Objective
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 quantitative and semantic reasoning, the system enables cross-domain interpretation and human-understandable insights, ensuring reliability, transparency, and auditability under the GDPR, AML directives, and the forthcoming EU AI Act. Privacy-preserving machine learning techniques, such as encryption and secure multi-party computation, safeguard data sovereignty while supporting collaborative intelligence across jurisdictions. The infrastructure will be validated through multi-level demonstrations in national and cross-border operational environments involving financial institutions, FIUs, and law-enforcement authorities. These pilots will evaluate analytical accuracy, interoperability, and legal admissibility, generating evidence for large-scale deployment. FINTERCEPT’s long-term ambition is to establish a lawful, trustworthy, and human-centric AI paradigm for European financial-intelligence analysis, strengthening institutional resilience, enhancing cross-border cooper
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences political sciences political transitions terrorism
- natural sciences biological sciences ecology ecosystems
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.3 - Civil Security for Society
MAIN PROGRAMME
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HORIZON.2.3.2 - Protection and Security
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-RIA - HORIZON Research and Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL3-2025-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
700 13 IRAKLEIO
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.