Integration of sensor technologies and a command-and-control platform are the keys to CUAS capabilities.
By: Dave Dimlich
President of SD3IT
That constant buzzing around airports, military bases and other facilities isn’t the usual seasonal upsurge of mosquitoes and gnats. It is, increasingly, drones, whether they’re hanging around flight paths, conducting surveillance and reconnaissance or in other ways posing risks to operations both in the air and on the ground.
They’re a lot more than a nuisance, and you can’t just swat them away. The challenge is in finding a unified approach to address what is clearly a mounting threat.
Unmanned Aerial Systems (UAS), particularly smaller, affordable systems, have become a major component of any kind of conflict, whether the goal is disruption, spying or engaging in battle. Unauthorized drone activity occurs around airports, military installations, utilities, logistics hubs and other critical infrastructure. It’s on the rise. Meanwhile, conflicts overseas have demonstrated just how effective low-cost UAS can be against high-value targets. The result is a growing recognition that organizations need more than awareness of drone threats. They need an organized way to respond.
That shift from detection to operational response is where the counter-unmanned aerial system (CUAS) conversation is heading. The challenge is not simply identifying drones in the airspace or eliminating them one-by-one—though that is at times essential. It is creating the infrastructure, processes and coordination necessary to understand what a drone is doing, determining whether it poses a threat and enabling the appropriate authorities to act quickly.
The Threat Landscape Is Expanding
Recent events have highlighted how rapidly unmanned systems are changing the security environment. Ukraine’s extensive use of drones—both aerial and ground-based—has been credited with turning the tide in the country’s war with Russia.
The coordinated drone strikes by Ukraine deep inside Russian territory on June 1 last year offered an example of how relatively inexpensive unmanned systems can reach far-flung military targets. Ukraine sent an estimated 117 drones aimed at more than 40 Russian aircraft, and they caused about $7 billion in damage. The U.S. military and security communities offer Ukraine’s attacks as examples of strikes that could be carried out against U.S. or allied installations if defenses are not modernized.
Closer to home, U.S. agencies continue to report increasing numbers of unauthorized drone incursions. The Federal Aviation Administration (FAA) reports more than 100 drone sightings a month at U.S. airports. The U.S. military detected 350 unauthorized drone flights over 100 different installations last year. Drug cartels, meanwhile, send an estimated 1,000 drones across the southern border each month, likely either smuggling drugs or conducting surveillance in search of unguarded paths that could be exploited.
UAS is also a concern as multi-venue events such as the America250 celebrations and soccer’s World Cup (whose games the FAA has declared “no-drone zones”) continue.
What makes these incidents particularly unsettling is that operators are often never identified. Their intent remains unclear. And even when a drone is detected, organizations frequently lack the information or authority needed to respond effectively. Base, airport and facility operators are challenged because there are no one-size-fits-all drone-detection technologies, and response is hampered by government regulations and agencies whose response capabilities conflict as much as they complement each other.
Detection Alone Is Not Enough
Many facilities already employ some level of drone detection capabilities. The problem is that detecting a drone and understanding a drone are two very different things.
A security team may know an aircraft is present, but several critical questions remain:
- Who is operating it?
- Is the flight authorized?
- What sensors or payloads is it carrying?
- Where did it launch from?
- What is its intended target?
- Has it been observed conducting similar activity before?
Without answers to these questions, organizations are left making decisions with incomplete information.
This is one reason the current U.S. response framework remains challenging. Different agencies possess different authorities and capabilities. The FAA maintains visibility into the national airspace but generally lacks the authority to disable drones. The departments of Defense and Homeland Security possess certain mitigation authorities but may not have continuous situational awareness across all environments. No single entity consistently has both the information and the authority necessary to make immediate decisions during a potential drone incident.
Why Layered CUAS Architectures Matter
There is no single technology capable of detecting and deterring drones. Every sensing technology has strengths and limitations. Effective CUAS infrastructure relies on combining multiple technologies into a layered architecture that provides a more complete operational picture.
