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NetBrain's Golden Assessment Library currently does not include validated assessment content for Infoblox devices, which prevents these devices from being evaluated through Deep Diagnosis workflows. This enhancement would extend Golden Assessment Library coverage to include Infoblox devices, enabling standard configuration compliance checks for this platform. Customers operating Infoblox devices would benefit from consistent, out-of-the-box assessment coverage without needing to build and maintain custom checks.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Calix B-Series devices, leaving these devices without coverage in Deep Diagnosis workflows. This enhancement would extend the Golden Assessment Library to natively support Calix B-Series devices, enabling standard configuration compliance checks for this platform. Customers operating Calix B-Series devices would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Calix E-Series devices, leaving these devices without coverage in Deep Diagnosis and related assessment workflows. This enhancement would extend the Golden Assessment Library to natively support Calix E-Series devices, enabling standard configuration compliance and diagnostic checks for this platform. Customers operating Calix E-Series devices would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Casa Systems devices, leaving these devices without coverage when running Deep Diagnosis and Runbook Companion workflows. This enhancement would extend the Golden Assessment Library to natively support Casa Systems devices, enabling standard configuration compliance and assessment checks for this platform. Customers operating Casa Systems devices would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Arris CMTS devices, leaving these devices without coverage during Deep Diagnosis troubleshooting. This enhancement would extend Golden Assessment Library support to include Arris CMTS devices, enabling standard configuration compliance checks and assessment coverage for this platform. Customers operating Arris CMTS devices would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Open Aggregation Router devices, leaving these devices without coverage in Deep Diagnosis workflows. This enhancement would extend Golden Assessment Library support to include Open Aggregation Router devices, enabling standard configuration compliance checks for this platform. Customers operating Open Aggregation Router devices would benefit from consistent, supported assessment coverage without needing to build custom checks for these devices.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Cisco LWAP devices, leaving these devices without coverage in Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library support to include Cisco LWAP devices, enabling standard configuration compliance and assessment checks for this platform. Customers operating Cisco LWAP devices would benefit from consistent, supported assessment coverage without needing to build and maintain custom checks.
NetBrain's Golden Assessment Library currently does not include validated assessment content for devices using the A10 Load Balancer driver, preventing these devices from being evaluated through Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library coverage to include the A10 Load Balancer driver, aligning its support with other supported device types. Customers operating A10 Load Balancers would benefit from consistent, out-of-the-box configuration compliance and assessment coverage without needing to build custom checks.
NetBrain's Golden Assessment Library does not currently include validated assessment content for Fujitsu 1Finit Optical Transport devices, which prevents these devices from appearing in Deep Diagnosis workflows and leaves them without configuration compliance coverage. This enhancement would extend Golden Assessment Library support to include the Fujitsu 1Finit Optical Transport platform, enabling standard assessment checks consistent with other supported device types. Customers operating Fujitsu optical transport infrastructure would benefit from complete Deep Diagnosis coverage and consistent compliance checks without needing to build custom assessments.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Nokia OLT devices, leaving these devices without coverage in Deep Diagnosis workflows. This enhancement would extend Golden Assessment Library support to include Nokia OLT devices, enabling standard configuration and diagnostic checks for this platform. Customers operating Nokia OLT devices would benefit from consistent, supported assessment coverage without needing to build custom checks for this device type.
NetBrain's Golden Assessment Library currently does not include validated assessment content for IXR Router devices, leaving these devices without coverage in Deep Diagnosis workflows. This enhancement would extend Golden Assessment Library support to include IXR Router devices, enabling standard configuration compliance checks for this platform. Customers running IXR Routers would benefit from consistent, supported assessment coverage without needing to build custom checks for these devices.
NetBrain's Golden Assessment Library currently does not include validated assessment content for devices using the Adva Optical driver, leaving these devices without coverage in Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library support to include Adva Optical driver devices, enabling standard configuration compliance checks for this platform. Customers running Adva Optical equipment would benefit from consistent, supported assessment coverage without needing to build custom checks for these devices.
NetBrain's Golden Assessment Library currently does not include validated assessment content for Accedian NID devices, which prevents these devices from being recognized and evaluated during Deep Diagnosis troubleshooting workflows. This enhancement would extend Golden Assessment Library coverage to include the Accedian NID driver, aligning its support with other validated device types. Customers operating Accedian NID devices would benefit from complete and consistent diagnostic coverage across their network without gaps in Deep Diagnosis results.
