Air Domain Intelligence & UAS Traffic Management

Every aircraft in your airspace. Identified, contextualized, and assessed - before you have to ask.

Empyrean's Air Domain Intelligence and UAS Traffic Management (UTM) eliminates the cognitive load of airspace management. Every aircraft track - manned or unmanned - is continuously assessed against the full aeronautical context: airspace classification, active restrictions, registered owner, transponder integrity, behavioral anomalies, and Remote ID authorization status. One actionable intelligence picture for the entire air domain.

The Problem

You're watching ADS-B tracks cross your screen. One of them just entered a Temporary Flight Restriction over a wildfire. Another is squawking 1200 at 400 feet in Class B airspace with no LAANC authorization. A third has been orbiting a critical infrastructure site for 45 minutes. Without context, a moving dot is just a moving dot. Your operators are manually cross-referencing FAA registries, checking NOTAM bulletins, computing airspace boundaries in their heads, and hoping they notice the anomaly before it matters. That takes 20-30 minutes per aircraft of interest. For a busy airspace with dozens of tracks, it's operationally impossible.

Who Has This Problem

Counter-UAS and force protection teams monitoring defined airspaceAirport and critical infrastructure security operationsUAS program managers planning BVLOS operations under Part 107/108UAS Service Suppliers (USS) and UTM operators managing drone trafficLaw enforcement and homeland security monitoring aircraft of interestCustoms and border protection tracking air traffic in interdiction corridors
ADS-B aircraft track with FAA registry enrichment, sanctions screening, and weather context
Air Domain Intelligence: ADS-B track enrichment with FAA Aircraft Registry, sanctions screening, weather, population, and environmental context.
Remote ID UAS track with DroneTag sensor integration and operator location
UAS Traffic Management: Remote ID track from DroneTag sensors with operator location and fleet identification.
UAS Safety Risk Management 21-dimension scoring interface
Safety Risk Management: 21-dimension pre-flight assessment against Part 107/108/137 regulations with configurable exemptions.
UAS route assessment with terrain, obstacle, and airspace analysis
UAS Route Assessment: per-segment scoring with terrain suitability, C2 link budget, wildlife proximity, and airspace restriction analysis.

Key Workflows

01A living airspace map renders airspace as it actually exists - not flat polygons but three-dimensional volumes with Class B shelves, MOA boxes at altitude, and TFR cylinders over active events. Tracks flow through this structure in real time.
02Instant aircraft identity: select any ADS-B track and the platform resolves it against the FAA Aircraft Registry automatically. Owner name, registration status, aircraft type, engine configuration, home base - all rendered without a single manual query. Trust-held registrations are flagged immediately.
03Transponder integrity assessment: NACp, SIL, SDA, NIC decoded automatically with spoofing probability computation when integrity parameters degrade. A track whose NACp drops from 11 to 8 in 12 seconds while inside a known GPS jamming zone gets flagged.
04UAS Traffic Management (UTM): Remote ID broadcasts (ASTM F3411) decoded and correlated alongside ADS-B traffic. Drone operator positions pinpointed. FAA registration validated against serial number. Multiple receivers deduplicate into a single fused track. Fleet-registered aircraft identified automatically. Complete UAS accountability in your operational area.
05Weather and environmental intelligence for flight safety: NWS point forecasts, METAR/TAF from 5,000+ stations, SIGMETs, G-AIRMETs, GFS/HRRR gridded forecasts for wind-at-altitude and icing, local surface observations from APRS weather stations, and space weather (Kp index, solar flare classification, GPS TEC) for C2 uplink and GNSS/PNT integrity assessment. All ingested automatically and correlated against planned routes.
06Behavioral intelligence: dwell detection, heading variance analysis, altitude anomaly detection. Continuously assessed behavioral indicators that build a pattern-of-life picture over hours and days.
07Safety Risk Management scoring: 21-dimension pre-flight assessment against Part 91, Part 107, Part 108 (NPRM), Part 135, or Part 137 regulations with configurable exemptions. Terrain suitability, crash-fire analysis, C2 link budgeting, wildlife proximity, NOTAMs, TFRs, airspace restrictions, population density, obstacle clearance, and more. Cryptographically signed PDF reports for non-repudiation.

