Horizon -
The First IoTOps Solution

SecuriThings Horizon is the first software-only solution to automate the operational management of large-scale IoT deployments.

The solution provides both edge protection and predictive maintenance capabilities for IoT devices.

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.

 

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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.

 

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    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.

       

      Read more

      Horizon -
      The First IoTOps Solution

      SecuriThings Horizon is the first software-only solution to automate the operational management of large-scale IoT deployments.

      The solution provides both edge protection and predictive maintenance capabilities for IoT devices.

      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.

       

      Read more

      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.

       

      Read more

      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.

         

        Read more

        Benefits

        Consolidated management
        across IoT devices
        Edge protection and
        predictive maintenance
        Major operational
        cost savings
        Seamless deployment on
        new and existing devices
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