Counter-drone is no longer an accessory capability or a federal specialty. It is becoming a core public safety discipline, and this shift has direct implications for the dealers and integrators responsible for designing, deploying and supporting modern security systems.
The Security Industry Association (SIA) strongly supports lawmakers taking crucial and long-overdue steps needed to address growing threats posed by the weaponization or misuse of drones.
The security megatrends of 2025 suggest that innovative, intelligent and autonomous systems will continue to shape the future of commercial security for many years to come.
The hearing, “Unmanned and Unchecked: Confronting the Rising Threat of Malicious Drone Use in America,” focused on the growing threat posed by unauthorized and criminal use of uncrewed aircraft systems (UAS) in both domestic and international airspace.
Security integrators are tasked with discerning which types of sensors are the most useful for specific security needs at hand. While the variety of sensors allows for advanced, multi-layered security solutions, it also presents a unique challenge: navigating “sensor overload.”
Axon said the transaction will enable it to advance drone as first responder programs and safeguard against unauthorized threats posed by unmanned aircraft systems.
SIRAS drones are engineered for data security, performance, and affordability, making them the ideal choice for public safety, firefighting, and search and rescue missions, according to the announcement.
Surveying the burgeoning market for counter-drone technology, we delve into the latest trends and opportunities driving security integrators’ efforts to safeguard against airborne threats.
Surveying the burgeoning market for counter-drone technology, we delve into the latest trends and opportunities driving security integrators’ efforts to safeguard against airborne threats.
DedroneTracker.AI, Version 6.0 is an AI/ML enabled autonomous threat detection and classification solution that offers sensor-fusion, AI/ML enabled threat risk prioritization, autonomous threat interrogation and classification for drones.