DroneSec has announced the release of Version 2 of its Stolen Drone Information (SDI) Database, an update to what the company describes as the first database focused on stolen drone intelligence. The new version is designed to enhance tactical, investigative, and real-time capabilities for identifying and responding to unauthorized drone activity.
According to DroneSec, the SDI Database is used by security teams, civil aviation authorities, and law enforcement agencies to help identify drones that appear in global theft records. The update aims to improve the ability to assess and respond to drone-related incidents across both domestic and international contexts.
The updated SDI platform allows C-UAS providers and law enforcement to automatically flag drones during detection events. It integrates with national Remote ID blacklists to provide alerts and context in real time.
“For law enforcement and C-UAS vendors, the value isn’t just in identifying the drone — it’s in understanding the intent behind it,” said Jared Page, Chief Technology Officer at DroneSec.
“Stolen drones are frequently repurposed for hostile surveillance, contraband drops, and intrusions. This database helps stop that cycle. DTI systems that do not integrate into a stolen drone registry are already behind the curve.”
When a drone’s serial number is detected by RF or Remote ID sensors, the SDI system can verify it against global theft records. This capability is intended to help distinguish between accidental misuse and potential criminal activity.
DroneSec reports that the SDI Database has been used in investigations involving cross-border drone flights, restricted airspace violations, and incidents at major public events. In one case, a drone detected in the U.S. was found to have been reported stolen in Spain.
The new version of SDI includes secure API access for C-UAS vendors, allowing integration into existing detection platforms. The system matches drone serial numbers, geolocation data, and police reports with real-time detections to deliver alerts within milliseconds.
DroneSec states that this integration is designed to improve situational awareness and support more informed threat classification without requiring additional hardware.
Post Image Credit: DroneSec.
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