DSEI 2025: Frontier AI Surveillance System delivers new capabilities for border security.

At the DSEI 2025 exhibition, Elbit Systems introduces Frontier, a wide-area persistent surveillance system designed to address the growing challenges of border defense. This solution relies on artificial intelligence to detect, classify, and assess threats in real time across land, air, and maritime domains. The system aims to reduce the workload of monitoring teams, lower operational costs, and improve responsiveness to evolving threats.
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Adaptive learning enables Frontier to recognize routine patterns and detect anomalies by analyzing large volumes of data. Autonomous threat classification ensures fast and accurate identification, supporting immediate responses. (Picture source: Army Recognition)

The development of Frontier comes at a time when intelligence teams face the constant challenge of processing massive amounts of data and alerts, often overwhelming resources and creating risks of error. To meet these demands, Elbit Systems presents a smart edge-deployed system that enhances intelligence gathering, strengthens situational awareness, and supports decision-making through continuous analysis. Frontier is built to operate autonomously, integrating multiple sensors to transform data overload into a coherent operational picture.

Several features define the system’s capabilities. Adaptive learning enables Frontier to recognize routine patterns and detect anomalies by analyzing large volumes of data. Autonomous threat classification ensures fast and accurate identification, supporting immediate responses. Decision-making support tools prioritize risks and provide operators with actionable insights. Operational efficiency is also central to the design, reducing manpower needs, cutting costs, and improving mission success rates.

The system’s open architecture facilitates integration with a variety of sensors and C4I systems, enhancing flexibility. Frontier is “sensor agnostic,” meaning it can function with a wide range of cameras and sensors without the need to retrain its neural network. It also develops a sectorial operational memory by processing raw data from multiple sources and converting it into usable metadata. This reduces false alarms while increasing the probability of detection. Its adaptability allows deployment in modular configurations tailored to specific operational requirements.

In practice, Frontier seeks to reshape border surveillance methods. Traditional solutions often struggle with excessive inputs that generate high rates of false alarms. Frontier, by contrast, creates a comprehensive and evolving picture of the sector, learning local topographies and operational routines autonomously. This allows automatic categorization and prioritization of threats, enabling operators to monitor vast areas while maintaining the ability to respond quickly to intrusions or suspicious activities.

Elbit Systems, a long-established defense technology provider, demonstrates through this system its capacity to design and integrate solutions that address the operational realities of today’s security environment. The introduction of Frontier highlights the broader trend toward the proliferation of autonomous, AI-driven systems capable of managing large streams of sensor data in real time. By offering a flexible and modular tool focused on optimizing resources, the company contributes to the spread of advanced surveillance systems in contexts where border protection and perimeter security remain central priorities.

Written by Matt Delvoye - Defense Analyst, Army Recognition

Matt Delvoye holds degrees in political science from the University of Liège and the University of Brussels, with a specialization in international relations as well as defense and security policy. He works as a defense analyst at Army Recognition, where he covers international defense events and provides daily reporting on military equipment and industry developments.