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NetBrain Introduces Agentic AI

NetBrain Technologies announced the next version of its NetBrain platform introducing Agentic NetOps. 

The release integrates agentic AI into core workflows to help NetOps teams by autonomously investigating and diagnosing complex network issues, suggesting fixes and supporting engineers in executing remediations. These new capabilities reduce resolution time, automate more manual NetOps workflows, and make network changes safer across increasingly complex hybrid-cloud environments.

“With this release, we’ve delivered agentic AI as a full-fledged digital engineer – it can diagnose complex issues independently dramatically improving the speed that teams can resolve incidents driving to the ultimate goal of preventing network downtime,” said Song Pang, Chief Technology Officer at NetBrain. “We understand our customers are at various stages of AI adoption. Our goal is to meet them where they are and make available in-the-loop, on-the-loop, and out-of-the-loop in support of our goal of reducing outages for our customers by 50% this year, and every year thereafter.”

NetBrain has steadily expanded the AI capabilities in recent versions of its platform. Building on its intent-based automation and digital twin technology, Agentic AI makes diagnosis and remediation of network problems faster, more accurate, and more automated, while keeping engineers in control of execution. Furthermore, NetBrain has dramatically increased its support of services for all major cloud providers as well as full Kubernetes integration, providing better visibility across complex hybrid and containerized networks.

Specific new and expanded features include:

  • AI Deep Diagnosis – Human-on-the-loop Agentic AI that leverages NetBrain’s digital twin and intent-based automations to analyze network issues, providing transparent, step-by-step reasoning and visualized root-cause results on a map for fast incident resolution. It helps junior staff work like experts and engineers solve faster by turning complex automation into guided steps to save time and reduce guesswork.
  • AI Runbook Companion – AI helps plan and recommend actions by building runbooks, keeping engineering in control with human-in-the-loop to approve and execute automation. AI reasons through the data and recommends next steps accelerate the troubleshooting workflow.
  • Extended cloud support for over 200 services expands intent-based automation coverage beyond traditional networking to resource management, data, and compute services meets high demand. View physical and logical nodes including database, caching, DNS, storage, and other managed services in a single dashboard to help accelerate identification and troubleshooting of problems across the hybrid-network.
  • Quick Assessment - automates network validation and troubleshooting checks across multiple devices, transforming hours of manual checks into minutes and streamlining operationally heavy workflows to maintain network security and compliance.
  • Automated change remediation with optional pre-approval workflows enables safer, faster network updates, enforcing compliance, reducing manual steps, and centralizing change management and oversight.

NetBrain delivers Agentic NetOps, the evolution of network automation where AI becomes an autonomous digital engineer. This enables proactive intelligence, faster resolution, and safer changes across hybrid-cloud environments. The platform helps NetOps teams at the largest organizations in the world manage complex, hybrid networks with AI and automation.

“We believe customers should expect to improve the availability of their networks every year, reducing outages 50%, year over year – even as networks become more complex,” shared Barbara Scarcella, Chief Customer Officer for NetBrain, “our approach to Agentic NetOps along with our years of best practices delivers this continuous improvement. Our platform moves toward increasingly autonomous remediation as it gains data and runbooks tailored to each customer’s unique network.

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NetBrain Introduces Agentic AI

NetBrain Technologies announced the next version of its NetBrain platform introducing Agentic NetOps. 

The release integrates agentic AI into core workflows to help NetOps teams by autonomously investigating and diagnosing complex network issues, suggesting fixes and supporting engineers in executing remediations. These new capabilities reduce resolution time, automate more manual NetOps workflows, and make network changes safer across increasingly complex hybrid-cloud environments.

“With this release, we’ve delivered agentic AI as a full-fledged digital engineer – it can diagnose complex issues independently dramatically improving the speed that teams can resolve incidents driving to the ultimate goal of preventing network downtime,” said Song Pang, Chief Technology Officer at NetBrain. “We understand our customers are at various stages of AI adoption. Our goal is to meet them where they are and make available in-the-loop, on-the-loop, and out-of-the-loop in support of our goal of reducing outages for our customers by 50% this year, and every year thereafter.”

NetBrain has steadily expanded the AI capabilities in recent versions of its platform. Building on its intent-based automation and digital twin technology, Agentic AI makes diagnosis and remediation of network problems faster, more accurate, and more automated, while keeping engineers in control of execution. Furthermore, NetBrain has dramatically increased its support of services for all major cloud providers as well as full Kubernetes integration, providing better visibility across complex hybrid and containerized networks.

Specific new and expanded features include:

  • AI Deep Diagnosis – Human-on-the-loop Agentic AI that leverages NetBrain’s digital twin and intent-based automations to analyze network issues, providing transparent, step-by-step reasoning and visualized root-cause results on a map for fast incident resolution. It helps junior staff work like experts and engineers solve faster by turning complex automation into guided steps to save time and reduce guesswork.
  • AI Runbook Companion – AI helps plan and recommend actions by building runbooks, keeping engineering in control with human-in-the-loop to approve and execute automation. AI reasons through the data and recommends next steps accelerate the troubleshooting workflow.
  • Extended cloud support for over 200 services expands intent-based automation coverage beyond traditional networking to resource management, data, and compute services meets high demand. View physical and logical nodes including database, caching, DNS, storage, and other managed services in a single dashboard to help accelerate identification and troubleshooting of problems across the hybrid-network.
  • Quick Assessment - automates network validation and troubleshooting checks across multiple devices, transforming hours of manual checks into minutes and streamlining operationally heavy workflows to maintain network security and compliance.
  • Automated change remediation with optional pre-approval workflows enables safer, faster network updates, enforcing compliance, reducing manual steps, and centralizing change management and oversight.

NetBrain delivers Agentic NetOps, the evolution of network automation where AI becomes an autonomous digital engineer. This enables proactive intelligence, faster resolution, and safer changes across hybrid-cloud environments. The platform helps NetOps teams at the largest organizations in the world manage complex, hybrid networks with AI and automation.

“We believe customers should expect to improve the availability of their networks every year, reducing outages 50%, year over year – even as networks become more complex,” shared Barbara Scarcella, Chief Customer Officer for NetBrain, “our approach to Agentic NetOps along with our years of best practices delivers this continuous improvement. Our platform moves toward increasingly autonomous remediation as it gains data and runbooks tailored to each customer’s unique network.

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For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...