Capabilities

Real-time ADS-B and Remote ID track fusion from multiple sensor sources
UAS Traffic Management (UTM) with ASTM F3411 Remote ID decode and fleet identification
FAA Aircraft Registry enrichment with trust-held and beneficial ownership detection
Transponder integrity monitoring with GPS spoofing/jamming correlation
Airspace boundary enforcement with 3D volume rendering
TFR, NOTAM, SIGMET, and G-AIRMET geospatial evaluation with route conflict detection
Weather intelligence: NWS, METAR/TAF, GFS/HRRR gridded forecasts, APRS stations, space weather
21-dimension Safety Risk Management scoring for Part 107/108/137 operations
UAS Mission Planner with multi-dimensional route risk scoring and signed PDF reports
Behavioral analytics: dwell detection, orbit identification, heading variance
Cross-domain sanctions screening (TFER) for aircraft owners and operators
Space weather correlation for GNSS/PNT integrity and C2 uplink assessment
Policy Engine integration for automated alerting on compound conditions
Part 146 Automated Data Service Provider (ADSP) architecture (NTAP in progress with FAA)

Platform Integration

Air Domain Intelligence & UTM is built on the same platform architecture as every other Empyrean domain. Every aircraft track is automatically enriched - registration, regulatory history, sanctions screening, and live weather context - without manual queries. The platform is architected for Part 146 ADSP (Automated Data Service Provider) compliance, with Level 2 FAA engagement in progress. The Policy Engine evaluates compound conditions: an aircraft entering a TFR, a transponder degrading, weather minimums breached, or a drone operating without authorization all fire the same automated workflow architecture. Environmental data, weather observations, reference layers, and regulatory databases are stored locally - the platform functions identically in internet-connected, DDIL, and fully air-gapped environments. Aircraft owners are screened against the unified TFER screening engine (OFAC, EU, UK, UN, OpenSanctions - 500K+ entities). The same spatiotemporal data fabric that powers maritime route risk scoring drives the 21-dimension UAS Safety Risk Management assessment.

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Related Resources & Insights

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Resource13 min read

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Resource13 min read

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Resource13 min read

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Resource12 min read

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Resource13 min read

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Resource12 min read

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A technical reference on Counter-UAS (C-UAS): the threat, sensor modalities, sensor fusion, effector types, legal authorities, and layered defense architecture for military and critical infrastructure protection.

Resource12 min read

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A technical reference on Joint All-Domain Command and Control (JADC2): what it is, why the top-down implementation is failing, what sensor-up architecture actually means, and why edge-deployed fusion is the only model that survives contact with reality.

Resource11 min read

What is Sensor Fusion?

A technical reference on multi-sensor fusion: state estimation, data association, multi-hypothesis tracking, identity provenance, and why fusion has to run at the edge. Written for operators and engineers who are tired of marketing hand-waving about AI.

Research43 min read

High-Powered Microwave (HPM): From Hard Kill to Residual Risk

3,400 stochastic Monte Carlo runs across 44 configurations reveal the service-rate ceiling, residual warhead hazard, and closed-loop cascade failure mechanism of single-effector HPM defense against heterogeneous drone swarms of 40-400 threats. The Goldilocks zone is real and it is narrow.

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The Devil Dog and the Dragon: USMC Organic IADS Against PLARF Cruise Missile Saturation on the First Island Chain

50 Monte Carlo seeds. 60 CJ-10 cruise missiles. 80 SkyHunter interceptors. 92.7% kill rate. The MRIC battery works brilliantly - then the magazine runs out at T+28:37 and everything on Miyakojima dies. The math says the Marines need more rounds.

Research34 min read

Quantifying Layered Naval Defense Against Hypersonic Glide Vehicles

We simulated a DF-17 hypersonic glide vehicle salvo against an Arleigh Burke destroyer. 50 Monte Carlo seeds. The ship died every time. SM-6 achieved a 23% kill rate. PAC-3 MSE achieved zero. The engagement timeline - not the interceptor - is the binding constraint.

Insight8 min read

Empyrean Defense Release Log, Vol. 1: Maritime Intelligence & UAS Traffic Management

Empyrean ships Maritime Intelligence (MARINT) with 20+ environmental and regulatory data sources, Air Domain Intelligence (ADI) with FAA Aircraft Registry enrichment, and UAS Traffic Management (UTM) with 21-dimension Safety Risk Management scoring against Part 91/107/108/135/137. Route risk scoring, oil drift prediction, PSC detention screening, SIGMET/AIRMET integration, and Part 146 ADSP architecture for BVLOS operations.

