Imagine a digital detective that can scan the dark web and social media to find where illegal drugs are being made and sold. It connects the dots between hidden online chats, cryptocurrency payments, and physical delivery services. This helps authorities stop criminals who think they are invisible behind encrypted screens.
Law enforcement struggles to track drug traffickers who use encrypted software, the dark web, and cryptocurrencies to hide their identities and financial trails.
Modular AI tools and explainable AI (XAI) methods to monitor online markets, track financial flows, and identify physical drug-dealing hotspots.
If you are a threat intelligence provider dealing with the rise of darknet marketplaces — this project developed AI-driven tools that monitor online illicit markets and social media to detect criminal modus operandi. This allows for better tracking of cyber-enabled crime networks.
If you are an AML software firm dealing with the difficulty of tracking cryptocurrency transactions — this project developed methods to analyze financial flows of drug trafficking. This helps in identifying suspected money transactions linked to organized crime.
If you are a border control technology vendor dealing with the misuse of mail and home delivery services for smuggling — this project developed a real-time intelligence picture to track the drug trafficking chain. This improves the ability to identify physical drug-dealing hotspots.
Based on available project data, no commercial pricing is listed, as the project is funded by an EU contribution of EUR 4,268,160 for development.
Yes, the project involves 19 partners across 9 countries, indicating a design intended for international cooperation among police, customs, and border authorities.
Based on available project data, specific licensing terms are not provided, but the project focuses on creating modular solutions for law enforcement agencies.
The project is designed to be legally and ethically compliant, providing recommendations for harmonization across different legislative landscapes.
The project period runs from 2023-11-01 to 2026-10-31, suggesting that final results will be available by late 2026.
The consortium is heavily weighted toward operational and technical implementation, featuring 19 partners from 9 countries. With a 26% industry ratio (5 companies, including 3 SMEs), the project balances academic research (2 universities, 4 research centers) with practical application through 8 'other' entities, likely law enforcement or government agencies, ensuring the AI tools meet actual field requirements.
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