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Hi NetBrain Team,While we embrace the agentic AI capability brought by NetBrain, I am wondering if NetBrain complies to any AI standards such as ISO 42001 and ISO 42005 as below:ISO/IEC 42001 - The world’s first AI management system standard, providing valuable guidance for this rapidly changing field of technology. It addresses the unique challenges AI poses, such as ethical considerations, transparency, and continuous learning. For organizations, it sets out a structured way to manage risks and opportunities associated with AI, balancing innovation with governance.ISO/IEC 42005 - AI technologies are rapidly reshaping industries, economies and daily life — offering immense benefits, but also raising ethical, social and environmental concerns. ISO/IEC 42005 plays a crucial role in ensuring these impacts are responsibly addressed. By guiding organisations through structured impact assessments, it enables them to align AI development with values such as fairness, safety, and human-centre

Some of the hardest compliance gaps are not caused by missing policies, but by outdated, incomplete, or after-the-fact evidence. For financial IT teams, that creates risk across resilience testing, third-party ICT oversight, and incident documentation, all of which depend on records that reflect the live network, not last quarter’s snapshot.These gaps often show up in three areas:Resilience TestingTesting needs to be designed against the actual production environment. Static diagrams and manual topology snapshots can quickly become stale when changes happen across the network.Third-Party ICT RiskCloud circuits, ISPs, and colocation environments all support critical services. They need continuous visibility, not periodic checks or disconnected vendor documentation.Incident EvidenceIncident timelines, diagnostic actions, and root-cause details should be captured as the response unfolds. Evidence rebuilt after the incident rarely tells the full story.NetBrain shows how automation supports

We make intensive use of NetBrain's assessment capabilities, often marking checks as ether success or fail and using NetBrain’s dashboard technology to consume results, giving the Red and Green dashboard colours. In some cases, when an ambiguous result arises (needing a manual review), we can’t mark it as either a success or fail. Instead, it should be flagged as a notification or a warning message in a new separate colour, such as yellow.  All other customers making use of NetBrain’s assessments and dashboards would benefit from this.

Now that I know that NetBrain can process C# statements for text searching and parsing, I’m trying to create logic that supports Regex patterns.The native NetBrain functions and the C# method all seem to work with fixed text and string variables but not Regex patterns.ReplaceByRegex can search for patterns, but it is limited by when it can be used.Has anyone been able to construct a C# Regex command that uses patterns to search and parse strings?

Energy teams are being asked to support more complexity with faster response times, stronger compliance, and fewer blind spots.CenterPoint Energy’s story shows how network automation can help teams simplify operations, improve visibility, and bring more consistency into troubleshooting and day-to-day network management.Instead of relying only on manual investigation, teams can use NetBrain to capture network knowledge, automate repeatable workflows, and give engineers a clearer view of what is happening across the environment.For teams supporting critical infrastructure, that consistency matters — especially during incidents, changes, and high-pressure operational moments.Question for the community:What part of network operations would your team benefit from automating first: diagnostics, documentation, change checks, or incident response?

I have created a basic parser using a show interface command, the parser is stored in the shared folder of the parser library and is created properly. I created a network intent for the exact same command (show interface) yet when i try to load my parser into the intent, Netbrain cannot see it. I’ve tried searching by parser name, CLI command, no matter what i do my parser is never found. If anyone has any ideas please feel free to share them!Thanks.  

I’m learning NetBrain.I recently learned how to use a variable method to perform a substring operation on a variable, ex. $Stringvar1.Substring(0,2)After discoverying that that operator worked, I tried to use a “length” method to obtain the number of characters in a string variable. Again an example is: $Stringvar1.lengthThis also worked.The next thing I want to find is a function that searches a string variable for a character or substring and returns the starting postition.The Python string methods for “find” or “index” don’t seem to function.The NetBrain function “find” doesn’t return the search pattern in the target string only a boolean value.Is there a function or method that will return the numerical position of character pattern in a string variable?

Regulatory resilience is not handled by one control, one report, or one team. For financial IT and network operations, it requires ongoing monitoring, testing, documentation, and evidence that is ready for review.DORA’s five ICT resilience pillars create ongoing operational requirements across ICT risk management, incident reporting, resilience testing, third-party oversight, and information sharing.NetBrain helps teams turn these requirements into repeatable workflows that support continuous visibility, current evidence, and audit-ready documentation.Here’s how NetBrain supports each area:ICT Risk ManagementNetBrain auto-discovers ICT assets across hybrid environments and continuously validates configurations against your intended design.ICT Incident ReportingDeep Diagnosis captures diagnostic actions in real time, with timestamped evidence that can be connected to your ITSM workflow.Digital Operational Resilience TestingScheduled and on-demand assessments help teams test resilience a

 Golden Assessment Library OverviewModern enterprise networks are too complex, dynamic, and vendor-diverse to rely on manual auditing. The Golden Assessment Library (GAL) is engineered to transform network assessment from a reactive chore into an autonomous, continuous process. The overarching mission of GAL is to proactively prevent outages and ensure optimal performance and availability across your infrastructure.  At its core, GAL provides comprehensive assessment coverage by evaluating both configuration design consistency and critical operational health indicators across the network. It establishes a unified, data-driven automation framework that provides deep, structured visibility into network health across a wide range of technologies—covering L2/L3 routing and switching, Quality of Service (QoS), High Availability (HA) redundancy, SDN/SD-WAN fabrics, and Cloud environments.  GAL is powered by two foundational capabilities: •    Assessment Rules: These continuously evaluate the