Auria has announced the delivery of the Minimum Viable Product (MVP) for its autonomous cybersecurity platform, CAASI (Cognitive Autonomous Artificial System Intelligence), to the Naval Sea Systems Command (NAVSEA 03). The platform is intended for use in Defensive Cyber Operations and represents a step forward in developing autonomous anomaly detection capabilities for naval networks.
CAASI was developed in collaboration with NAVSEA 03 stakeholders. The system uses patented unsupervised machine learning techniques to analyze network traffic in real time, identifying unusual or potentially harmful behaviors such as Advanced Persistent Threat 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.”
CAASI operates without needing labeled training data or predefined threat signatures. It monitors live network traffic continuously and can identify new or stealthy attack patterns on its own. The system uses Auria’s proprietary unsupervised machine learning framework to adjust baselines and threat models as network behavior changes. It is designed specifically for integration with Department of Defense systems and complies with secure enclave operational requirements.
The delivery supports NAVSEA’s ongoing efforts to improve cyber resilience and maintain operational continuity across naval operations. The goal is for CAASI to assist human analysts by autonomously detecting anomalies quickly while reducing dwell time, false positives, and risk exposure within mission-critical systems. “We are looking forward to seeing this capability in the fleet as soon as we can” said a NAVSEA 03 Program Manager.
