Fighting Cybercrime – Law Enforcement Practitioners’ Network

A project to build and maintain an innovation-driven network of LEAs combating cybercrime - accelerating the EU’s ability to counteract growing pressures of cyber threats.

Heeding advice from EUROPOL’s EC3 flagship report Internet Organised Crime Threat Assessment, CYCLOPES create synergies between LEAs from MS and connect industry and academia by stimulating and sustaining dialogue on pressing security matters threatening the stability of Europe and Citizen safety.

Dedicated teams will scour markets, identifying solutions and research activities to highlight actions and innovative products to assist LEAs tackle the complexity of cybercrime.

Besides technology, the project supports continued development of LEAs, working closely with practitioners to define current capacities and elicit capability gaps and requirements in crucial areas: procedures, training, legal and standardisation.

Consequently, other objectives are: identification of priorities for standardisation; recommendations for innovation uptake and implementation; social, ethical and legal reports providing guidance and training suggestions for cybercrime investigators; dissemination of results through workshops, conferences, webinars, publications, policy papers and media.

All outcomes will be suitably considered for exploitation - helping to propel the EU in the fight against cybercrime.

Practitioners’ workshops are a driving force behind the project and cover three 3 domains: 1) cybercrime affecting people directly, 2) cybercrime affecting systems, 3) digital forensics.

The project is to synchronise with other activities conducted by relevant parties EUROPOL, INTERPOL, CEPOL, ECTEG, ENISA; networks: ENLETS, ENFSI, I-LEAD, iLEAnet, EU-HYBNET, covering topics that go beyond efforts of these initiatives and preventing duplication.

This also applies to projects where activities align with CYCLOPES (i-ProcureNet, Stairs4Security) and future projects funded by the EC, especially in the area of AI.