Predictive Augmentation for Anticipatory Cyber Defense: A Unified Framework Integrating Adversarial Machine Learning, Game-Theoretic Autonomous Defense, and Zero-Knowledge Attribution

A unified framework for anticipatory cyber defense integrating eight convergent dimensions: adversarial machine learning countermeasures, supply chain and hardware implant analysis, quantum threat transition analysis, attribution resistance with deepfake forensics, autonomous defense game theory, zero-knowledge proof systems for operational security, temporal correlation at scale, and biological-physical security integration.