Insight20 min read

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How Empyrean's Weather and Environmental Intelligence Service (WEIS) fuses atmospheric, fire, terrain, and space weather data into your operational picture - automatically modifying sensor confidence, route feasibility, and UAS BVLOS risk scoring across 12 dimensions.

Insight73 min read

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A comprehensive deep dive into Electromagnetic Spectrum Operations (EMSO) and Joint EMSO (JEMSO): the history of electronic warfare, doctrinal evolution from EW to CEMA to EMSO, cross-domain effects, and what military, law enforcement, and critical infrastructure operators can do about it today.

Insight23 min read

Would the Real Common Operating Picture (COP) Please Stand Up

The doctrinal COP promises a single fused display of relevant information shared across echelons. Reality delivers PowerPoint slides, uncorrelated sensor feeds, and TAK maps with six icons for one drone. Here's what a real COP requires: fusion, policy, edge deployment, and echelon-aware translation.

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Insight37 min read

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Insight73 min read

Sense, Make Sense, Act: How to Conduct Counter-UAS From Sensors to Deployments

The complete Counter-UAS playbook: 8 sensor types, how to fuse them, when to jam vs. shoot, and how to build layered drone defense that works in DDIL. From a single site to a theater-wide CUAS architecture.

Insight12 min read

Why JADC2 Needs Sensor Fusion at the Edge

JADC2 assumes persistent cloud and top-down authority. The people who actually shoot have neither. Here's why sensor fusion has to happen at the edge, and what that architecture looks like when the link goes dark.

Resource22 min read

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A-to-Z reference of acronyms and terms used across electromagnetic spectrum operations, counter-UAS, sensor fusion, space situational awareness, JADC2, counter threat finance, entity resolution, and multi-domain command and control.

Resource13 min read

What is Counter Threat Finance?

A technical reference on Counter Threat Finance (CTF): the doctrine behind DoDD 5205.14 and JP 3-25, the difference between defense CTF and financial-sector AML/CFT, how sanctions, PEPs, debarment, shell companies, and trade-based money laundering fit together, the interagency architecture, and what operational counter-threat-finance software actually requires when the money trail has to tie back to a live sensor picture.

Resource10 min read

What is Entity Resolution?

A technical reference on Entity Resolution (ER): the problem of deciding when two records describe the same real-world entity, the deterministic, probabilistic (Fellegi-Sunter), machine-learning, and graph-based methods that solve it, why ontology and normalization come first, how ER underpins sanctions screening and beneficial-ownership resolution, and what it takes to tie resolved entities to a live operational sensor picture.

Resource9 min read

What is Intelligence Fusion?

A technical reference on intelligence fusion: the JDL/DFIG data-fusion model from signal to decision, the difference between data, sensor, information, and intelligence fusion, the JADC2 and Multi-Domain Operations doctrine it serves, the multi-INT and all-source disciplines it spans, and what fusion looks like for civilian and dual-use operators who never use the word JADC2.

Resource13 min read

What is Narrative Intelligence?

A technical reference on Narrative Intelligence (NARINT): the discipline of detecting, tracking, and countering narratives across the information environment. Covers Information Operations doctrine, MISO/PSYOP, the DISARM framework, Coordinated Inauthentic Behavior detection, SOCMINT/OSINT collection, counter-narrative operations, and what operational software requires.

Resource13 min read

What is EMSO?

A technical reference on Electromagnetic Spectrum Operations (EMSO): doctrine, Electronic Warfare, EMBM, JEMSO, the EMSO CFT, Electronic Order of Battle, CEMA, spectrum management, and what operational EMSO software actually requires.

Resource12 min read

What is a Common Operational Picture?

A technical reference on the Common Operational Picture (COP): what it is, why most COPs fail operators, the difference between a display and a decision surface, multi-domain integration, MIL-STD-2525 symbology, edge deployment, and what a fused COP actually requires.

Resource13 min read

What is Space Situational Awareness?

A technical reference on Space Situational Awareness (SSA) and Space Domain Awareness (SDA): orbital tracking, TLE propagation, the Space Surveillance Network, satellite characterization, counterspace threats, and why the space domain impacts every other domain you operate in.

Resource12 min read

What is Counter-UAS?

A technical reference on Counter-UAS (C-UAS): the threat, sensor modalities, sensor fusion, effector types, legal authorities, and layered defense architecture for military and critical infrastructure protection.

Resource12 min read

What is JADC2?

