PFP provides an IoT platfom for security, safety, and quality. PFP detects anomalies caused by hardware and software tampering, such as counterfeits, cloning, implants, and hacking of configuration and data by insiders. PFP’s PowerIQ analytics can be on-the-cloud or on-premise for new and legacy Internet of Things. Features: Analog Data Capture The baseline references, which uniquely identify the execution of a given software routine, are extracted during a controlled “learning” phase before the system is deployed. The included pMon seamlessly integrates with P2Scan to allow easy data capture from the user’s devices. Baseline Extraction with Machine Learning “Baseline Extraction” guides the user through a series of straightforward steps to create the baseline using PFP algorithms. Runtime Monitoring Once the baseline is created, P2Scan monitors the user’s system with a simple button push. From that point, P2Scan continuously looks for deviations from the baseline to determine whether an intrusion has occurred. During Runtime Monitoring, P2Scan provides a number of data views which allow the user to review and interpret the system performance in real time. A persistent graph provides a quick, easy display showing status. For example, a red point indicates an anomaly. Benefits:

• Accurate and Fast. PFP’s PowerIQ technology detects anomalies from trusted baselines in machine time. Using the laws of physics, PowerIQ is nearly impossible to evade or detect.
• Fully Customizable.P2Scan provides a user friendly interface with point-and-click simplicity. Monitoring parameters, sensitivity, and metrics are fully customizable by the user.
• Complete Solution. The P2Scan kit includes all of the necessary probes, amplifiers, and analysis software to immediately begin using PFP capability.