Restricted DevicesNot Planned
NetBrain currently requires devices to be accessible via CLI or API to be fully onboarded and managed within the platform; devices reachable only through SNMP and a web-based GUI cannot be fully supported and are limited to partial data collection. This enhancement would introduce a supported access method that allows NetBrain to interact with devices through their web GUI when CLI and API access are unavailable. Customers using devices that expose only SNMP and web management interfaces would gain more complete device visibility and management capability without relying on manual workarounds.
Lock Saved Prompts in Deep Diagnosis to Prevent EditingOpen
NetBrain currently does not provide a way to lock a saved prompt within the Deep Diagnosis module, leaving it open to unintended edits once created. This enhancement would add a lock option for saved prompts, preventing modification unless explicitly unlocked by an authorized user. Locking saved prompts would allow administrators to safely delegate their use to junior engineers without risking accidental changes to established diagnostic logic.
Native Support for Zscaler Zero Trust Branch (ZTB) and Dynamic CGNAT IP Environments in DiscoveryOpen
NetBrain's discovery and polling processes currently depend on stable, consistently assigned IP addresses and run on a fixed twice-daily schedule, which limits accuracy in environments using dynamic addressing schemes such as CGNAT. This creates gaps in device visibility when IP addresses change more frequently than the discovery cycle can account for. This enhancement would add native support for Zscaler Zero Trust Branch architecture, including discovery and polling logic that accommodates dynamic CGNAT-assigned IP addresses, with scheduling options aligned to DHCP lease timing or FQDN-based device tracking. Customers adopting zero-trust network architectures at distributed or high-risk locations would benefit from continued network visibility and uninterrupted runbook and topology workflows during and after migration.
Golden Assessment Library Support for Dell Force10 SwitchesOpen
NetBrain does not currently provide Golden Assessment Library coverage for devices using the Dell Force10 Switch driver, preventing customers from running Deep Diagnosis and Runbook Companion assessment checks against this platform. This enhancement would extend Golden Assessment Library content to include validated support for Dell Force10 Switch devices. Customers operating Dell Force10 switches would benefit from consistent, out-of-the-box configuration compliance and assessment coverage without needing to build custom checks.
Golden Assessment Library Support for Dell Networking SwitchesOpen
NetBrain's Golden Assessment Library currently does not include validated assessment content for devices using the Dell Networking Switch driver, leaving these devices without coverage in Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library support to include Dell Networking Switch driver devices, enabling standard configuration compliance checks for this platform. Customers running Dell Networking Switches would benefit from consistent, supported assessment coverage without needing to build custom checks for these devices.
Golden Assessment Library support for Dell EMC Switch driverOpen
NetBrain's Golden Assessment Library currently does not include devices using the Dell EMC Switch driver, which prevents these devices from being evaluated through Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library coverage to include the Dell EMC Switch driver, aligning its support with other supported device drivers. Customers operating Dell EMC switches would benefit from consistent assessment coverage across their network, without gaps in automated diagnostics for this device type.
API Access to NetBrain Change Record URL for ServiceNow Change LinkingOpen
NetBrain currently does not provide an API method to retrieve the URL of a specific Change record, which prevents that URL from being included in a corresponding ticket created in an external system such as ServiceNow. This enhancement would add an API endpoint or field that returns the direct URL to a NetBrain Change record, allowing integrations to embed that link within external change or incident tickets. Customers using automated remediation workflows that raise tickets in third-party systems would benefit from being able to navigate directly from the external ticket to the associated NetBrain Change record, improving traceability and reducing time spent searching for the corresponding change.
CVSS Base Score Filter and Grouping for CVE DashboardAvailable
The CVE dashboard currently displays vulnerability alerts without a means to group or filter them by CVSS Base Score. This enhancement would add a filter or grouping option based on standard CVSS severity bands, allowing users to select one or more bands and view a summarized count of alerts per tier. Customers responsible for vulnerability remediation would gain the ability to quickly prioritize Critical and High severity alerts rather than manually reviewing the full alert list.
