Agile’s EMSO command-and-control software combines information from sensors and effectors into a common operating picture. The company describes statistical estimation of emitter positions, allocation of sensing and countermeasure resources, and machine-learning refinement of the picture.
This is the coordination layer around RF equipment. Its practical integration depends on which devices supply data, how observations are represented and timed, and how tasks are returned to the sensors or effectors. The public description does not identify those APIs, message formats, supported hosts or compatible product versions.
Technical detail
Core features
Sensor and effector data fusion
Emitter-location estimation
Sensing and countermeasure resource allocation
Machine-learning-supported common operating picture
Command and control
EMSO
Sensor fusion
Emitter localization
Machine learning
Use & integration
Recorded applications
EMSO situational awareness
Counter-UAS command and control
Sensor tasking and effector coordination
These describe the reviewed application scope, not confirmed deployments, released requirements or procurement eligibility.
Commercial availability
Agile lists the command-and-control system for enquiries. An integration scope needs to identify connected devices, data formats, hosting, timing and security requirements; public licence and delivery terms are not available.
Integration and verification
Readiness
A technology readiness level is not established by the reviewed public sources.
Maturity
A specific maturity stage is not established by the reviewed public sources.
EMSO command-and-control system may help teams working on Sovereign defence capability areas by contributing to detection and situational awareness, autonomous and uncrewed systems, and cyber and digital operations.
EMSO command-and-control system may help teams working on Major-event and critical-infrastructure cyber defence by contributing to detection and situational awareness, resilient communications and command, and cyber and digital operations.
This is a reviewed public-source assessment. It is not procurement eligibility, endorsement, customer interest, or classified demand.
Original sources 3 linked records
These records support this capability and its published Mission area and Defence need connections. A source count is not a count of independent confirmations.
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · name
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · capability type
Agile Electromagnetics Inc. records Agile Electromagnetics capability Type as: Electromagnetic-spectrum command-and-control software
Supports: Capability · capability type
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technical tags
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · defence applications
Agile Electromagnetics Inc. records Agile Electromagnetics applications 0 as: EMSO situational awareness
Supports: Capability · defence applications
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · commercial availability
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · core features
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technicaldomainslugs
True North Map derives this Agile Electromagnetics taxonomy or Mission Area leaf from the cited capability premise at value.technicalDomainSlugs.1.
Supports: Capability · defence applications
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · core features
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technicaldomainslugs
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technical tags
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 4 as: machine learning
Supports: Capability · technical tags
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 1 as: EMSO
Supports: Capability · technical tags
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technology readiness level
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · commercial availability
Agile Electromagnetics Inc. records Agile Electromagnetics commercial Availability as: Agile lists the EMSO command-and-control system and accepts enquiries; public sources do not disclose architecture, APIs, data models, security controls, tested platforms, pricing or delivery terms.
Supports: Capability · technical tags
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · maturity
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technical tags
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · core features
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technicaldomainslugs
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · defence applications
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · defence applications
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technical tags
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technical tags
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technical tags
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technicaldomainslugs
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technical tags
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 3 as: emitter localization
Supports: Capability · technicaldomainslugs
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · defence applications
Agile Electromagnetics Inc. records Agile Electromagnetics applications 1 as: Counter-UAS command and control
Supports: Capability · maturity
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · core features
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · summary
Agile Electromagnetics Inc. records Agile Electromagnetics summary as: Agile describes command software that fuses electromagnetic sensors and effectors, estimates emitter locations, allocates sensing and countermeasure resources and presents an EMSO and counter-UAS common operating picture.
Supports: Capability · name
Agile Electromagnetics Inc. records Agile Electromagnetics name as: EMSO command-and-control system
Supports: Capability · core features
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · core features
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · core features
Agile Electromagnetics Inc. records Agile Electromagnetics features 0 as: Sensor and effector data fusion
Supports: Capability · defence applications
Agile Electromagnetics Inc. records Agile Electromagnetics applications 2 as: Sensor tasking and effector coordination
Supports: Capability · technicaldomainslugs
True North Map derives this Agile Electromagnetics taxonomy or Mission Area leaf from the cited capability premise at value.technicalDomainSlugs.0.
Supports: Capability · technical tags
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · capability type
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · core features
Agile Electromagnetics Inc. records Agile Electromagnetics features 2 as: Sensing and countermeasure resource allocation
Supports: Capability · core features
Agile Electromagnetics Inc. records Agile Electromagnetics features 3 as: Machine-learning-supported common operating picture
Supports: Capability · core features
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · defence applications
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technical tags
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 0 as: command and control
Supports: Capability · summary
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · core features
Agile Electromagnetics Inc. records Agile Electromagnetics features 1 as: Emitter-location estimation
Supports: Capability · technology readiness level
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technical tags
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · core features
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · name
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · technical tags
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · defence applications
Hydra is described as a 32-element GaN digital-beamforming system with direction finding and embedded ML; Artemis is a separate eight-element payload for Group 1/2 drones. The configurable multi-function EMSO family spans 8–32 elements and company-described VHF-to-millimetre-wave configurations; this does not mean one unit covers the entire range. EMSO C2 fuses sensor/effector information, estimates emitter location, allocates resources and presents an ML-supported picture; no public API or independently tested architecture is disclosed.
