CRYPTOACTION · Combating CRYPTO-currency-Facilitated Crime and Terrorism with Interoperable, Trustworty, AI-Enhanced, Collaborative Tools, Improved Information Sharing, Operations, and Training for LEAS

CryptoACTION represents Europe’s most ambitious attempt to date in equipping LEAs with mission-appropriate tools to support investigations pertaining to Cryptocurrency-Facilitated Crime and Terrorism (CFCT) activities (money laundering, darknet marketplaces) improve investigation operations including external collaboration workflows and provide comprehensive training curricula for LEAs/prosecutors/judiciary and the world’s first cryptorange. It will deliver an ecosystem of independent but interoperable lawful-investigation tools offering AI co-piloting capabilities to enhance investigator efficiency and supporting the intelligent corelation of blockchain data, structured data from anti-CFCT databases, text, audio and visual data modalities, stemming from lawful surveillance activities and darknet/deepnet/clearnet scraping. It will address technologies/mechanisms that hinder LEA investigations into CFCT, such as TOR, mixers, DEXs, Monero and other privacy coins, etc. both head on and laterally, taking advantage of weaknesses in design/implementation vulnerabilities or human errors on the side of criminals and lawful multi-modal intelligence gathering provided by the tools it will develop and/or enhance. Consortium LEAs will co-design and help validate the CryptoACTION LEA tools and support additional LEA engagement via organising collaborative capacity building workshops based on CryptoACTION training courses and tools. CryptoACTION will take a holistic view of the CFCT landscape and the anti-CFCT efforts, both at the beginning, to guide project efforts, and upon its conclusion, to provide recommendations for further actions, including potential recommendation for regulation and for moving away from cryptocurrency analysis tools giving black-box results to tools, such as those CryptoACTION will deliver, that offer explanations for their results (including any assumptions and uncertainties) and embrace the 7 EU principles of trustworthy AI.