Machine learning (ML) embedded on small devices, also called TinyML, paves the way for a wide spectrum of new applications using and leveraging many information directly on-device.
At Parcoor, our on-device solutions consist in independant blocks: system monitoring and/or ML signal classification. Put together, those blocks can act as a powerful real-time embedded cybersecurity layer.
The first block of our technology consists in in-depth system monitoring. Provides you actionable insights from the deep core of your systems, giving you access to a new dimension of information. High precision and non-intrusive.
The second block of our technology is an in-house cutting-edge machine learning layer specially and directly designed for embedded systems. Low overhead, reliable and explainable: You not only know what decisions it takes, but also why.
Combined together, our monitoring and our machine-learning
blocks form a powerful attack detection and mitigation layer, protecting your fleet of embedded devices from threats and vulnerabilities, and ensuring embedded cybersecurity
and autonomous real-time detection, including "0 day" malwares.
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