Ceasefire is committed to building a community of stakeholders that are relevant to the
project goals and can benefit from each results. To this end, an expanded CEASEFIRE
Community is being built, to facilitate interactions between the project and relevant
stakeholders, such as various LEAs, relevant LEA user communities, initiatives or established
bodies and other EC-funded projects.

If one is interested in joining the mailing list of the CEASEFIRE community, please complete the form with your full name, your organization/institution/agency and your professional e-mail address and then press Submit. All personal information are kept internally within Ceasefire, adhering to the highest privacy standards.


Sister projects are an integral part of the CEASEFIRE Community. Currently, the following
projects participate:

Cut The Cord

The Cut The Cord -CTC (GA 101036276) project is an EU-ISF-Police funded project with 30 months duration that kicked off in November 2021. Its consortium consists of 10 partners from across Europe. It aims at preventing and disrupting terrorism financing through a public-private cooperation enhancement, capacity building and preparedness of the end-users regarding Countering Terrorism Financing. CTC will provide technical solutions based on Artificial Intelligence tools for data acquisition and analysis of financial transactions (e.g., cryptocurrency transactions). To achieve the above objectives and in order to maximize the applicability and usability of CTC, the project aspires to form a strong Stakeholder Community, with members from key group audiences such as Law Enforcement Agencies (LEAs), Financial Intelligence Units (FIUs), Financial Authorities and payment Services, Cryptocurrency Anti Money Laundering Organisations and Policy Makers and more.




TRACE is a three-year Horizon 2020 research project, assembling 17 international partners todevelop solutions that will:

  •  Identify, track and document illicit money flows
  • Disrupt illicit money flows
  • Pave the way for recovering the proceeds of crime

TRACE solutions enable law enforcement agencies to detect and combat money-laundering operations and the financing of organised crime and terrorism by increasing the efficiency of information sharing. Every year, cross-border investigations into illicit money flows are hindered by fragmented e-evidence. TRACE addresses this issue by delivering a modular open-source framework for money-laundering investigations which can be tailored to meet law enforcement agencies’ needs. It will enable investigators to scrape data in any given language, analyse it and visualise the results.



Anti-FinTer is improving law enforcement capabilities, increasing capacity and developing expertise in the area of terrorist financing associated with activities associated with the Dark Web and crypto-assets. These improvements are brought about by three distinct actions: first, through the facilitation of knowledge exchange among stakeholders and the documentation of best practices, risk analysis and policy recommendations; second, through the integration of existing EU project results to create a Toolkit for training investigators and analysts in new investigative techniques that include crypto-asset, image, and Dark Web analysis to identify common actors and correlate terrorist activity with cryptocurrency transactions, and artificial intelligence analytics for detecting transaction anomalies; third, through the development of an online training curricula and exercise environment.


ARIZONA is a project sponsored by the VDI (Verein Deutscher Ingenieur e.V.) and funded as part of the “Anwender Innovativ II“ (User Innovative II) announcement by the “Federal Ministry of Education and Research” (Bundesministerum für Bildung und Forschung – BMBF) of Germany as part of the Federal Government’s “Forschung für die zivile Sicherheit” (Research for Civil Security) program. The project kicked off in July 2022 and is estimated to be finished in February 2025. It is a research project of the Innovation Lab (InnoLab) of the Police of Saxony and the University of Applied Sciences Zwickau (WHZ). ARIZONA trains an Artificial Intelligence (AI) system, not with pictures, but with 3D models of weapons and their parts, which are generated by a photogrammetric scan process of real weapons and weapon parts. Then the AI is used in a mobile phone application to identify weapons or which type of weapon the weapon part belongs to. The project goal is to find out if the AI training process with digital 3D models of real scanned weapons gives an advantage compared to using pictures only.


CosmoPort is a three-year Horizon Europe project aiming to revolutionize the detection of illicit goods in logistics using Atmospheric Ray Tomography (ART), combined with advanced machine learning for risk assessment. This novel approach addresses the increasing challenge of efficiently scanning the growing volume of goods and parcels shipped through various logistics channels. The project’s ambition is to deploy the first mobile ART solution enhanced with AI/ML for improved material and object classification. Having kicked-off in October 2023, CosmoPort brings together a consortium led by GScan, including prominent partners such as Fondazione Bruno Kessler, various national customs and tax authorities across Estonia, Latvia, Greece, Finland and UK, as well as law enforcement agencies like the Hellenic Police. The project emphasizes collaboration across borders to tackle the challenges of modern logistics and security, setting a precedent in the application of cutting-edge technologies for public safety and customs efficiency.


BAG-INTEL (Intelligent system for improved efficiency and effectiveness of the customs control of passenger baggage from international flight arrivals) is a 3-year Horizon Europe Rasearch & Innovation Action that kick-off on October 2023. The project, which is being coordinated by Legind Technologies A/S (Denmark), is powered by a multidisciplinary consortium of 24 partners from 8 European countries, including industrial players, consultancy and advisory firms, universities and research organizations, ministries, customs and tax and civil authorities. BAG-INTEL is developing a highly effective and efficient AI-based solution that will support customs authorities in the detection and reidentification of suspicious baggage, in order to increase the effectiveness and efficiency of baggage customs control at inland border airports, without increasing the number of human resources.


VIGILANT (Vital Intelligence to Investigate Illegal Disinformation) is a 36-month, 17-partner Horizon Europe project (including 4 Police Authorities), kicked-off in November 2022 and coordinated by Trinity College Dublin. It aims to equip European Police Authorities with advanced technologies from academia to detect and analyse disinformation that leads to criminal activities. It also has applications in other areas such as detecting and monitoring hate-speech, radicalisation, incel content, extremism, and violent separatist, nationalist, or paramilitary movements and terrorism. The VIGILANT consortium includes leading research and commercial partners from across Europe.