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

Beschrijving

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.

Periode	12 mei 2026 → 13 mei 2026
Gehouden op	International Conference on Military Communication and Information Systems (ICMCIS), organized by the Information Systems Technology (IST) Scientific and Technical Committee, IST-224-RSY, Verenigd Koninkrijk
Mate van erkenning	Internationaal