Building the next generation of security dashboards that combine machine learning, threat intelligence, and real-time monitoring.
| Time | Tenant | Sensor | Message | Severity |
|---|---|---|---|---|
| 5m ago | acme | suricata | SQL Injection Attempt | High |
| 12m ago | mlbench | zeek | Suspicious beaconing detected | Medium |
| 30m ago | acme | suricata | Benign traffic sample | Low |
Machine learning models trained on attack datasets to detect anomalies in real time.
Dashboards for events, alerts, assets, and impact analysis — updated live.
Integration with KEV (Known Exploited Vulnerabilities) and external feeds.
Built with modern containers, APIs, and scalable microservices.