Cynash delivers nature-inspired cybersecurity technologies to protect critical energy, transportation, wastewater and industrial control infrastructure. Our patented cybersecurity technologies build upon decades of applied research in machine learning, data analytics, high-performance computing and scalable infrastructure protection. We currently offer four interrelated cybersecurity technologies:
SerialTap brings a new layer of security to older industrial control systems. As its name suggests, this patented sensor passively taps directly into serial communication systems, monitoring network traffic and watching for control signal anomalies that could indicate a cyberattack.
Machine Learning String Tools for Operational and Network Security (MLSTONES) combines high-performance computing and machine learning methods first developed for protein sequencing. This bio-inspired technology can identify evolving, unseen malware patterns—something that conventional signature- and rule-based malware detectors cannot do effectively.
Inspired by the power of ants swarming to protect their colonies, Digital Ants are software sensors that roam through large-scale industrial control networks. These “ants” work in concert to continuously evaluate process parameters and identify likely cyberattacks.
Detecting the coming wave of cyberthreats requires a fast, powerful, scalable data analytics platform. Our proprietary analytics platform consists of a distributed computing infrastructure and intelligent software that will help you quickly interpret and act on data collected by our malware detection technologies. Our data analytics platform is capable of analyzing large volumes of industrial process control and network data in real time.
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