SHADOWWATCH

User & Entity Behaviour Analytics Platform

SHADOWWATCH is a UEBA platform that deploys a lightweight Windows agent across your endpoints, continuously collects behaviour telemetry, and scores every user and entity against their own historical baseline using a trained ML model. When behaviour deviates, SHADOWWATCH raises a risk-scored alert before the incident escalates.

What Makes It Different

• ML model trained on your own environment’s behaviour baseline — it learns what normal looks like for your specific users and flags deviations that are meaningful to your organisation, not generic threat signatures
• Lightweight Windows agent collects telemetry silently in the background without impacting endpoint performance
• Background model retrainer continuously updates the model as user behaviour evolves, preventing alert fatigue from baseline drift over time
• Risk calculator produces a composite score per user that aggregates multiple weak signals into a single, actionable priority for analysts
• Syslog export delivers structured alerts directly into Wazuh, your SIEM, or any SOC platform that accepts RFC-compliant syslog
• Heartbeat monitoring tracks agent health across every managed endpoint so you always know your detection coverage

Key Capabilities

• Windows endpoint agent with silent background telemetry collection
• ML-based anomaly detection trained on your environment’s behaviour baseline
• Continuous background model retraining to prevent baseline drift
• Composite risk scoring per user and entity
• Alert management with severity classification
• Syslog export to Wazuh, SIEM, or any SOC platform