Most CUAS solutions incorporate one or more of the following technologies:
Radar: Radar provides broad-area surveillance and can detect airborne objects over long distances. It remains an important component of many CUAS deployments. However, drones often fly at low altitudes where buildings, terrain and vegetation can create blind spots. Small drone signatures can also be difficult to distinguish from clutter.
Radio Frequency Detection: RF sensors identify communications between drones and operators, and they can often reveal the type of drone, its serial information and even the operator’s location. While autonomous drones can reduce their RF footprint by operating silently and using preplanned flight paths, many still need active communications for navigation, surveillance and control. RF detection therefore remains one of the most valuable tools in the CUAS toolkit.
Electro-Optical and Infrared Sensors: EO/IR systems provide visual confirmation and target classification. Visible-light cameras support positive identification during daylight conditions, while thermal imaging extends visibility during darkness and adverse weather. But infrared systems can’t pass through glass or water, and thermal/IR images are typically low resolution.
Acoustic Sensors: Acoustic arrays detect the unique sound signatures produced by drone motors and propellers. While typically limited to shorter ranges, they can provide an additional layer of detection in environments where other sensors face limitations.
The Real Value Is in Sensor Fusion
The most important component of modern CUAS architecture may not be a sensor at all. It is the command-and-control platform that brings everything together.
Sensor fusion platforms aggregate information from radar, RF systems, EO/IR cameras and other sources into a common operating picture. Increasingly, artificial intelligence helps operators filter large volumes of data, identify anomalies and prioritize potential threats. Instead of forcing personnel to interpret separate streams of information, modern command systems provide a consolidated view of what is happening across the protected airspace. This enables organizations to move from collecting data to generating actionable intelligence.
Artificial intelligence is becoming increasingly important as drone and CUAS technology evolves. Many drone missions involve modified versions of commercial platforms, in which adversaries alter communication protocols, navigation systems or operational behaviors to avoid traditional signature-based detection. This creates a challenge similar to what cybersecurity teams encounter with zero-day threats.
Traditional detection methods often rely on known signatures. AI-driven systems take a different approach by analyzing patterns, behaviors and anomalies across multiple sensor inputs. Rather than asking whether a drone matches a known profile, these systems evaluate whether its behavior appears suspicious. Unusual flight paths, unexpected RF activity and abnormal operating patterns are among the red flags that contribute to threat assessments.
Infrastructure Integration Is the Real Challenge
As CUAS technologies mature, success increasingly depends on integration rather than individual products. It’s an infrastructure challenge as much as a security challenge.
Organizations must connect:
- Sensor networks
- Command-and-control platforms
- Communications systems
- Security operations centers
- Physical security infrastructure
- Data management environments
- Agency and stakeholder workflows
Organizations need layered sensing capabilities, integrated command-and-control platforms and resilient technology environments capable of supporting real-time operations. Just as importantly, they need systems that allow multiple stakeholders to share information and coordinate decisions when every second matters.
At SD3IT, we help organizations build the technology foundations that make these capabilities possible, working with partners such as IXI Electronic Warfare, which offers solutions that neutralize drone threats in real-time, and Ultra Intelligence & Communications, which focuses on integrating data from multiple sensors and presenting that information through real-time operational dashboards.
By integrating sensors, communications, command systems and supporting infrastructure into cohesive operational environments, we help transform CUAS technologies from standalone tools into mission-ready capabilities. Because in the burgeoning drone wars, awareness is only the first step. Operational response is what really counts.
About SD3IT
Solution Driven, Designed and Delivered Technology (SD3IT) delivers secure, resilient technology integration solutions supporting defense, government and commercial operations. The company specializes in cybersecurity, operational technology integration, zero-trust architectures and mission-critical infrastructure modernization. Learn more at SD3IT.
