SOURCE-LINKED INTELLIGENCE
Financial Intelligence & Tracking for European Counter Terrorism
Financial Intelligence & Tracking for European Counter Terrorism The FINTERCEPT project will develop and operationalise an explainable, and sustainable artificial intelligence (AI) framework for counter-terrorist-financing (CTF) intelligence, transforming fragmented analytical capacities into a unified, interoperable European ecosystem. The project introduces a distributed analytical twin—a digital representation of Europe’s financial-intelligence landscape—that learns, adapts, and operates across multiple jurisdictions without centralising sensitive data. This framework integrates advanced computational modelling, lawful data harmonisation, and multi-layered explainability to identify hidden typologies and transactional behaviours indicative of terrorist financing. FINTERCEPT’s AI architecture combines graph neural networks for networked entity analysis, anomaly-detection models for behavioural irregularities, and large language models capable of processing unstructured financial narratives and open-source intelligence. By linking quan
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2993320
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.