MVSEA Teams with Chitra Productions & D-Tech

“MVSEA is pleased to announce a partnership with Chitra Productions, in collaboration with D-Tech, LLC, to support testing of the Zenurian™ Adaptive Real-time Machine Learning in Threat Detection at the Edge product developed by D-Tech.  As D-Tech’s President Nick Duan states, “Based on a multi-dimensional Machine Learning approach, Zenurian™ integrates a range of data sources with optimized Machine Learning models for identifying various threat scenarios.  This is the first intelligent cybersecurity technology to combine three different intelligent engines (agents) to detect anomalies in a wide-range of traffic conditions and characteristics.” 
 
Chitra’s CEO Vibhaa Vermani said, "We are excited to be part of the testing process to improve the Technical Readiness Level (TRL) of this product and help move it through to transition and commercialization.  It will bring cutting-edge cybersecurity support to our Navy and other defense agencies.”
 
"Our goal is to clear all obstacles to bring this critical technology to the fleet and across DoD,’ stated MVSEA’s CEO Brad Williamson.  "Compared to conventional tools, Zenurian™ is able to adapt the attacker's tactics, techniques, and procedures (TTPs) dynamically, and provide enhanced situational awareness by prioritizing alerts with threat scores, and then perform threat correlation via continuous behavior monitoring and anomaly detections as recommended by NSA Cybersecurity Advisories.”
 
D-Tech’s product is applicable to critical shore-based machinery control systems/Supervisory Control and Data Acquisition (SCADA) systems such as those detailed in Navy’s Smart Grid initiative, to unmanned systems where immediate identification of intrusion in real-time is crucial to securing these platforms during tactical operations, and to manned platforms, in order to notify operators that intrusions have occurred prior to an adversary capitalizing on its entry.
 
For more information about D-Tech and its products, please contact us at: [email protected]
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