As drone operations scale, the challenge is no longer flying safely in isolation. The real challenge is understanding everything else that is happening in the airspace at the same time. Public safety agencies, critical infrastructure operators, airports, ports and security organisations increasingly need a single, coherent view of the airspace, rather than fragmented data from disconnected systems.

Counter-UAS (C-UAS) detection systems play a crucial role in that picture. But their true value only emerges when they are understood not as standalone security tools, but as part of a broader airspace awareness ecosystem that includes UTM, ATM, Detect and Avoid concepts under SORA, and electronic conspicuity.

From Threat Detection to Airspace Awareness

Traditionally, C-UAS systems are deployed with a narrow objective: detect unauthorised or hostile drones. Radar, RF sensors, Remote ID receivers, acoustic sensors and electro-optical cameras are used to identify and track unknown aerial objects.

On their own, these systems answer only one question:

“Is there something here that should not be?”

In real operations, however, that question is rarely sufficient. Operators also need to know:

• Is the detected drone cooperative or non-cooperative?

• Is it part of an authorised UAS mission?

• Is there manned aviation nearby?

• Is the airspace temporarily restricted?

• Is this object a safety risk, a security threat, or simply normal traffic?

This is where C-UAS detection must be connected to the wider airspace information landscape.

The Role of UTM: Knowing What Should Be There

Unmanned Traffic Management (UTM) systems provide insight into authorised and cooperative drone traffic. Flight plans, operational volumes, strategic deconfliction and operational status are managed digitally and shared with relevant stakeholders.

When C-UAS detections are correlated with UTM data, an immediate distinction becomes possible:

• Detected + known in UTM → cooperative, authorised operation

• Detected + not known in UTM → unknown or potentially unauthorised object

This correlation significantly reduces false alarms and allows operators to focus their attention where it matters. Without UTM context, every detection looks suspicious. With UTM context, detections gain meaning.

In other words, UTM provides the intent layer, while C-UAS provides the observation layer.

ATM Integration: The Manned Aviation Perspective

Any realistic airspace picture must also include manned aviation. Helicopters, general aviation, emergency services and commercial traffic all operate in the same physical airspace as drones, especially at low altitude.

Air Traffic Management (ATM) systems already manage this traffic using radar, ADS-B, Mode S and procedural control. While ATM systems are not designed for drones, their data is essential for:

• understanding collision risk,

• coordinating emergency responses,

• and preventing misinterpretation of sensor data.

When ATM data is fused with C-UAS and UTM inputs, operators can see both cooperative drones and manned aircraft in one operational picture. This is particularly relevant for public safety and security organisations operating near heliports, hospitals, ports and infrastructure corridors.

Detect and Avoid in Practice (SORA Perspective)

Under SORA, Detect and Avoid (DAA) is not a single technology but a functional requirement. Operators must demonstrate that they can detect conflicting airspace users and take appropriate action, depending on the assessed risk level.

C-UAS detection systems are increasingly relevant in this context, especially for:

• non-cooperative traffic,

• drones without Remote ID,

• or operations in complex environments where not all airspace users are digitally visible.

When integrated into an operational system, C-UAS sensors can contribute to the DAA function by:

• providing early detection of unknown traffic,

• supporting tactical decision-making,

• and triggering mitigation measures defined in the ConOps.

However, DAA is only credible if detections are contextualised. Raw sensor hits without airspace context do not meet the intent of SORA. Integration with UTM, ATM and electronic conspicuity is therefore essential.

Electronic Conspicuity: Making Cooperative Traffic Visible

Electronic conspicuity technologies, such as Remote ID and ADS-B-like solutions for drones, are designed to make cooperative airspace users digitally visible. They act as a bridge between UAS, UTM, ATM and ground-based detection systems.

From an airspace awareness perspective, electronic conspicuity enables:

• faster classification of detected objects,

• reduced ambiguity between cooperative and non-cooperative traffic,

• and improved interoperability between civil and security stakeholders.

C-UAS systems that can ingest electronic conspicuity data become significantly more powerful. They no longer only detect presence; they help explain identity, intent and compliance.

One Operational Picture, Not Separate Systems

The key takeaway is that no single system can deliver a complete airspace picture on its own:

• C-UAS detects what is physically present, including non-cooperative objects.

• UTM explains which drone operations are authorised and planned.

• ATM provides awareness of manned aviation.

• Detect and Avoid (SORA) defines how this information must be used operationally.

• Electronic conspicuity connects cooperative airspace users to the digital ecosystem.

Only when these elements are combined does true situational awareness emerge.

For operators, authorities and security organisations, the goal should not be to deploy more sensors, but to connect the right information layers into a single operational view. That is where safety decisions become faster, security responses more proportional, and airspace integration truly scalable.

Closing Thought

C-UAS detection is often discussed in terms of threat mitigation. In practice, its greatest value lies elsewhere: as a critical building block in understanding the airspace as a whole. When detection, traffic management and operational decision-making come together, the airspace becomes not just safer, but intelligible.