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….
Our contribution to the ENSEMBLE project, summarized: an address clustering method that investigators can recompute and question instead of trust….
Criminal division of labour, externalisation of constraint and governance mechanisms Anirudh Dhawan, Sean Foley et Vito Mollica, dans leur article…
AI and detection: Technical promises, marginal effects, and the absence of measurable effectiveness The promises of artificial intelligence in the…
Why are older adults a preferred target of online fraud? What if the principal contribution of digital technologies was not…
The ENSEMBLE consortium successfully gathered in Nancy, France, for a highly intensive, milestone-driven week hosted by the Université de Lorraine (at the…
In March 2025, law enforcement achieved a significant victory. They seized the domain of Garantex, a Russia-linked exchange that had…
A socio-economic perspective – and its operational implications within the ENSEMBLE project This article examines a work in progress –…
When people think about ransomware, they often imagine encrypted systems, ransom notes, and operational shutdowns. However, modern ransomware attacks begin…
The large-scale exploitation of data has become essential in cybersecurity to detect malicious behaviors, anticipate attacks, and improve defensive capabilities….
Debt, compensation, coordination – why improving the observation of flows does not reveal relational structures 1. Detection through observable flows…
Current limitations, the promise of artificial intelligence, and the challenges of modelling human expertise Increasing legal and regulatory requirements in…
Evolutions in the Money Laundering Market (2013–2024): Analysis of Supply, Intermediation, and Competitive Dynamics Money laundering constitutes a fundamental component…