Artificial intelligence in military technology is most often used for computer vision, sensor data fusion, and on-board computer operations. This enables GPS-free navigation, drone detection, target prioritization, and more precise fire control.
This was stated by the co-founder and product director of Frontline, Oleksiy Markhovsky , at the AI Cyber Forum, as reported by Delo.ua.
“In military technology, AI is primarily used in computer vision and sensor fusion – combining data from various sensors for calculations directly on board. This applies to navigation without GPS, detection of drones through acoustic, visual, radiophysical methods, prioritization of targets and fire control – prediction of trajectories taking into account all delays,” said Markhovsky.
He adds that artificial intelligence reduces the cognitive load on operators and commanders. These systems, he says, use generative AI to create “digital twins” of the battlefield — detailed 3D maps with realistic visualizations. They allow soldiers to plan and adjust missions directly in real time.
“The third category is automatic mission execution in electronic warfare conditions. Drones must have “smart” security and autonomy systems to operate even in the event of signal loss, interference, or mechanical failure. AI helps make decisions right on board to ensure that the mission is completed,” emphasizes Oleksiy Markhovsky.
He notes that a copter equipped with multiple computer systems — autopilot, video stream, and GPS-independent navigation — without protection at the operating system or electronics level becomes an easy target for attacks.
“In ground robotics, some units go even further and use physical protection: for example, mini-bombs that, if the box is opened incorrectly, create a micro-explosion and damage the board,” says the Frontline co-founder.
Markhovsky says that his company works directly with combat units and deals with robotics in a broad sense. In particular, it installs software inside robots, integrates robots with each other and with external systems (command control, situational awareness).
“At Frontline, we use attack tools to model defense. We recreate attack scenarios on users, products, and employees, and then build defenses based on them. This is more reactive than proactive, but it allows us to anticipate risks and create realistic defense scenarios,” concludes Oleksiy Markhovsky.
Recall, it became known how much money was allocated this year for the development of ground drones .