NetBrain's Golden Assessment Library currently does not include validated assessment content for devices using the Ciena L3 Switch driver, preventing these devices from being evaluated through Deep Diagnosis and Runbook Companion workflows. This enhancement would extend Golden Assessment Library coverage to include the Ciena L3 Switch driver, aligning its support with other supported device drivers. Customers operating Ciena L3 switches would benefit from consistent, out-of-the-box configuration compliance and assessment coverage without needing to build custom checks for these devices.
NetBrain currently requires users to enter a literal IP address, and a port number when applicable, into the path destination field each time a path calculation is performed, offering no way to reference a destination by a friendly, memorable name. This enhancement would allow administrators to predefine named aliases that map to a specific IP address and port combination, so that users can enter the alias directly in the destination field and have NetBrain resolve it to the correct IP address and port. This would reduce lookup effort and input errors for frequently referenced destinations, improving efficiency for teams who repeatedly troubleshoot paths to the same critical systems.
Network Intent currently checks critical-variable availability before replication, preventing replication when required data is missing, but this same check does not apply at execution time. As a result, executing a replicated intent against an unreachable device or one that fails data collection causes the verification logic to treat missing data as a deviation, generating compliance warnings that do not reflect an actual configuration problem. This enhancement would extend the existing critical-variable availability check to execution, allowing execution to pass or return a distinct non-alerting status when required data cannot be retrieved, while reserving warnings for cases where data was collected and genuinely deviates from the intent. Consistent gating between replication and execution would reduce false positives caused by device unreachability, keep compliance alerts meaningful, and lower the manual effort required to distinguish unreachable devices from genuinely misconfigured ones.
The Python API documentation page is currently unavailable, leaving customers without direct access to reference material needed for building and maintaining integrations. This enhancement proposes restoring the documentation page and establishing a process to keep it updated as the API evolves. Reliable access to accurate documentation supports customers who depend on the Python API for automation and reduces friction in development and troubleshooting efforts.
NetBrain currently requires users to add ADT Intent columns to a Runbook one at a time, even when the desired intents originate from different Automated Data Tables. This enhancement would allow users to select and add multiple ADT Intent columns from different ADTs in a single action during Runbook configuration. Customers building Runbooks that reference several ADTs would benefit from reduced setup time and a more efficient configuration workflow.
The Path action node in Runbook automation currently accepts only source and destination as template variables, with no option to pass source port or destination port as inputs. This enhancement would extend the Path action node to accept source port and destination port as additional template variable inputs, alongside source and destination. Supporting full four-tuple input would allow automated, ticket-triggered path analysis to reflect the exact traffic flow being investigated, improving accuracy for customers running runbook-based triggered automation.
NetBrain currently does not provide a way to export database update log details for offline review or record-keeping. This enhancement would add an export function for the database update log, allowing administrators to save the log contents to a file. Customers responsible for maintaining update records and supporting audit or compliance reviews would benefit from being able to retain and share this information without manual data collection.
NetBrain's ServiceNow integration, when AI TAF is enabled, currently sends every incoming incident to Deep Diagnosis by default whenever no specific manual trigger definition exists, without any filtering based on incident content. This means incident data, including descriptions that may contain sensitive or personal information, can be forwarded for AI processing without customer control. This enhancement would introduce configurable filtering or an opt-in mechanism that lets customers define which incidents are eligible for automatic Deep Diagnosis processing, allowing exclusion of incidents likely to contain sensitive data. Customers in regulated industries, such as healthcare or human resources, would benefit from reduced risk of inadvertently transmitting sensitive information to third-party AI services, supporting their data privacy and compliance requirements.
NetBrain currently does not automatically add Automated Data Tables (ADTs) and Golden Intents delivered through library installations to a tenant's AI settings. As a result, administrators must manually configure these settings before Deep Diagnosis can recognize and use the newly installed content. This enhancement would allow ADTs and Golden Intents included in installed libraries to be automatically reflected in the tenant's AI settings at the time of installation. Automating this step would reduce manual configuration effort and allow customers to make immediate use of installed library content within Deep Diagnosis workflows.
Network Intent currently requires users to manually expand or collapse each condition within a diagnosis individually, which becomes time-consuming when a diagnosis contains a large number of conditions. This enhancement would add Expand All and Collapse All controls at the diagnosis level, allowing all conditions to be opened or closed in a single action. Customers building or reviewing complex diagnoses with many conditions would benefit from reduced manual effort and faster navigation through diagnosis logic.
Pre and post checks for remediation actions currently support only command-based or template-based validation, with no option to include Network Intent as a check type. This enhancement would allow Network Intent to be configured as a pre and post check, so the intent logic can validate network state before remediation and confirm resolution after remediation completes. Running the intent as part of these checks would also ensure that dashboards and runbooks reflect updated and accurate results following remediation, giving customers greater confidence that automated actions produced the intended outcome.
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