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.
The project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement No 101168309.
