preserve
Start / End
Sep 2024 / Sep 2027
Code
PR-01571

PRESERVE is a European project aimed at designing, implementing, and validating an advanced set of tools that will enable security authorities to collaborate more effectively and securely while ensuring citizens’ privacy. To achieve this, it will leverage Federated Learning technologies, which allow artificial intelligence models to be trained in a decentralized manner without the need to share data between different entities. Additionally, it will integrate User and Entity Behavior Analytics (UEBA) techniques to analyze activity patterns using artificial intelligence and machine learning, enhancing the detection of potential threats and anomalies.

Over the next 36 months, the project partners will develop a comprehensive solution to address key public security challenges by efficiently and securely collecting and processing large volumes of data from multiple sources. PRESERVE will focus on preventing child sexual abuse and detecting and mitigating hate speech through trend analysis and real-time monitoring. It will also work on assessing radicalization risks and identifying extremist activity using advanced tools, as well as detecting drug trafficking through data correlation and crime pattern analysis.

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Financing
Horizon Europe
Consortium
Gradiant (Coordinator), the Department of Security of the Basque Government (Ertzaintza), Paradigma Innovation, and Tree Technology (Spain); Risa Sicherheitsanalysen GmbH and Nuromedia GmbH (Germany); Ubitech Limited (Cyprus); Exus Software Monoprosopi Etairia and Kentro Meleton Asfaleias Center for Security Studies (Greece); Università Degli Studi di Bari Aldo Moro (Italy); the Police of the Czech Republic (Czech Republic); Ministerul Afacerilor Interne (Romania); Föreningen Global Forum (Sweden); and the associate entity Bournemouth University (United Kingdom).
  The project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No 101168309.

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