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NetBrain Announces Next Gen Release 3 with Continuous Network Assessment

NetBrain Technologies announced the availability of the third release of Next-Gen, its flagship no-code network automation platform.

Next-Gen now includes NetBrain’s new Continuous Network Assessment (CNA) technology. This revolutionary new technology enables organizations to transform their operational approaches into executable automation in minutes, and to view and maintain the hybrid network using collaborative drill-down summary dashboards.

Continuous Network Assessment and its associated summary dashboard engine enable clients to automate network-wide assessments of their core infrastructure including operational status, security, config drift and change, bandwidth capacity and more.

CNA allows customers to visualize the integrity of the network and its service delivery capabilities by answering questions like:

- What’s changed in my network and have my required configurations drifted?

- Is my network healthy and supporting each of the needs of our applications?

- Are my cloud services being delivered at the level needed by the business?

- Do I have security, NIST or CVSS vulnerabilities?

- Are past problems re-occurring anywhere in the network?

- Am I running out of capacity anywhere across the hybrid network?

CNA continuously assesses and validates any number of points across the hybrid network and organizes these points into clear summary dashboards. These dashboards can be created on the fly and then used to collaboratively navigate network investigations. They precisely visualize the status and where specific issues may be occurring, with natural groupings as needed. Additionally, engineers can create a summary dashboard of each incident in one click for collaborative troubleshooting with activities organized by triggered events, Level 1 and Level 2 network operations center engineers.

“Release 3 introduces our Continuous Network Assessment technology which changes the way organizations approach network operations. It enables each problem incident, every policy and rule enforcement, and every change process to be addressed through automation,” said Song Pang, SVP of Engineering at NetBrain. “By leveraging our new CNA technology and our advanced summary dashboards, troubleshooting becomes collaborative and streamlined, outage prevention becomes a regular part of the standard operating procedures, and changes are made in a protected fashion. CNA changes the very fundamentals of how networks are operated, becoming machine-centric rather than continuing to be labor-intensive.”

Other major improvements included in Release 3:

- Virtual assessments: NetBrain can use extracted configuration data allowing sensitive and off-line infrastructure to be part of the network assessment process.

- Enhanced Intent Scheduler: Network assessment now runs more efficiently, aligning the frequency of polling to the importance of each part of the hybrid infrastructure.

- Intent Creation improvements: Includes significant improvements to NetBrain’s no-code user interface and a Quick Parser that simplifies automation intent building for end users, reducing learning and usage barriers while leveraging their knowledge and experience.

Continuous Next-Gen Release 3 is available now to all customers with active subscriptions or maintenance contracts at no additional charge.

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NetBrain Announces Next Gen Release 3 with Continuous Network Assessment

NetBrain Technologies announced the availability of the third release of Next-Gen, its flagship no-code network automation platform.

Next-Gen now includes NetBrain’s new Continuous Network Assessment (CNA) technology. This revolutionary new technology enables organizations to transform their operational approaches into executable automation in minutes, and to view and maintain the hybrid network using collaborative drill-down summary dashboards.

Continuous Network Assessment and its associated summary dashboard engine enable clients to automate network-wide assessments of their core infrastructure including operational status, security, config drift and change, bandwidth capacity and more.

CNA allows customers to visualize the integrity of the network and its service delivery capabilities by answering questions like:

- What’s changed in my network and have my required configurations drifted?

- Is my network healthy and supporting each of the needs of our applications?

- Are my cloud services being delivered at the level needed by the business?

- Do I have security, NIST or CVSS vulnerabilities?

- Are past problems re-occurring anywhere in the network?

- Am I running out of capacity anywhere across the hybrid network?

CNA continuously assesses and validates any number of points across the hybrid network and organizes these points into clear summary dashboards. These dashboards can be created on the fly and then used to collaboratively navigate network investigations. They precisely visualize the status and where specific issues may be occurring, with natural groupings as needed. Additionally, engineers can create a summary dashboard of each incident in one click for collaborative troubleshooting with activities organized by triggered events, Level 1 and Level 2 network operations center engineers.

“Release 3 introduces our Continuous Network Assessment technology which changes the way organizations approach network operations. It enables each problem incident, every policy and rule enforcement, and every change process to be addressed through automation,” said Song Pang, SVP of Engineering at NetBrain. “By leveraging our new CNA technology and our advanced summary dashboards, troubleshooting becomes collaborative and streamlined, outage prevention becomes a regular part of the standard operating procedures, and changes are made in a protected fashion. CNA changes the very fundamentals of how networks are operated, becoming machine-centric rather than continuing to be labor-intensive.”

Other major improvements included in Release 3:

- Virtual assessments: NetBrain can use extracted configuration data allowing sensitive and off-line infrastructure to be part of the network assessment process.

- Enhanced Intent Scheduler: Network assessment now runs more efficiently, aligning the frequency of polling to the importance of each part of the hybrid infrastructure.

- Intent Creation improvements: Includes significant improvements to NetBrain’s no-code user interface and a Quick Parser that simplifies automation intent building for end users, reducing learning and usage barriers while leveraging their knowledge and experience.

Continuous Next-Gen Release 3 is available now to all customers with active subscriptions or maintenance contracts at no additional charge.

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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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