RF Threat Detector

Automated dark-RF analytics detect and localize jamming and spoofing threats in national infrastructure, ensuring uninterrupted wireless communications and operational safety.

Request a demo

How does it work?

Critical infrastructure relies on wireless links vulnerable to undetectable jamming or spoofing attacks in unlicensed dark-RF bands, risking outages and safety breaches. Advanced analytics applied to real-time spectrum data reveal hidden anomalies and trace rogue transmitters, enabling rapid mitigation before service disruptions.

Rapid Threat Identification: Machine learning models analyze spectral anomalies within seconds of occurrence. This fast detection minimizes downtime and prevents cascading failures in critical systems.
Precise Geolocation: Triangulation algorithms pinpoint jammer and spoofer positions to within meters. This accuracy accelerates field response and neutralization of threats.
Real-Time Monitoring: Continuous streaming of spectrum data ensures no blind spots in detection coverage. Alerts trigger automatically at the first sign of malicious interference.
Scalable Coverage: The platform ingests data from distributed sensors across large geographic areas. This scalability supports national grids, pipelines, and transportation networks.
AI-Powered Analytics: Deep learning differentiates between legitimate signals and sophisticated attack patterns. This reduces false positives and maintains high detection fidelity.
Seamless Integration: APIs connect easily with existing SCADA, NOC, and security information systems. Customizable dashboards deliver actionable alerts directly to operator workflows.

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 dark-RF detection compare to conventional spectrum monitoring?: Traditional spectrum monitoring relies on fixed thresholds and manual analysis, often missing low-power or intermittent attacks. Dark-RF detection uses AI to learn baseline patterns and identify subtle anomalies automatically.
Why is AI-based spoofing detection preferred over rule-based methods?: Rule-based systems require predefined signatures and struggle with novel attack vectors. AI models adapt to evolving threat behaviors and detect previously unseen spoofing techniques.
What are common alternatives to AI-driven jamming detection?: Alternatives include manual spectrum surveying and threshold-based alarms, which are labor-intensive and prone to missed events. None offer the continuous, automated analytics and localization accuracy of AI-driven solutions.
How popular is dark-RF monitoring in security-critical industries?: Adoption is growing rapidly in energy, transportation, and defense sectors due to increasing regulatory and safety demands. Leading operators now mandate active dark-RF detection in their risk management frameworks.
What limitations exist in detecting low-power spoofing signals?: Low-power signals near the noise floor can evade detection if sensor density is insufficient. Mitigation involves deploying more sensors, optimizing antenna gain, and tuning AI sensitivity parameters.
Can this solution integrate with existing SCADA or NOC platforms?: Yes, the platform provides RESTful APIs and out-of-the-box connectors for major SCADA and network operations systems. This ensures alerts and geolocation data flow seamlessly into established workflows.

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.

Request a demo