EITHOS explored how AI can be used responsibly and legitimately in law-enforcement settings, with a strong focus on ethics, governance, accountability and human oversight. DETECTOR builds on this experience by applying these principles to the specific challenge of deepfake and synthetic-media detection.
The connection supports the transfer of knowledge, methodologies and lessons learned, while DETECTOR provides an opportunity to carry the EITHOS legacy forward into practical forensic research.
CYCLOPES established a European network of law-enforcement practitioners working to identify cybercrime capability gaps, training needs and opportunities for innovation.
DETECTOR engaged directly with this community through a practitioner workshop on deepfake detection tools and training. The exchange provides DETECTOR with valuable operational requirements and gives practitioners an opportunity to influence how future synthetic-media solutions are developed.
DETECTION HUB brings together EU-funded security projects working on innovative detection technologies and promotes cooperation with law enforcement, customs authorities, researchers and other end users.
Through its membership, DETECTOR can exchange experience on common detection challenges, stakeholder engagement and routes towards uptake. DETECTOR contributes a complementary perspective centred on synthetic media, digital evidence verification and forensic AI.
The LEA Projects Cluster connects a large community of EU-funded security projects around shared law-enforcement challenges.
Membership gives DETECTOR opportunities to exchange knowledge and good practice, coordinate stakeholder and policy engagement, explore synergies and avoid duplication with related research. DETECTOR contributes expertise around deepfakes, forensic AI and the growing challenge of maintaining trust in digital evidence.
Review: Insights from the First WG1 Policy Scoping Brief on Cyber and Digital Crime
DETECTOR participated in CEPOL’s Pitch Match Innovation Forum, which connects EU-funded security research with CEPOL instructional designers and training activity managers.
The engagement provides an opportunity to align DETECTOR’s training and capacity-building work with existing law-enforcement learning needs and explore how project results could complement established training. For CEPOL, initiatives such as DETECTOR provide access to emerging research and practitioner-focused knowledge that can help keep training responsive to new threats.
The UK Home Office Deepfake Detection Challenge brought together government, law enforcement, academia and technology providers to test deepfake-detection capabilities against realistic scenarios.
While the Challenge is not a formal DETECTOR activity, the close thematic connection creates valuable opportunities for knowledge exchange. DETECTOR can learn from benchmarking, operational scenarios and identified detection gaps, while sharing its European research perspective and developing connections with experts working on complementary solutions.
TESSERA (Towards thE dataSetS for the European secuRity dAta space for innovation) was an EU-funded initiative under the Internal Security Fund (ISF) focusing on defining foundational requirements for trusted, shareable security datasets. The collaboration with DETECTOR involves knowledge exchange on AI evaluation frameworks and synthetic data generation, aligning DETECTOR's digital evidence authenticity work with TESSERA's national architecture requirements to combat AI-generated threats.
