Validate device identity and function the moment signal behavior changes.
Download the application note to see how SensAbility supports OT, ICS, IoT, and embedded environments
Every device emits a unique radio frequency (RF) signature. When that signal changes, it can indicate spoofing, component failure, or hardware tampering.
Sensor Biometrics monitors each device’s signature at the signal level in real-time. No waiting for logs. No reliance on what the device claims to be. No delay in detection.
SensAbility compares each live signal to a trained physical-layer baseline to detect spoofing, unauthorized replacement, drift, and abnormal operating states in real time.
Validate device behavior against a known-good baseline
Rogue or substituted devices imitating trusted hardware
Detect spoofing, substitution, drift, and tampering early
Early signs of device degradation or instability
Unauthorized hardware replacements in secure environments
Operational changes that suggest elevated security or reliability risk
If you’re not watching device behavior at the physical layer, you’re operating on assumptions. Sensor Biometrics transforms signal activity into proof of trust–verifiable, real-time, and always present.
Sensor Biometrics doesn’t require firmware access, agents, or cooperation from the device itself. We identify threats by observing how the device behaves physically, not how it’s labeled on the network.
That gives operators and security teams a way to see below the software layer and detect changes that may otherwise remain hidden until they become incidents, outages, or trust failures.
Anomaly detection at the signal level gives security teams visibility into what’s happening beneath the surface of their networks. That’s critical in environments where software logs and metadata fall short.
Because Sensor Biometrics is grounded in signal-level analysis, the platform can help surface suspicious behavior across different device classes, signal environments, and operational conditions without relying on self-reported device identity alone.
We support anomaly detection in:
OT and ICS networks
Industrial and manufacturing environments
Critical infrastructure
Defense and government systems
Embedded and edge-device deployments
Mixed-vendor operational systems
