IAMI aims to revolutionize entity identification and resolution in security, intelligence, and investigation contexts. It addresses the challenges and limitations faced by current identification techniques and offers a visionary solution through advanced AI-powered software. The project's long-term vision is to propel EU LEAs and security/intelligence organizations into a new era of intelligence, investigation, and forensic capabilities. IAMI's core innovation is the development of an AI-powered software system that can seamlessly integrate with existing case management systems and analytic tools. At the heart of IAMI is the concept of the 'Identity-Attributes-Matrix (IAM)', a 3D construct that encompasses a broad spectrum of multi-modal identity-related attributes, including biometric data, non-biometric identity-related data, and analytic results. These attributes are used to facilitate large-scale entity identification/resolution, including a broader range of entity types, simultaneous and rapid multi-entity identification/resolution, systematic and continuous analysis of flux of probe attributes, confidence in noisy/corrupted probe data, reduced false positive rates, access to contact attributes, and the ability to classify fake identities and bots/avatars. Furthermore, IAMI sets the groundwork for effective collaboration and data sharing across European agencies, including international organizations like EUROPOL and INTERPOL through the establishment of a new EU-Wide IAMI enrolled data collection repository for terrorist threat assessment and awareness which enriches their capabilities and assets. The realization of IAMI's vision will be achieved through the demonstration of the developed IAMI solution. It will be communicated and disseminated among EU LEAs and security/intelligence agencies through project activities, including deliverables, training curricula, workshops, and pilots. IAMI represents a significant step forward in EU fight against terrorism.

MINDb4ACT is a collaborative project participated by 7 LEAs, think-tanks, reserach centres, universities, industry associations and NGO based in 10 Member States (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Poland, Spain and United Kingdom). The project will align its research priorities with some of the most relevant issues already identified by the European Commission: Priority 1. Systematizing the available knowledge and expertise to support strategic decision-making Priority 2. Enhancing interdisciplinary fieldwork on terrorists' recruiting grounds, socialisation and techniques Priority 3. Using big data in order to analyse the information related to the communication practices of violent radicalisation Priority 4.Improving existing links between academia including non-EU researchers, policy-makers and other stakeholders MINDb4ACT will contribute to such priorities for the improvement of current counter-violent extremism policies (CVEs) in the countries represented in the consortium (Austria, Belgium Denmark, Finland, France, Germany, Italy Poland, Spain and United Kingdom) and the generation of new ones connecting through collaboration ecosystems (innovative, open, participatory, user-centred environments) to co-design interventions such as research actions, exchanges, strategic-policy exercises, training courses and pilot projects based on social innovation and civic engagement schemes (a community of practice of 1,500 people). All actions will be developed in 5 specific domains: prisons and judiciary system; migration hotspots and asylum centres, schools, cities (peri-urban contexts) and the Internet and media. A special contribution of the project will be the integration of technology based practical solutions with the contribution of the industry. As mentioned in the call, MINDb4ACT will NOT be “focused on studying the phenomenon of radicalization" but focused on “developing policy recommendations and practical solutions for end-users"

MAGNETO addresses significant needs of law enforcement agencies (LEAs) in their fight against terrorism and organised crime, related to the massive volumes, heterogeneity and fragmentation of the data that officers have to analyse for the prevention, investigation and prosecution of criminal offences. These needs have been identified after consulting with eleven different European LEAs –members of the MAGNETO consortium. In response, MAGNETO empowers LEAs with superior crime analysis, prevention and investigation capabilities, by researching and providing tailored solutions and tools based on sophisticated knowledge representation, advanced semantic reasoning and augmented intelligence, well integrated in a common, modular platform with open interfaces. By using the MAGNETO platform, LEAs will have unparalleled abilities to fuse and analyse multiple massive heterogeneous data sources, uncover hidden relationships among data items, compute trends for the evolution of security incidents, ultimately (and at a faster pace) reaching solid evidence that can be used in Court, gaining also better awareness and understanding of current or past security-related situations. In parallel, MAGNETO will spark an ecosystem of third-party solution providers benefiting from its open, modular and reusable architectural framework and standard interfaces. To achieve these objectives, MAGNETO will test and demonstrate its developments on five representative and complementary use cases (types of crime), under real-life operational conditions in the facilities of eleven different LEAs, keeping them continuously in the production loop, adopting an agile implementation methodology and a multi-disciplinary scientific approach, combining researchers with exceptional track records, officers with top-level operational know-how in law enforcement, recognised experts for legal and ethical compliance to EU and national standards, and qualified training experts for innovative curricula development.

SafeHorizon offers computer law enforcement agencies (LEAs), emergency response teams (CERTs), and computer security incident response teams (CSIRTs) a toolbox with underdevelopment and improved open-source solutions that will be simple to plug-and-play, maintain, and adapt. SaferHorizon aims to disrupt CaaS by harnessing intelligence collected from internet-facing services (the clear, deep, and dark web), public dumps and leaks (from ransomware groups and hacking forums and channels), as well as datasets from LEAs and security providers, and using machine learning (ML) to identify correlations and extract actionable evidence that can be used in court. Beyond crawling for information, SafeHorizon will actively search for possible leaks of information on illegal services, forums, and software that would allow LEAs to track down users, developers, and operators. SafeHorizon will deliver i) a toolkit that is broken down into individual and interoperable easy-to-use tools (in the form of Docker containers), ii) a monitoring platform that integrates the output of these tools, iii) a correlation engine to find the connections among diverse and big datasets, and iv) datasets and notebooks that will be shared with all EU LEAs and vetted organisations and companies to enable the easy uptake and processing of data to deliver tangible results. Moreover, SafeHorizon aims to give cybercriminals a taste of their own medicine by, e.g., spreading disinformation on hacking, carding, forums and channels to dismantle their rings of trust.

Across Europe society is changing due to demographic, technological and economic developments. Communities are getting more diverse, both in real life and online. This challenges Law Enforcement Agencies (LEAs) to engage with, and to reassure, communities about safety and security matters in a trustful way. The changing status quo is significantly shaping perceptions of policing, requiring adaptive strategies. To address these challenges, the KOBAN project will create an innovative, research and practice-based Community Policing (CP) initiative, adopting an evidenced based approach.It will focus on co-creation and collaborative security between LEA and non-LEA community members, leading to mutual trust and respecting each other’s contributions. This results in a greater sense of security, whilst contributing to an overall increase in the efficiency and effectiveness of securing all communities including those who are often considered hard to reach and engage. KOBAN’S Capability Model will identify proven methodologies, models, technologies, tools and best practices, and use them as a foundation for future proactive, co-active and reactive CP capabilities. This knowledge will help to build the AI Assistant as well as the App Factory for the development of further CP tools, methods and solutions tailored to the needs of stakeholders and adhering to social, legal, cultural, ethical and gender equality standards. These will be tested and validated in six pilot projects throughout Europe. KOBAN will support capacity building, embedding knowledge, skills and capabilities within organisations and communities leading to bespoke training for both police personnel, municipalities and citizens. In short, KOBAN will lead a cultural and organisational transformation that address current fundamental barriers to effective community policing. With its Capability Driven Approach, KOBAN is setting the stage for future-proof community policing, both online and in the real world.