CLOUD MULTI-PURPOSE ANOMALY DETECTION

∠ Alerting 80% of the suspicious network infrastructure behaviors by Applying Machine Learning

Anomaly Detection & Forecasting models across all the 11 markets

∠ Building a Data Pipeline for collecting Virtual Machine’s (VM) 5-min granularity time-series data from

the GCP Big-Table DB & Cloud-SQL DB.

∠ Spontaneously Reporting all raised alerts to our Systems via GCP components Cloud-function, an

API-Gateway, and VPN-Tunnel, using the JWT for secure Service-to-Service Authentication process.