This report explores the architecture and threat modeling implications of an autonomous malware agent powered by AI decision-making logic. Unlike traditional operator-controlled malware, this framework enables self-adaptive behavior, encrypted C2 infrastructure via domain generation, surveillance, persistence, and modular action execution all without human intervention. Designed for educational and defensive research only, this blueprint outlines the next frontier of AI-native threats and provides blue team mitigation strategies against future autonomous adversarial agents.

Project [REDACTED]