Elbit Systems has introduced Frontier, an AI-driven surveillance system built to cut through data overload and improve persistent monitoring of potential threats.
The system addresses a growing challenge for intelligence teams: managing thousands of alerts and massive streams of live data.
Frontier works by applying adaptive routine learning to recognize normal patterns and flag anomalies.
Its autonomous threat classification feature enables real-time risk identification, while decision-support tools prioritize alerts and deliver actionable insights to operators.
By integrating feeds from multiple sensors, the system creates a coherent operational picture, turning information overload into clear situational awareness.
The result: less operator workload, faster responses, and fewer errors in high-stakes scenarios.
Expanded Capabilities
Unveiled at DSEI 2025, Frontier is designed for multi-domain use, from land operations to air and maritime surveillance.
It can autonomously operate a wide range of sensors and is engineered for seamless integration with command, control, communications, computers, and intelligence networks.
According to Elbit, potential users include border security forces, military units, government agencies, and operators of critical infrastructure.
“By combining smart edge computing with multi-sensor investigation, Frontier filters out false alarms, prioritizes real threats, and delivers clear, actionable intelligence. No predefined zones. No video feeds. Just real-time insights where they matter most,” the company stated.
