
Lockheed Martin and Verizon recently demonstrated NetSense, a drone-detection system that uses AI and 5G networks to identify and track unmanned aircraft in real time.
The system works by analyzing radio frequency signal disturbances across existing 5G infrastructure without requiring new hardware, making it cheaper and faster to deploy than custom-built alternatives.
Pilot deployments begin in the second half of 2026, with commercial availability targeted for 2027.
What happened
Lockheed Martin, Verizon, NVIDIA, Keysight, ODC, and Astris AI demonstrated the NetSense™ system in the Miami area in July, combining 5G networks, commercial off-the-shelf technology, and AI to detect and track unmanned aircraft systems (UAS) in real time.
Why it matters
The system uses existing 5G infrastructure rather than requiring new hardware, making drone detection faster and cheaper to deploy across critical infrastructure like airports, power plants, hospitals, and stadiums. Government customers gain proactive monitoring and alerts without recapitalizing cellular networks ahead of the 6G timeline.
What to watch
Pilot deployments are planned for the second half of 2026 and early 2027, with commercial general availability planned for 2027. The NetSense system will be delivered as a subscription service; interested organizations can request a briefing through Astris AI at https://astrisai.com/request-a-briefing.
In July, a coalition of technology and defense companies—Lockheed Martin, Verizon, NVIDIA, Keysight Technologies, ODC, and Astris AI—successfully demonstrated the NetSense™ Airspace Awareness-as-a-Service™ system in the Miami area. The demonstration showcased how commercial off-the-shelf technologies can make detecting and tracking unmanned aircraft systems both accessible and scalable for protecting public and critical infrastructure.
NetSense works by leveraging existing Verizon 5G network spectrum and analyzing radio frequency signal disturbances in real time. NVIDIA's AI Aerial platform processes these RF signals, feeding the data into Lockheed Martin's algorithms, which predict and track a UAS's flight path and automatically send real-time alerts. ODC's AI-native Radio Access Network software and Keysight's advanced radio frequency simulation platform enable the system to function without requiring changes to existing cellular deployments. The open architecture design allows new interceptors and technologies to be added without the need for entirely new hardware.
According to Sarah Hiza, senior vice president of Technology and Strategic Innovation at Lockheed Martin, "By working within the established 5G network spectrum, we're able to collaborate with the commercial technology industry and deploy a solution that's ready at the time of need." Anil Guntupali, senior vice president of Technology and Product Development at Verizon, added that "by applying AI to the RF signal measurement data already traversing our 5G infrastructure, we can effectively turn our network into an intelligent sensing platform." Ronnie Vasishta, senior vice president of telecoms at NVIDIA, emphasized that the system "demonstrates how AI can transform existing telecommunications infrastructure into a real-time sensing platform."
The broad applications span critical infrastructure, large-scale events at stadiums, utilities like power plants, schools, hospitals, and airports. City, state, and federal government customers gain proactive monitoring and alerts. Notably, the NetSense approach avoids the need to wait for 6G Integrated Sensing and Communication standards; the system is complementary to 6G ISAC and can enhance those systems when they become available. NetSense currently leverages Verizon's 5G network spectrum, with a roadmap toward broader deployment across 5G and future 6G networks. The system will be delivered as a subscription service interfacing with customers' existing security operations. Pilot deployments are planned for the second half of 2026 and early 2027, with commercial general availability planned for 2027. Early deployments will be limited to select customers with urgent need; interested organizations can contact Astris AI, Lockheed Martin's wholly owned subsidiary, to request a briefing.
The NetSense demonstration represents a shift in how the defense and infrastructure sectors approach drone detection. Rather than building purpose-built systems from scratch, Lockheed Martin and its partners are repurposing existing commercial infrastructure—specifically Verizon's 5G networks—to create an intelligent sensing platform. This approach addresses a genuine operational gap: as drones become more affordable and widely available, the need for persistent airspace monitoring has grown, but traditional custom solutions are expensive and slow to deploy.
The use of commercial off-the-shelf components and open architecture is central to the value proposition. By relying on existing 5G deployments and NVIDIA's AI software, the system avoids the need for new cellular hardware investment while remaining compatible with future 6G Integrated Sensing and Communication standards. This means early adopters benefit immediately, and the solution will not become obsolete when 6G arrives. The subscription delivery model, along with the planned pilot deployments in the second half of 2026, signals confidence that the technology is mature enough for real-world deployment at critical sites like airports, power plants, and stadiums.
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytime
Ask AI anything about this article. Q&As are published on this page for other readers too.
GE Vernova reported second-quarter 2026 revenue of $11.1 billion (up 22% year-over-year) and orders that more…

Dell Technologies reported AI-optimized server revenue of $16.13 billion, up 757% year over year, with managem…

SanDisk reported Q4 2026 earnings on Aug

A German advocacy group has filed a criminal complaint against Meta regarding its AI-enabled glasses, citing u…

Marvell Technology is pivoting its business strategy to concentrate on AI networking semiconductors for data c…

Eli Lilly and Company has committed to roll out Veeva Vault CRM across its global operations, adopting Veeva's…

The AI news that matters, in one minute each morning.
Sign up free