On August 22, Auria announced the successful delivery of the Minimum Viable Product (MVP) of its autonomous platform, CAASI (Cognitive Autonomous Artificial System Intelligence), to the Naval Sea Systems Command (NAVSEA 03) for Defensive Cyber Operations. This milestone is key to the continued support of design and development efforts focused on advancing autonomous anomaly detection capabilities for naval networks.
Developed in close collaboration with NAVSEA 03 stakeholders, CAASI is an unsupervised machine learning system that uses patented unsupervised Machine Learning (uML) techniques to analyze network traffic in real time, identifying anomalous or nefarious behavior — including Advanced Persistent Threat (APT) activity, Zero-Day exploits, botnet communications, and insider threats.
“The delivery of the CAASI MVP is a major milestone not only for Auria but for the future of autonomous cyber defense in Naval and other DoD environments,” said Damian Dipippa, CEO at Auria. “We’re honored to support NAVSEA’s mission with a system built from the ground up to adapt, evolve, and operate in some of the world’s most complex and high-stakes network environments.”
The CAASI MVP delivery aligns with NAVSEA’s strategic initiative to enhance cyber resilience and operational continuity across the fleet. The system is intended to augment human analysts by autonomously detecting anomalies at machine speed and reducing dwell time, false positives, and risk exposure in mission-critical systems.
Source: Auria
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