NEW RELEASE
Closed-Loop Automation with Agentic NetOps
From Network Diagnosis to Automated Remediation at AI Speed
This latest release of NetBrain’s network automation platform advances AI from assistant to agentic digital network engineer. It introduces autonomous investigation, reasoning, and transparent insights, delivering faster, safer troubleshooting, and change remediation across hundreds of cloud services and Kubernetes environments for complete observability.
01
AI as a Digital Engineer for Faster Diagnosis & Remediation
Our agentic AI suite brings deep reasoning to network operations, turning reactive troubleshooting into proactive problem-solving. It solves complex issues end-to-end:
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Deep Diagnosis: Automatically pinpoints the root cause of intricate network problems.
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AI Runbook Companion: Instantly transforms the diagnosis into a step-by-step, guided repair plan.
This seamless workflow—from automated discovery to executable guidance—dramatically cuts resolution time and operational effort, turning hours of manual troubleshooting into minutes.
02
Turn Hours of Manual Checks into Minutes of Assurance
Manual network checks are slow and inconsistent. With Quick Assessment, you can define checks once and apply them across the entire network using NetBrain’s pre‑built automation library, turning hours of manual validation into minutes of automated assurance. Ensure network health, validate changes safely, and accelerate troubleshooting in a single click.
03
Extended Support of Cloud Services
Comprehensive, enterprise-ready support for your entire hybrid environment delivers seamless full-stack automation for over 200 hyperscaler services, including DNS, databases, and AI. All of this is secured by centralized API authentication, treating cloud and container environments as core, automatable components—not bolt-on—to support your modern infrastructure.
04
Enhanced Change Management Workflow
By automatically turning network alerts, compliance assessments, and even incoming service tickets into executable change runbooks, this workflow speeds up resolution while offering flexible approval flows, supporting manual approval for governance and pre-approved changes for speed. It centralizes all changes in a single auditable change-management hub, closes the loop from detection to remediation, and ensures accuracy, reducing human error.
05
Historical Trends for Intent-Based Automation
See intent performance in real time and track historical trends. View success and alert counts directly in the results dropdown for a quick status check. Explore historical trend charts that reveal data patterns and anomalies over time—making it easy to monitor and analyze intent execution outcomes.
06
Full Kubernetes Support
Native Kubernetes support brings end-to-end observability and automation to containerized environments, seamlessly integrating clusters, nodes, and services into the Digital Twin. The platform now provides overlay networking (CNI) awareness, intent-based validation of routes and configurations, hybrid application path analysis, and optional security scanning for Ingress-nginx vulnerabilities—empowering teams to manage Kubernetes with the same speed and precision as traditional infrastructure.
- Helps NetOps and SecOps teams monitor Kubernetes vulnerabilities
- Adds real-time CVE visibility to existing Golden Assessments
- Supports audit, compliance, and risk mitigation efforts in container environments
Why Opt-in or Upgrade?
✔ Deploy agentic AI that acts as an autonomous digital engineer to speed root cause analysis (RCA), reduce MTTR, and prove MTTI.
✔ Gain comprehensive network observability for your entire hybrid network, including support for 200+ cloud services and native Kubernetes.
✔ Shift from operations to orchestration of workflows by turning slow, one-at-a-time network tasks into fast, bulk, automated tasks for troubleshooting, change management, and assessment.
✔ Incorporate auto-remediation into triggered workflows with optional pre-approval and a single management pane.
