The proposed solution aims to deliver a descriptive and predictive data analytics platform and related tools using state-of-the-art machine learning and artificial intelligence methods to prevent, detect, analyse, and combat criminal activities. AIDA will focus on cybercrime and terrorism, by addressing specific challenges related to law enforcement investigation and intelligence. While cybercrime and terrorism pose distinct problems and may rely on different input datasets, the analysis of this data can benefit from the application of the same fundamental technology base framework, endowed with Artificial Intelligence and Deep Learning techniques applied to big data analytics, and extended and tailored with crime- and task- specific additional analytic capabilities and tools. The resulting TRL-7 integrated, modular and flexible AIDA framework will include LE-specific effective, efficient and automated data mining and analytics services to deal with intelligence and investigation workflows, extensive content acquisition, information extraction and fusion, knowledge management and enrichment through novel applications of Big Data processing, machine learning, artificial intelligence, predictive and visual analytics. AIDA system and tools will be made available to LEAs through a secure sandbox environment that aims to raise the technological readiness level of the solutions through their application in operational environment with real data.

The FORESIGHT project aims to develop a federated cyber-range solution to enhance the preparedness of cyber-security professionals at all levels and advance their skills towards preventing, detecting, reacting and mitigating sophisticated cyber-attacks. This is achieved by delivering an ecosystem of networked realistic training and simulation platforms that collaboratively bring unique cyber-security aspects from the aviation, smart grid and naval domains. The proposed platform will extend the capabilities of existing cyber-ranges and will allow the creation of complex cross-domain/hybrid scenarios to be built jointly with the IoT domain. Emphasis is given on the design and implementation of realistic and dynamic scenarios that are based on identified and forecasted trends of cyber-attacks and vulnerabilities extracted from cyber-threat intelligence gathered from the dark web; this will enable cyber-security professionals to rapidly adapt to an evolving threat landscape. The development of advanced risk analysis and econometric models will prove to be valuable in estimating the impact of cyber-risks, selecting the most appropriate and affordable security measures, and minimising the cost and time to recover from cyber-attacks. Innovative training curricula, guiding cyber-security professionals to implement and combine security measures using new technologies and established learning methodologies, will be created and employed for training needs; they will be linked to professional certification programs and be supported by learning platforms. Aside from the development of skills, the project aims at a holistic approach to cyber-threat management with the ultimate goal of cultivating a strong security culture. As such, the project puts considerable emphasis on research and development (i.e. research on cyber-threats, development of novel ideas, etc) as the key to increasing training dynamics and awareness methods for exceeding the rate of evolution of cyber-attackers

AI is transforming law enforcement, offering new tools for policing but also enabling advanced criminal tactics that challenge traditional methods. The global nature of crime, including cyber threats, trafficking, and terrorism, calls for innovative solutions as LEAs face vast data volumes and increasingly sophisticated criminal activities. AI has raised concerns with deepfakes—highly realistic but fake audio, video, or text that can depict individuals saying or doing things they never did. Deepfakes pose serious risks, impacting politics, economy, and social trust. Examples include fabricated videos of political figures and voice-cloned audio for financial fraud, often spread through social networks to deceive and defraud on a large scale. Forensic institutes and courts struggle to differentiate authentic evidence from AI fabrications, especially in cases involving national security. Despite promising detection research, existing methods fall short as current models rely on limited, non-diverse datasets and produce results with limited legal admissibility. The DETECTOR initiative aims to address these challenges, supporting LEAs and forensic experts in analyzing altered media. It offers an integrated solution through cross-border collaboration among AI researchers, LEAs, forensic scientists, legal experts, and ethicists. DETECTOR’s goals include: developing specialized tools for detecting media manipulation, creating comprehensive datasets, researching digital evidence exchange across borders, engaging stakeholders, informing policymakers, and training forensic experts in digital media and AI. Through these efforts, DETECTOR seeks to safeguard digital evidence authenticity and enhance forensic capabilities to counter AI-driven media manipulation across Europe

A project to build and maintain an innovation-driven network of LEAs combating cybercrime - accelerating the EU’s ability to counteract growing pressures of cyber threats. Heeding advice from EUROPOL’s EC3 flagship report Internet Organised Crime Threat Assessment, CYCLOPES create synergies between LEAs from MS and connect industry and academia by stimulating and sustaining dialogue on pressing security matters threatening the stability of Europe and Citizen safety. Dedicated teams will scour markets, identifying solutions and research activities to highlight actions and innovative products to assist LEAs tackle the complexity of cybercrime. Besides technology, the project supports continued development of LEAs, working closely with practitioners to define current capacities and elicit capability gaps and requirements in crucial areas: procedures, training, legal and standardisation. Consequently, other objectives are: identification of priorities for standardisation; recommendations for innovation uptake and implementation; social, ethical and legal reports providing guidance and training suggestions for cybercrime investigators; dissemination of results through workshops, conferences, webinars, publications, policy papers and media. All outcomes will be suitably considered for exploitation - helping to propel the EU in the fight against cybercrime. Practitioners’ workshops are a driving force behind the project and cover three 3 domains: 1) cybercrime affecting people directly, 2) cybercrime affecting systems, 3) digital forensics. The project is to synchronise with other activities conducted by relevant parties EUROPOL, INTERPOL, CEPOL, ECTEG, ENISA; networks: ENLETS, ENFSI, I-LEAD, iLEAnet, EU-HYBNET, covering topics that go beyond efforts of these initiatives and preventing duplication. This also applies to projects where activities align with CYCLOPES (i-ProcureNet, Stairs4Security) and future projects funded by the EC, especially in the area of AI.

The increasing complexity of security challenges combined with the accumulation of significant amounts of digital data calls for better and more widespread use of Artificial Intelligence (AI) capabilities for law enforcement agencies (LEAs). AI can provide benefits to LEAs at all levels given the right understanding, tools, data and protection while increased awareness of criminal misuse is providing an immediate and concerning threat that must be tackled rapidly. Furthermore, a community that brings together LEAs, researchers, industry, security practitioners and other actors in the security ecosystem under a coordinated and strategic effort is essential for the realisation of these efforts into operational practices. STARLIGHT presents an inclusive and sustainable vision for increasing the awareness, capability, adoption and long-term impact of AI in Europe for LEAs. Five strategic goals underpin STARLIGHT’s approach: (1) Improve the widespread UNDERSTANDing of AI across LEAs to reinforce their investigative and cybersecurity operations and the need to uphold legal, ethical and societal values; (2) Provide opportunities to LEAs to EXPLOIT AI tools and solutions in their operational work that are trustworthy, transparent and human-centric; (3) Ensure that LEAs can PROTECT their own AI systems through privacy- and security-by-design approaches, better cybersecurity tools and knowledge; (4) Raise LEAs’ expertise and capacity to COMBAT the misuse of AI-supported crime and terrorism; and (5) BOOST AI for LEAs in Europe through high-quality datasets, an interoperable and standardised framework for long term sustainability of solutions, and the creation of an AI hub for LEAs that supports a strong AI security industry and enhances the EU’s strategic autonomy in AI. STARLIGHT will ensure European LEAs lead the way in AI innovation, autonomy and resilience, addressing the challenges of now and the future, prioritising the safety and security of Europe for all.