PFP offers an integrity‑assessment‑as‑a‑platform that uses out‑of‑band monitoring and machine learning to detect counterfeit components, tampering, and malware in microelectronics. The solution supports on‑premise, cloud, and embedded deployments, enabling continuous inspection of supply‑chain parts such as IoT devices, servers, and circuit boards, and can create baseline snapshots to identify outliers without needing gold samples.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BVFounders
Product
Problem
Supply‑chain and operational environments lack reliable methods to verify that microelectronic components have not been counterfeited, tampered with, or infected with malware, especially when gold‑standard reference parts are unavailable.
Solution
PFP delivers an integrity‑assessment platform that uses out‑of‑band side‑channel monitoring combined with machine‑learning analytics to detect hardware, firmware, and configuration anomalies. The system creates baseline “snapshots” of known‑good devices and continuously compares live measurements to identify outliers, counterfeit chips, unauthorized firmware changes, and malicious modifications. Deployments are available on‑premise, in the cloud, embedded in target equipment, or as portable kits, enabling inspection at any stage—from incoming component receipt to in‑field operation. The platform supports a broad spectrum of assets, including IoT/IIoT devices, servers, legacy equipment, telecom hardware, and circuit‑board assemblies, without requiring direct communication with the device under test. Results are delivered through configurable dashboards, custom GUIs, and API integrations for automated reporting and response.
Target Audience
Primary customers are manufacturers, system integrators, and operators of IoT/IIoT devices, data‑center and server vendors, telecom equipment providers, and owners of industrial control and legacy systems that require rigorous microelectronics verification.
Features
- Out‑of‑band side‑channel signal capture (e.g., power, electromagnetic) that operates without interfacing to the device’s functional bus
- Machine‑learning clustering and anomaly detection that identifies counterfeit or tampered components without gold samples
- Multiple deployment models: SigLytics analytics (on‑prem, cloud, PC, embedded), portable authentication kit, standalone IoT monitor modules, and an embedded SDK
- Coverage of diverse hardware types such as discrete ICs, analog amplifiers, power regulators, memory, FPGA, server motherboards, BMC/BIOS, NICs, and telecom baseband modules
- Baseline collection service, custom reporting, and optional custom graphical user interface or workflow integration
- Capability to run in air‑gapped or embedded environments for high‑security or field‑deployed scenarios