Supports: Capability · commercial availability
Company describes fusion of sensor/effector data into a common operating picture, statistical emitter-location estimation, allocation of sensing/countermeasure resources, and machine-learning refinement. Claimed terabits-per-second raw RF processing is not an independently measured throughput guarantee. No APIs, formats, hosts, compatible models, timing or assurance evidence disclosed.
Supports: Capability · technical tags
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 2 as: sensor fusion
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 0 as: command and control
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics name as: EMSO command-and-control system
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics applications 0 as: EMSO situational awareness
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 3 as: emitter localization
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics features 0 as: Sensor and effector data fusion
Supports: Defence need · Sovereign defence capability areas
True North Map derives this Agile Electromagnetics taxonomy or Mission Area leaf from the cited capability premise at value.technicalDomainSlugs.0.
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics summary as: Agile describes command software that fuses electromagnetic sensors and effectors, estimates emitter locations, allocates sensing and countermeasure resources and presents an EMSO and counter-UAS common operating picture.
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics capability Type as: Electromagnetic-spectrum command-and-control software
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 4 as: machine learning
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics features 3 as: Machine-learning-supported common operating picture
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics features 1 as: Emitter-location estimation
Supports: Defence need · Sovereign defence capability areas
True North Map derives this Agile Electromagnetics taxonomy or Mission Area leaf from the cited capability premise at value.technicalDomainSlugs.1.
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics features 2 as: Sensing and countermeasure resource allocation
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 2 as: sensor fusion
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics applications 1 as: Counter-UAS command and control
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics applications 2 as: Sensor tasking and effector coordination
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics commercial Availability as: Agile lists the EMSO command-and-control system and accepts enquiries; public sources do not disclose architecture, APIs, data models, security controls, tested platforms, pricing or delivery terms.
Supports: Defence need · Sovereign defence capability areas
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 1 as: EMSO
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics summary as: Agile describes command software that fuses electromagnetic sensors and effectors, estimates emitter locations, allocates sensing and countermeasure resources and presents an EMSO and counter-UAS common operating picture.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics commercial Availability as: Agile lists the EMSO command-and-control system and accepts enquiries; public sources do not disclose architecture, APIs, data models, security controls, tested platforms, pricing or delivery terms.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics features 0 as: Sensor and effector data fusion
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 2 as: sensor fusion
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 0 as: command and control
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 4 as: machine learning
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics features 1 as: Emitter-location estimation
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 3 as: emitter localization
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics features 3 as: Machine-learning-supported common operating picture
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics technical Tags 1 as: EMSO
Supports: Defence need · Major-event and critical-infrastructure cyber defence
True North Map derives this Agile Electromagnetics taxonomy or Mission Area leaf from the cited capability premise at value.technicalDomainSlugs.1.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics applications 1 as: Counter-UAS command and control
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics features 2 as: Sensing and countermeasure resource allocation
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics name as: EMSO command-and-control system
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics capability Type as: Electromagnetic-spectrum command-and-control software
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics applications 0 as: EMSO situational awareness
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Agile Electromagnetics Inc. records Agile Electromagnetics applications 2 as: Sensor tasking and effector coordination
Supports: Defence need · Major-event and critical-infrastructure cyber defence
True North Map derives this Agile Electromagnetics taxonomy or Mission Area leaf from the cited capability premise at value.technicalDomainSlugs.0.
Supports: Defence need · Sovereign defence capability areas
Reviewer synthesis of the public end state: Canada can build, sustain or control priority aerospace, ammunition, digital, in-service support, sensor, space, specialized manufacturing, training and uncrewed capabilities through domestic strength, trusted partnerships and sovereign access.
Supports: Defence need · Sovereign defence capability areas
Canada needs secure strategic autonomy and reliable access to capabilities that are critical to defending its sovereignty and meeting allied commitments, while reducing exposure to foreign supply-chain and intellectual-property dependencies.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
Reviewer synthesis of the public end state in the cited material: Event partners should be able to prepare for, detect and respond to cyber incidents through integrated threat intelligence, technical support, exercises and operational coordination before and during major events.
Supports: Defence need · Major-event and critical-infrastructure cyber defence
High-profile events and their host organizations create concentrated cyber-risk and require coordinated planning, monitoring, incident response, exercises and secure information sharing across federal, provincial, municipal and private partners.
Public sources cited · Facts and assessments kept separate · Human review
