Neuro-Morph: Building a Living Defense System with Autonomous Moving Target Defense and MongoDB
Neuro-Morph is a cybersecurity system that uses autonomous moving target defense to dynamically alter a system's attack surface in response to threats, leveraging real-time data analysis and AI decision-making. It relies on MongoDB to maintain a unified, high-velocity digital twin of the infrastructure, enabling rapid updates and decisions without complex joins. The system logs security events and AI actions in two primary collections, supporting continuous learning and adaptive responses to evolving attack patterns.
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