Causal inference replaces correlation-based monitoring. Discover the actual root cause of network issues — not just symptoms that look similar.
73%
of alerts are false positives in correlation-based systems
4.2 hrs
average MTTR when engineers chase correlated symptoms instead of root causes
$5.6M
average annual cost of network downtime per enterprise
Insight: The causal graph reveals that the firmware update was the true root cause of the latency spike — not the CPU overload that appeared simultaneously.
from Cortex
DoWhy-powered causal graph generation from VPC flow logs, SNMP traps, syslog, and OTel telemetry. Automatically discovers causal relationships that correlation analysis misses.
from Lighthouse
AI-driven root cause analysis that follows causal chains, not correlation clusters. Reduces MTTR from hours to minutes by eliminating false leads.
from Meridian
Graph-based topology reasoning with simulation-validated remediation. Test fixes in a digital twin before deploying to production.
Causal Impact Analysis
Confounders controlled: traffic volume, time of day, peer congestion