Description

Risk Detection
Endpoint protection for IoT devices, powered by machine learning, to detect & mitigate threats across devices.
3rd party data enrichment and custom reports are provided for compliance needs and organizational policies. Advanced investigation and analysis is provided as a service by a professional Security Operations Center (SOC) team.

Predictive Maintenance
Real-time device data (CPU, RAM, temperature, storage, etc.) is utilized to evaluate the health status of each device, while machine learning is used to identify deviations over time.
Alerts are ordered by severity to assist operational teams prioritize maintenance activities. Automated actions can be defined to perform preventive maintenance tasks.

Automated Operations
Enabling organizations to automate the operational management of their IoT devices, from a single pane of glass. Automated operations such as device password rotation and firmware upgrades can be defined ad-hoc or periodically, based on the organizational policy.
Integrations with 3rd party systems (SIEMs, management platforms, etc.) is made available for further analysis.