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
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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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Six billion dollars in one evening: what the Binance heist tells us about crypto laundering
The largest theft in crypto history was over in a few hours. Following the money will take years. On 29 October 2026, attackers emptied the hot wallets of Binance, the world’s largest cryptocurrency exchange, on ten different blockchains. Hot wallets…
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Inside the Crypter-as-a-Service market of exploit.in
Malware rarely reaches a victim in the form its author wrote it. Before distribution, it usually passes through a crypter: a tool that encrypts and obfuscates the binary so that antivirus and EDR products no longer recognise it. In underground…
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Clustering Without the Black Box
Our contribution to the ENSEMBLE project, summarized: an address clustering method that investigators can recompute and question instead of trust. An investigative lead and a piece of evidence are not the same thing. Address clustering belongs to the first category,…
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