A technical reference on Joint All-Domain Command and Control (JADC2): what it is, why the top-down implementation is failing, what sensor-up architecture actually means, and why edge-deployed fusion is the only model that survives contact with reality.

Resource11 min read

What is Sensor Fusion?

A technical reference on multi-sensor fusion: state estimation, data association, multi-hypothesis tracking, identity provenance, and why fusion has to run at the edge. Written for operators and engineers who are tired of marketing hand-waving about AI.

Research43 min read

High-Powered Microwave (HPM): From Hard Kill to Residual Risk

3,400 stochastic Monte Carlo runs across 44 configurations reveal the service-rate ceiling, residual warhead hazard, and closed-loop cascade failure mechanism of single-effector HPM defense against heterogeneous drone swarms of 40-400 threats. The Goldilocks zone is real and it is narrow.

Research48 min read

The Devil Dog and the Dragon: USMC Organic IADS Against PLARF Cruise Missile Saturation on the First Island Chain

50 Monte Carlo seeds. 60 CJ-10 cruise missiles. 80 SkyHunter interceptors. 92.7% kill rate. The MRIC battery works brilliantly - then the magazine runs out at T+28:37 and everything on Miyakojima dies. The math says the Marines need more rounds.

Research34 min read

Quantifying Layered Naval Defense Against Hypersonic Glide Vehicles

We simulated a DF-17 hypersonic glide vehicle salvo against an Arleigh Burke destroyer. 50 Monte Carlo seeds. The ship died every time. SM-6 achieved a 23% kill rate. PAC-3 MSE achieved zero. The engagement timeline - not the interceptor - is the binding constraint.

Insight8 min read

Empyrean Defense Release Log, Vol. 1: Maritime Intelligence & UAS Traffic Management

Empyrean ships Maritime Intelligence (MARINT) with 20+ environmental and regulatory data sources, Air Domain Intelligence (ADI) with FAA Aircraft Registry enrichment, and UAS Traffic Management (UTM) with 21-dimension Safety Risk Management scoring against Part 91/107/108/135/137. Route risk scoring, oil drift prediction, PSC detention screening, SIGMET/AIRMET integration, and Part 146 ADSP architecture for BVLOS operations.

Insight20 min read

The Environment Is Trying to Kill Your Mission. We Want to Mitigate It.

How Empyrean's Weather and Environmental Intelligence Service (WEIS) fuses atmospheric, fire, terrain, and space weather data into your operational picture - automatically modifying sensor confidence, route feasibility, and UAS BVLOS risk scoring across 12 dimensions.

Insight73 min read

Electromagnetic Spectrum Operations Is Everyone's Problem. Let's Do Something About It.

A comprehensive deep dive into Electromagnetic Spectrum Operations (EMSO) and Joint EMSO (JEMSO): the history of electronic warfare, doctrinal evolution from EW to CEMA to EMSO, cross-domain effects, and what military, law enforcement, and critical infrastructure operators can do about it today.

Insight23 min read

Would the Real Common Operating Picture (COP) Please Stand Up

The doctrinal COP promises a single fused display of relevant information shared across echelons. Reality delivers PowerPoint slides, uncorrelated sensor feeds, and TAK maps with six icons for one drone. Here's what a real COP requires: fusion, policy, edge deployment, and echelon-aware translation.

Insight7 min read

Building Physics-Backed, Unclassified, Open-Source Defense Research

Introducing Empyrean Defense Research: unclassified, physics-backed wargaming analysis built on open-source data. Our first publication drops 1,500 Monte Carlo simulations of an Arleigh Burke vs. DF-17 hypersonic glide vehicles. The ship died every time.

Insight37 min read

How the Space Domain Impacts Your Operations

A deep dive into Space Situational Awareness (SSA) and Space Domain Awareness (SDA), the cross-domain effects of space on electromagnetic, ground, maritime, air, and information operations, and what you can do to counter them.

Insight73 min read

Sense, Make Sense, Act: How to Conduct Counter-UAS From Sensors to Deployments

The complete Counter-UAS playbook: 8 sensor types, how to fuse them, when to jam vs. shoot, and how to build layered drone defense that works in DDIL. From a single site to a theater-wide CUAS architecture.

Insight12 min read

Why JADC2 Needs Sensor Fusion at the Edge

JADC2 assumes persistent cloud and top-down authority. The people who actually shoot have neither. Here's why sensor fusion has to happen at the edge, and what that architecture looks like when the link goes dark.

Empyrean Defense

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