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REALM

RF Emanation & Anomaly Learning & Monitoring

REALM autonomously learns your unique RF environment and alerts you to genuine anomalies—no RF expertise required. Where legacy systems need skilled analysts reading spectral data, REALM needs none.

Why security teams choose REALM

Autonomous, by the numbers

0→24h
Autonomous baselineSelf-learns your RF environment in hours, not weeks
100ms
Detection latencyReal-time threat response across your facility
20 GHz+
Coverage range100 kHz – 20 GHz+ continuous monitoring
24/7
Always watchingAutonomous protection that never sleeps or takes a break

Beyond traditional spectrum monitoring

A cognitive approach to RF security

REALM's cognitive approach to RF security eliminates the need for specialized operators while providing superior threat detection.

  • Zero-touch anomaly detection

    Unsupervised machine learning continuously adapts to your changing RF environment—no signatures, no manual baseline updates, no constant tuning required.

  • Threat-agnostic protection

    Detects unknown and zero-day RF threats that signature-based systems miss, from sophisticated bugs to unauthorized transmissions.

  • Operator-independent

    Designed for security teams, not RF engineers. Clear, actionable alerts with automated threat characterization.

  • Sensor-agnostic architecture

    Works with your existing SDR infrastructure or deploy with our recommended sensors—no vendor lock-in.

  • Multi-site intelligence

    Scale from a single SCIF to global enterprise deployments with centralized monitoring and distributed edge processing.

  • Seamless integration

    REST APIs and standards-compliant connectors ensure REALM enhances your existing security ecosystem, not replaces it.

How REALM works

From raw RF to actionable intelligence

  1. 01

    Distributed SDR sensors

    Continuously capture raw IQ data across your facility

  2. 02

    Edge AI processing

    Process high-rate data at the edge, reducing strain on network infrastructure

  3. 03

    Adaptive baseline

    Self-calibrates to your unique RF environment within 24-48 hours

  4. 04

    Anomaly detection engine

    Identifies deviations with sub-second alert latency

  5. 05

    Threat intelligence

    Automatically characterizes and prioritizes alerts

  6. 06

    Security integration

    Pushes actionable alerts to your platform or operations center of choice

Deployment options

Right-sized for your mission

  • Portable threat hunting

    REALM Mobile

    • Pre-configured GPU laptop
    • Pairs with portable SDRs (e.g. Signal Hound BB60D, USRP B205mini-i)
    • Multi-TB NVMe storage for extended recording

    Ideal for

    TSCM sweeps, incident response, temporary deployments, red team assessments

  • Tactical AI at the perimeter

    REALM Edge

    • NVIDIA Jetson AGX Orin (275 TOPS)
    • Pair with COTS SDRs (e.g. Signal Hound SM200C)
    • Send only low-rate detection reports & I/Q captures across the network
    • Scale sensors to your location's needs

    Ideal for

    Large fixed sites, maritime vessels, forward operating locations

  • Enterprise-scale protection

    REALM Command

    • 2U rack-mount server
    • 10/100 GbE network interfaces to support your SDR topology
    • Large RAID storage for archiving detections & I/Q captures
    • Supports analytics over all distributed sensors

    Ideal for

    Data centers, corporate campuses, government facilities, 24/7 operations

  • Bring your own hardware

    REALM Core

    • Containerized deployment (Docker/Kubernetes)
    • REST and ZeroMQ APIs
    • Scales to support heterogeneous SDR inputs
    • GPU-accelerated processing available

    Ideal for

    Organizations with existing SDR infrastructure or custom integration requirements

Flexible deployments

Choose the components that meet your needs.

Mission areas

REALM knows

  • New signal discovery
  • Counter covert communications (COVCOM)
  • Threat indication
  • Spectrum operations
  • Ubiquitous technical surveillance (UTS)
  • Technical surveillance countermeasures (TSCM)
  • In-place monitoring systems (IPMS)

REALM vs. legacy solutions

The autonomous advantage

CapabilityTraditional IPMSREALMLegacy WIDS
Learning methodManual profilesUnsupervised AI autoencoderSignature databases
Operator expertise requiredSkilled RF analystsNone — fully autonomousNetwork specialists
Time to baselineWeeks of manual tuning24-48 hours automaticN/A — signature dependent
False positive rateHigh — requires constant adjustmentLow — system self-tunesModerate — misses unknowns
Unknown threat detectionLimitedNative capabilityNone
Sensor compatibilityProprietary sensorsFlexible SDR supportVendor-specific
Alert response timeSeconds to minutes<100ms end-to-endSeconds

Why REALM now?

The threat landscape has changed

Traditional IPMS solutions require skilled operators to manually interpret spectral data—a resource most organizations lack. Meanwhile, adversaries deploy increasingly sophisticated, low-power, and frequency-agile devices that evade signature-based detection. REALM bridges this gap with autonomous AI that thinks like an expert RF analyst but operates 24/7 without human intervention. By learning what “normal” looks like for your specific environment, REALM achieves what manual systems cannot: consistent, reliable detection of truly anomalous signals with minimal false positives.

Ready to secure your spectrum?

See REALM in action

Join leading organizations that trust REALM to protect their most sensitive RF environments. Schedule a personalized demonstration and discover how autonomous spectrum security can transform your security posture.