Accelerating Network Modernization Through Intelligent IT Discovery With QyrusAI
Dona Zacharias
Customer Background
A global high-tech manufacturing enterprise operating primarily through on-premise data centers faced challenges in understanding the current state of its IT infrastructure. The complexity of legacy systems, unknown interdependencies, and lack of up-to-date asset inventory made it difficult to plan for an upcoming network modernization initiative.
Problem Statement
The customer needed to:
- Discover and catalog all devices across their enterprise network.
- Understand the state, configuration, and interdependencies of these assets.
- Understand the serviceability of the devices from the ITSM perspective.
- Create a reliable foundation to plan and execute a network infrastructure upgrade.
- Achieve this with minimal disruption and no dependency on outdated CMDB entries or manual discovery.
QyrusAI Solution
Automated IT Discovery Framework
QyrusAI deployed its Auto-Discovery Framework using lightweight Remote Agents installed within the customer’s segmented networks. This setup enabled deep visibility into the IT ecosystem without requiring firewall changes or intrusive scanning tools. Additionally, it correlated discovered assets with their associated incident history by integrating with the ServiceNow ITSM tool, adding a behavioral dimension to infrastructure visibility.
Technical Approach & Techniques
Technical Highlights:
- No VPN or tunneling required: QyrusAI Agents communicate securely over HTTPS.
- Distributed Architecture: Each Remote Agent operated independently within local segments.
- Real-time Updates: Incremental and continuous synchronization kept the asset inventory up to date.
- Smart Deduplication: Merged partial data from multiple sources to guarantee high accuracy.
Furthermore, QyrusAI matched discovered assets with CI references in ServiceNow (via IP, hostname, or asset tag). It classified discovered devices as Stale Assets, Noisy Assets, or Critical with High Noise Assets by applying temporal clustering to identify ticket bursts and recurring issues per asset.
Outcomes & Business Impact
Technical Outcomes
- 2,500+ networked assets discovered, including servers, switches, routers, storage, and virtual appliances.
- Mapped 85%+ of known and unknown dependencies within the first 3 weeks.
- Identified 43 orphaned or end-of-life devices impacting overall network performance.
- Uncovered surface-level insights into traffic bottlenecks and misconfigured gateways.
- Identified top 10 noisy devices accounting for over 40% of recurring incidents.
- Recommended actionable remediation or replacement plans for unstable devices.
- Enabled rapid root cause triage by linking incidents to specific dependencies.
- Improved CMDB accuracy by validating discovered assets directly against ticket data.
Business Value
“With QyrusAI, we got a living blueprint of our IT ecosystem. What would have taken months manually was achieved in a few days with actionable insights.” – IT Infrastructure Head, Customer Org
Strategic Takeaways
- Discovery is the first mile of IT modernization, as any transformation plan risks being flawed or incomplete without knowing what exists and how it connects.
- Agent-based, real-time discovery is crucial for hybrid and legacy-heavy environments where traditional CMDBs fall short.
- Business alignment is driven not just by visibility, but by contextual intelligence—knowing not just what an asset is, but what role it plays.
Conclusion
By replacing traditional, manual IT audits with QyrusAI’s automated discovery and behavioral tracking, the enterprise successfully eliminated operational blind spots and streamlined its ITSM workflows. The engagement delivered a reliable, living digital blueprint that established a solid foundation for a risk-managed, efficient network modernization journey.
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October 16, 2026 
6 min
