HAFIF: A Simulation-Based OSINT Framework for Human-AI Threat Modeling

This publication introduces HAFIF (Human-AI Field Intelligence Fusion), a next-generation OSINT/SIGINT methodology developed by independent analyst Artem Leonov. HAFIF enables simulation-based threat modeling, combining human logic and AI-driven hypothesis testing to emulate adversarial behavior, anticipate hybrid attacks, and support red-team scenarios. This work presents the methodology, use cases (e.g. SIGINT spoofing, infrastructure disruption), and its relevance to modern intelligence and national security workflows. For licensing, NDA preview, or collaboration inquiries: [email protected]