Guest contributor: Bibi Rosenbach is the CEO and Co-Founder of NetOp AI, where he leads the company’s vision for AI-driven network intelligence and automation of enterprise network operations. With deep experience in enterprise infrastructure, network operations and ML analytics, Bibi works closely with Cisco partners and global enterprises to assess and advance network readiness for large-scale AI deployments.
AI Enabled Network Modernization
IT teams are moving quickly to support the rapidly evolving network landscape required to support current and upcoming AI-based initiatives. As organizations accelerate AI adoption, unsupported hardware creates operational risk, performance degradation, and security exposure making proactive modernization a foundational step towards AI-Readiness.
Managing distributed networks that support AI workloads introduces several common challenges: maintaining consistent visibility across hybrid environments, identifying infrastructure risks before they impact performance, and prioritizing modernization efforts amid growing complexity. Best practices increasingly emphasize continuous assessment, automation, and standardized reporting to help teams make informed decisions at scale.
Best Practices for Supporting AI-Driven Network Environments
Organizations preparing their networks for AI commonly focus on a few key practices:
- Continuous infrastructure assessment to identify outdated hardware, unsupported software, and configuration gaps that may impact performance or security.
- End-to-end visibility across LAN, WLAN, WAN, SD-WAN, and cloud-connected environments to surface hidden issues and recurring patterns.
- Standardized, executive-ready reporting enables faster decision-making and clearer prioritization without relying on manual analysis or fragmented tools.
- Automation and analytics to reduce operational overhead and allow IT teams to focus on remediation rather than data collection.
These approaches help organizations move from reactive troubleshooting to proactive network optimization—an essential shift as AI workloads scale.
Applying These Practices with NetOp AI
NetOp AI supports these best practices by providing AI-powered network assessment reporting capabilities designed for scale. Its real-time network health, performance and security reports help surface infrastructure risks such as end of life equipment (LDoS), software version vulnerabilities and performance gaps across diverse environments
By automating data collection and analysis, NetOp enables teams to generate consistent, executive-ready assessments without manual engineering or the need to stitch together multiple dashboards, AI-based correlation and baseline learning help ensure that meaningful, across sites and time windows.
Seamless Network Discovery and Assessment
Through integration with Cisco Networking APIs NetOp can automatically discover network devices and seamlessly collect a comprehensive dataset across Meraki, Catalyst, and mixed environments. This integration also empowers Cisco partners to provide a frictionless onboarding process within minutes that has been carefully designed to be intuitive and straightforward, while upholding enterprise-grade security standards. Partners can identify and high-light hardware lifecycle status, performance, security vulnerabilities (including LDoS and non-Cisco end of life equipment), and configuration gaps within a single report.
MSP Support
For Cisco partners that are also managed service providers, NetOp supports multi-tenancy. MSPs commonly leverage NetOp AI
- internally to reduce vulnerabilities, optimize operations and prioritize resources
- as a managed service to dynamically assess customer networks and provide ongoing support to proactively increase up-time and network optimization
- as a reseller to assess end-customer network health and identify vulnerabilities including LDoS or other end-of-life equipment
Ready to Take Action?
To learn more about how this approach can support network modernization and AI readiness, check out the NetOp AI Network Assessment Reporting solution on Cisco Marketplace
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