EUROPEAN PROJECTS / Identity Attributes Matrix Initiative - IAMI

Identity Attributes Matrix Initiative - IAMI

Responsible for the project: CSI, Dr. Carmen Elena CIRNU

General objectives of the project:

  • Assess challenges faced by LEAs and intelligence agencies in biometric and non-biometric identification for counterterrorism.
  • Gather user requirements and define system features in collaboration with relevant agencies.
  • Explore and classify data sources and interfaces for identity attribute collection in compliance with EU ethics and privacy laws.
  • Design, develop, and integrate a prototype AI-powered IAMI system (TRL 5–7).
  • Develop APIs for integration with case management systems, analytic tools, and inter-agency data galleries.
  • Acquire high-quality, GDPR- and EU AI Act-compliant datasets for AI training.
  • Train and optimize AI models in line with ethical, legal, and technical frameworks (e.g., AP4AI).
  • Ensure regulatory compliance, conduct risk assessments, and implement cybersecurity measures.
  • Establish a Security Advisory Board (SAB) for supervision of sensitive results and security matters.
  • Validate the integrated prototype system through testing, calibration, and real-world demonstrations.
  • Link with EUROPOL, INTERPOL, and EU agencies to explore adoption and integration of the IAMI system.
  • Collect feedback from end-users and stakeholders to refine and improve the system.
  • Develop and implement a dissemination strategy through publications, conferences, and workshops.
  • Create training curricula and manuals, and organize practical training sessions for end-users.
  • Analyze societal sentiment and assess economic and societal impacts of the IAMI solution.
  • Ensure effective project governance, technical coordination, and risk management.
  • Maintain a FAIR-aligned data management plan.
  • Foster synergies and cluster with other relevant European research projects.

Description

Project description:

The project's long-term vision is to propel EU LEAs and security/intelligence organizations into a new era of intelligence, investigation, and forensic capabilities. IAMI's core innovation is the development of an AI-powered software system that can seamlessly integrate with existing case management systems and analytic tools. At the heart of IAMI is the concept of the 'Identity-Attributes-Matrix (IAM)', a 3D construct that encompasses a broad spectrum of multi-modal identity-related attributes, including biometric data, non-biometric identity-related data, and analytic results. These attributes are used to facilitate large-scale entity identification/resolution, including a broader range of entity types, simultaneous and rapid multi-entity identification/resolution, systematic and continuous analysis of flux of probe attributes, confidence in noisy/corrupted probe data, reduced false positive rates, access to contact attributes, and the ability to classify fake identities and bots/avatars. Furthermore, IAMI sets the groundwork for effective collaboration and data sharing across European agencies, including international organizations like EUROPOL and INTERPOL through the establishment of a new EU-Wide IAMI enrolled data collection repository for terrorist threat assessment and awareness which enriches their capabilities and assets. The realization of IAMI's vision will be achieved through the demonstration of the developed IAMI solution. It will be communicated and disseminated among EU LEAs and security/intelligence agencies through project activities, including deliverables, training curricula, workshops, and pilots. IAMI represents a significant step forward in EU fight against terrorism.

Results:

  • Demonstrated prototype of the AI-powered IAMI software system
  • Enhanced identification and resolution for biometric and non-biometric attributes
  • Reduced false positive rates in entity identification
  • Classification capabilities for fake identities, bots, and avatars
  • Simultaneous and rapid multi-entity identification and resolution
  • Integration with existing case management systems and analytic tools via APIs
  • Establishment of a shared EU-wide repository of enrolled identity attributes
  • Development of standardized training curricula for LEAs and intelligence agencies
  • Organization of five workshops and two pilot demonstrations
  • Training of at least 30 EU agencies on the IAMI system
  • Publication of at least two scientific journal articles and two conference papers
  • Collaboration with at least five European research institutes or universities
  • Adoption of the IAMI system by at least 10 EU LEAs and security agencies
  • Collaboration with EUROPOL and/or INTERPOL
  • Economic impact through cost savings and improved operational efficiency
  • Job creation in AI, cybersecurity, and digital identity fields
  • Compliance with EU legal, ethical, and privacy frameworks
  • Improved security and public trust through responsible AI implementation
Short description

IAMI aims to revolutionize entity identification and resolution in security, intelligence, and investigation contexts. It addresses the challenges and limitations faced by current entity identification and resolution techniques. This is done by an advanced AI-powered system designed for large-scale continuous analysis of the flux of probe attributes.