Configurable default for 'Use Active Cache' option in RunbooksOpen
NetBrain Runbook nodes currently default to having the 'Use Active Cache' option checked, and there is no administrative or global setting to change this default behavior. Users must manually uncheck this option on each node to ensure data is retrieved live rather than from cache. This enhancement would introduce a configurable setting that allows administrators to control the default state of 'Use Active Cache' across Runbooks. Customers who require live-data-only execution by default would benefit from reduced manual effort and lower risk of inadvertently running diagnostics against stale cached data.
Automatic Re-Discovery for Devices with Failed Discovery AttemptsOn the Roadmap
NetBrain currently has no automated mechanism to detect and retrigger devices that fail discovery due to accessibility or similar issues; failed discoveries require manual identification and re-initiation, which can cause the live inventory to drift out of sync with actual network state. This enhancement proposes introducing a flag-based tracking mechanism that records the success or failure state of each device discovery attempt and automatically retriggers discovery for devices flagged as failed, without requiring manual intervention. Customers managing large or frequently changing environments would benefit from improved inventory accuracy and reduced operational overhead from manually tracking and re-running failed discoveries.
API for Closing NetBrain Incidents on ServiceNow Ticket ClosureOpen
NetBrain currently does not provide a REST API capability to close a NetBrain incident based on the closure status of its corresponding ServiceNow ticket. This enhancement would introduce an API endpoint or automation trigger that closes the associated NetBrain incident when the linked ServiceNow ticket is marked closed. Customers integrating NetBrain with ServiceNow would benefit from synchronized incident lifecycle management, reducing manual effort and eliminating discrepancies between the two systems.
PDF Export for AI Analysis and Runbook Diagnostic ResultsOpen
NetBrain currently does not provide a way to export AI analysis results, including AI Bot and Deep Diagnosis output, or runbook analysis data, in a non-editable document format such as PDF. This enhancement proposes adding a native export option that generates AI analysis and runbook analysis results as a locked, non-editable PDF file. Customers who must submit these results for internal and external audits require documentation that cannot be altered after export, and this capability would eliminate reliance on manual workarounds to meet compliance requirements.
Discovery and Mapping Support for AWS Kubernetes (EKS)Open
NetBrain currently does not support discovery and mapping of AWS Kubernetes environments, resulting in gaps in topology visibility where Kubernetes-managed resources reside. This enhancement would add native discovery, modeling, and topology mapping capabilities for AWS Kubernetes clusters and their associated networking constructs, consistent with existing support for other AWS resources. Customers running containerized workloads on AWS Kubernetes would gain complete end-to-end visibility into their network architecture without encountering unmapped or unknown segments.
Third-party integration with ExtraHop for packet analysis during path traceOpen
NetBrain currently does not offer an integration with ExtraHop for packet-level analysis during path trace operations. This enhancement would allow a path trace, when run with a specified TCP port and time frame, to invoke ExtraHop for corresponding packet analysis on the relevant path segment. Customers troubleshooting network issues would gain the ability to correlate path trace results with packet-level detail from ExtraHop, reducing the need for manual cross-referencing between tools.
Day and Time-Based Scheduling for Dashboard AlertsOpen
Dashboard alert scheduling currently supports only fixed recurring intervals, such as every 24 hours or every 7 days, and does not allow alerts to be scheduled for specific days of the week or month at a designated time. This enhancement would add the ability to configure Dashboard alert schedules for specific weekdays or specific days of the month, paired with a designated time, such as every Monday at 8:00 AM or the first day of each month at 9:00 AM. This would allow customers to align alert notifications with their operational and reporting schedules, reducing unnecessary alerts outside of relevant business windows and improving the relevance of alert timing.
Automated access and reachability analysis for a given endpointOpen
NetBrain currently does not provide a way to quickly determine everything a given application server or workstation can reach across the environment, such as destination systems, applicable firewall rules, or a visual access map. Architects and security teams must manually piece this together using multiple tools and manual analysis. This enhancement would introduce a capability, potentially leveraging automation or AI-assisted analysis, to generate a list of reachable destinations, applicable firewall rules, or a visual map of access for a specified source device. Customers responding to security and architecture review questions would gain faster, more reliable access visibility without relying on manual, time-consuming investigation.
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