An agent-based operationalization of DISARM for FIMI investigation on Social Media

Fernandez Toledano, J. (Co-auteur)
De Clerck, B. (Co-auteur)
Kevin Tseng (Co-auteur)
Phil Tinn (Orateur)
Yuliia Dukach (Co-auteur)

Activité: Conférence ou présentation › Présentation orale à caractère scientifique

Description

Agent-based operationalization of the DISARM framework enables the systematic investigation of Foreign Information Manipulation and Interference (FIMI) on social media through the integration of Large Language Models, multi-agent systems, and statistical evidence validation. Specialized AI agents collaboratively identify candidate manipulative behaviors, map them to standardized DISARM tactics and techniques, and verify findings against ground-truth data in a transparent and reproducible manner. The approach enhances the scalability, explainability, and interoperability of FIMI analysis while supporting human-AI teaming, situational awareness, and intelligence-driven decision-making in military and security environments.

Période	12 mai 2026 → 13 mai 2026
Tenu à	International Conference on Military Communication and Information Systems (ICMCIS), organized by the Information Systems Technology (IST) Scientific and Technical Committee, IST-224-RSY, Royaume-Uni
Degré de reconnaissance	International