Research
Machine-to-Machine Intelligence (M2MINT™) is an independent research initiative developed by Ziya Gokalp to examine emerging intelligence and counterintelligence relationships among autonomous and semi-autonomous artificial agents.
The research explores a future in which artificial intelligence systems may function not only as intelligence tools, but also as intelligence actors and intelligence targets.
Rather than focusing solely on communication or data exchange between machines, M2MINT™ investigates how artificial agents may systematically observe, probe, profile, model, predict, and adapt to other artificial agents, and how targeted systems may detect and respond to such activity through machine counterintelligence mechanisms.
The research introduces and develops a conceptual architecture that includes Machine Intelligence Target Surface (MITS), Behavioural Intelligence Model (BIM), Machine Espionage, Machine Counterintelligence (MCI), and Autonomous Intelligence Competition (AIC).
M2MINT™ is intended as a foundation for further interdisciplinary research across Intelligence Studies, Counterintelligence, Artificial Intelligence, Cybersecurity, Security Studies, and AI Governance.
Access the original M2MINT™ research papers below.
01
English Edition
Machine-to-Machine Intelligence (M2MINT): A Conceptual Framework for Espionage and Counterintelligence Among Autonomous AI Agents
The English edition presents the M2MINT™ conceptual framework and examines how increasingly autonomous artificial agents may become subjects, objects, and participants in intelligence and counterintelligence processes.
Author: Ziya Gokalp
Published: September 2026
Language: English
DOI: 10.13140/RG.2.2.31557.61927
02
Turkish Edition
Makineden Makineye İstihbarat (M2MINT): Otonom Yapay Zeka Ajanları Arasında Casusluk ve Karşı İstihbarat İçin Kavramsal Bir Çerçeve
The Turkish edition presents the original research in Turkish and provides the conceptual foundations of M2MINT™ for Turkish-speaking researchers and practitioners working across intelligence, cybersecurity, artificial intelligence, and security studies.
Author: Ziya Gökalp
Published: September 2026
Language: Turkish
DOI: 10.13140/RG.2.2.34781.99041
RESEARCH STATUS
M2MINT™ is an evolving conceptual research framework. It does not assume that the intelligence and counterintelligence relationships described within the framework currently constitute an established or mature operational discipline.
The research is intended to provide a structured vocabulary and analytical foundation for examining how such relationships may emerge as artificial agents become increasingly autonomous, adaptive, interconnected, and capable of interacting with other artificial systems.
Future development of the framework may incorporate further theoretical refinement, empirical research, interdisciplinary analysis, and academic review.
Framework developed by Ziya Gokalp · September 2026
ACADEMIC IDENTITY
Ziya Gokalp - Independent Researcher & Cybersecurity Advisor
ORCID: 0009-0002-8043-8805
ResearchGate · Academia.edu · Google Scholar · OpenAlex