Solutions

Digital Experience Monitoring

Proactive network and application monitoring with AI-powered sensors. Over 20,000 daily tests per sensor across WiFi, DHCP, DNS, and SaaS applications, catching issues before users notice them. AI-powered root cause analysis reduces MTTR from hours to minutes.

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20K+ Tests/Day
AI Analysis
< 2min MTTR

Monitoring Capabilities

Proactive synthetic testing and AI-driven analytics from every location in your network.

Distributed Sensor Deployment

Deploy compact plug-and-play hardware sensors across every site: offices, branches, data centres, and remote locations. Each sensor continuously tests WiFi association, wired connectivity, DHCP lease times, DNS resolution, and application reachability from the actual end-user perspective. Zero-touch provisioning with cloud management.

Continuous Synthetic Testing

Each sensor executes over 20,000 tests daily across every infrastructure layer: WiFi association and roaming, DHCP lease acquisition, DNS resolution speed, 802.1X authentication, HTTP/HTTPS latency, and SaaS application response times. Automated test schedules run 24/7 with configurable intervals down to every 30 seconds.

AI Root Cause Analysis

Machine learning correlates test results across WiFi, switching, DHCP, DNS, authentication, and application layers to automatically identify the exact failure point. When DHCP latency spikes at a branch, AI determines whether the root cause is a saturated scope, a slow relay, or an overloaded server, reducing mean time to resolution from hours to minutes.

SaaS & Cloud Application Testing

Test real connectivity and performance to business-critical SaaS platforms: Microsoft 365, Teams, Zoom, Salesforce, ServiceNow, and custom web applications. Measure TCP connect time, TLS handshake latency, HTTP response codes, and full page load times. Detect CDN, DNS, or ISP issues affecting cloud service delivery at each location.

Centralized Visibility & Alerting

Single-pane dashboard across all locations with per-site health scores, historical trend analysis, and comparative benchmarking. Customisable alert thresholds trigger notifications via email, webhook, or integration with ITSM platforms when performance degrades. Integrated with centralised network management for unified experience monitoring.

Baseline & Anomaly Detection

Automated performance baselining learns normal network behaviour per location and time of day. Intelligent anomaly detection flags deviations: a WiFi association time that was 50ms yesterday but is now 800ms, or DNS resolution that suddenly routes through a different resolver. Proactive alerts fire before users experience degradation.

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Why ZeroSubnet DEM?

Purpose-built monitoring that measures what actually matters, the end-user experience. Not just uptime, but quality.

01

Detect Before Users Complain

Synthetic testing catches degradation proactively. WiFi roaming delays, slow DHCP leases, or SaaS latency spikes are flagged within minutes, not when a support ticket arrives. Shift from reactive troubleshooting to proactive remediation.

02

Every Location, One Dashboard

Compare network health across all sites with unified scoring, historical baselines, and cross-location benchmarking. Identify your worst-performing branches instantly. No per-site login, no fragmented tools. Total visibility from a single pane.

03

Fully Managed by ZeroSubnet

We handle sensor deployment, configuration, test scheduling, dashboard setup, and ongoing monitoring. Our NOC reviews alerts, investigates anomalies, and escalates actionable findings, so your team focuses on strategic work, not monitoring dashboards.

Technical Specifications

Capabilities

  • WiFi Association & Roaming Tests
  • DHCP Lease Time Monitoring
  • DNS Resolution & Latency Checks
  • 802.1X Authentication Testing
  • SaaS Application Response Metrics
  • HTTP/HTTPS & TCP Connect Tests
  • AI-Powered Root Cause Analysis
  • Automated Performance Baselining

Key Metrics

20,000+
Tests per Sensor/Day
30s
Test Interval
M365, Zoom, SF
SaaS Apps Monitored
85%
MTTR Reduction