Kaspersky Antidrone software

Kaspersky Antidrone software synchronizes the operation of all modules and displays unified analytics in real time. A combination of algorithms powered by neural networks in Kaspersky Antidrone software ensures unparalleled accuracy and high-speed operation in automatic mode.

  • Multi-sensor monitoring

    The AI-powered system combines data from various sensors and controls the hardware

    Multi-sensor monitoring

    The AI-powered system combines data from various sensors and controls the hardware

  • Incident archive

    Recording and gathering of incident data provide evidence for the security team

    Incident archive

    Recording and gathering of incident data provide evidence for the security team

  • Control via an interactive map

    A graphical user interface with an interactive map helps to configure the system and control it in real time

    Control via an interactive map

    A graphical user interface with an interactive map helps to configure the system and control it in real time

  • System integration via open APIs

    All gathered data is available via APIs for SOC, SIEM and other security systems to provide further comprehensive protection

    System integration via open APIs

    All gathered data is available via APIs for SOC, SIEM and other security systems to provide further comprehensive protection

  • Offline operation and security

    The software can be installed offline to ensure the integrity of corporate information and prevent data leaks

    Offline operation and security

    The software can be installed offline to ensure the integrity of corporate information and prevent data leaks

Intuitive interface

Modern anti-UAV systems have a complicated interface and require technical skills from operators. Data overload increases reaction time and risks to miss a drone. Kaspersky provide a completely new approach to visualization in counter-UAS systems.

Launch user interface demo
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Incidents visualization

Kaspersky Antidrone's algorithms compare information from a variety of devices — radars, direction radio frequency finders, radio frequency detectors, optical and thermal imaging cameras, etc. The interface displays only those events that the software considers confirmed on the map. This allows the system to do some of the analysis work, reducing the operator's workload.

Artificial intelligence and neural networks

  • Automatic monitoring based on data from radars, detectors and other sensors using machine learning algorithms.
  • Prompt data processing while drone detection and classification.
  • Detection of even custom-built drones.

System requirements

  • operating system — Ubuntu 18.04 LTS or 20.04 LTS;
  • latest Nvidia graphics driver;
  • Python 3.10;
  • Ansible 2.10;
  • browser — Google Chrome 80 and above.

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