Enhancing Collaborative Investigations Against Cybercrime
ENSEMBLE
Leveraging AI-based technologies and multi-stakeholder collaboration to combat advanced cyber threats across borders.
Discover Our Mission
The ENSEMBLE project aims to combat cross-border cyber-crime using advanced AI-based technology, multi-stakeholder investigation processes, training, and awareness.
AI-based technology against cybercrime
ENSEMBLE uses and develops AI-based technologies to support the fight against cybercrime activities
AI transparency
ENSEMBLE is commited with promoting explainable and transparent AI
Advance tools to monitor and Analyse cybercrime
ENSEMBLE is developing powerful tools to combat cybercrime by detecting, preventing, and mitigating threats in real time
Cross border intelligence and collaboration
Developing mechanisms to share intelligence across borders effectively, is another of the main goals of ENSEMBLE
Behind ENSEMBLE
5
Law Enforcement Agencies
7
Research/Academic Institutions
6
Industry Partners
Dissemination & Communication
Stay informed about ENSEMBLE’s advancements, project milestones, and insights into tackling cybercrime through research articles, research articles and project updates.
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The Pre-Attack Economy: How Ransomware Begins Before Encryption
When people think about ransomware, they often imagine encrypted systems, ransom notes, and operational shutdowns. However, modern ransomware attacks begin long before any files are locked. In 2026, ransomware has evolved into a highly organised criminal ecosystem in which different…
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Privacy-Preserving Cybersecurity with Federated Learning
The large-scale exploitation of data has become essential in cybersecurity to detect malicious behaviors, anticipate attacks, and improve defensive capabilities. However, this necessity faces a major limitation: the most valuable data is often distributed across multiple entities that cannot centralize…
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Hawala and cybercriminality: from threshold-based detection to machine learning – and the structural limits of observing relationalsystems
Debt, compensation, coordination – why improving the observation of flows does not reveal relational structures 1. Detection through observable flows An article by Bilal Moin, “Taming the untamable: Rethinking, regulating, and revamping hawala” (2024), proposes an analysis of hawala by…
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