• AI and analog power analysis


How it Works

Power Fingerprinting (PFP) is a unique approach to cybersecurity that utilizes analog signals (AC, DC, EMI) to assess the integrity of an electronic device. Power consumption and electromagnetic emissions uniquely identify any given hardware/firmware combination. By learning these power fingerprints, PFP is capable of detecting whenever unauthorized modifications have compromised the integrity of an electronic system.


The PFP AI platform continually monitors the target system and can remediate any intrusions by restoring a known state before damage occurs.


PFP technology can be retrofit to existing systems or embedded in to devices at the point of manufacture. PFP protects systems from cradle to grave, allowing detection and remediation before any damage occurs.
Contact Us to learn more or to schedule a demonstration.


P2Scan: Power Analytics


P2Scan software containins PFP's patented PowerIQ analytics algorithms, which provide a complete identification and analysis solution. More information...

pMon 751: IoT Monitor


pMon monitors power or EMI signals from devices and systems. pMon is network connected and reports results to P3Scan or your SOC. More information...

eMon: Embedded SDK


PowerIQ Analytics can be embedded into ARM-based devices and FPGAs. Contact us to learn more.


Tamper Detection


PFP provides dynamic verification of hardware systems in a non-destructive process for tamper and intrusion detection. Contact us to learn more.

Counterfeit Avoidance


PFP detects counterfeit electronic items without opening the box. Our technology can also identify used, relabeled and compromised chips or devices. Contact us to learn more.


Contact Us to request a demo!