RF Threat Monitor

RF anomaly detection along supply routes identifies jamming and spoofing in real time, safeguarding communication and navigation integrity for convoys.

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How does it work?

Low-power jamming and GPS spoofing often evade conventional monitoring systems, leaving convoys vulnerable along remote supply routes. AI-driven geospatial RF analytics aggregates multi-source sensor data to detect and localize covert threats in real time, enabling timely countermeasures.

Real-Time Alerts: The system processes RF data continuously to generate immediate jamming and spoofing alerts. Operators receive location-specific notifications to respond before mission-critical failures occur.
Covert Threat Detection: AI models identify low-power and intermittent jammers or spoofer signals that traditional detectors miss. This enhances detection sensitivity without increasing false positives.
Route Risk Mapping: Geospatial analytics visualize threat intensity along supply routes on interactive maps. Commanders can plan alternative paths or allocate resources to high-risk segments.
Comprehensive Coverage: The platform integrates data from fixed sensors, mobile units, and aerial assets for end-to-end monitoring. Multi-source fusion ensures blind spots are minimized.
Adaptive Learning: Machine learning adapts to evolving jamming and spoofing tactics by retraining on new signal patterns. Continuous feedback loops refine model accuracy over time.
Seamless Integration: APIs connect the solution with existing C2 systems and GIS tools for unified situational awareness. This minimizes deployment time and training requirements.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does this compare to traditional RF detectors?: Traditional RF detectors rely on fixed thresholds and local sensors, often missing low-power or sporadic signals. The AI-based platform leverages geospatial analytics and machine learning to correlate signals across time and space, improving detection accuracy.
Why is AI-based detection popular for supply route security?: AI models can identify complex and evolving jamming tactics without manual rule updates, reducing operator workload. Geospatial insights further contextualize threats along routes, enhancing decision-making for convoy protection.
What are the limitations of dark-RF detection?: Detection accuracy depends on sensor density and signal-to-noise ratios, which can degrade in extreme environments. Highly mobile or encrypted jammers may still pose challenges, necessitating complementary intelligence sources.
Can alternative systems like spectrum analyzers replace this platform?: Standalone spectrum analyzers provide raw signal data but lack the contextual geospatial fusion and automated threat classification of an AI platform. Integrating analyzers as data sources can enhance this solution rather than replace it.
How frequently are threat maps updated?: Threat maps update in near real time as new RF data streams are processed by the AI algorithms. Users can also schedule batch updates at defined intervals to align with operational planning cycles.
What data sources can be integrated for coverage?: The platform supports fixed sensor networks, vehicle-mounted receivers, UAV platforms, and satellite-based signal intercepts. This multi-source approach ensures comprehensive RF environment awareness across routes.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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