If you are a threat intelligence provider dealing with fragmented data on state-sponsored disinformation — this project developed a unified knowledge database that allows for better detection of tactics, techniques, and procedures. This helps in attributing attacks to specific actors more accurately.
Secure AI-Powered Intelligence System to Combat Foreign Information Manipulation and Interference
Imagine a shared digital library where different countries store clues about fake news campaigns and digital attacks. Instead of every country trying to solve the puzzle alone, they use a secure common space to spot patterns and stop them faster. It is like a neighborhood watch for the internet, but for governments and security firms.
What needed solving
Current defenses against foreign information manipulation are fragmented and unaligned. This prevents member states and private actors from effectively banning, sanctioning, or attributing disinformation campaigns.
What was built
A FIMI knowledge database for secure data exchange and a pilot Resilience Council to act as a data guardian between state and non-state actors.
Who needs this
Who can put this to work
If you are a crisis management agency dealing with rapid-fire disinformation campaigns targeting clients — this project developed a standardized analysis system that improves the response speed for private actors. This ensures a more systematic way to counter harmful narratives.
If you are an AI software developer dealing with a lack of structured data for training disinformation detection models — this project developed a secure data space for cross-border analysis. This provides a structured environment to refine AI-supported tools for policymakers.
Quick answers
What is the cost or pricing for using this system?
Based on available project data, there is no mention of a commercial price or licensing cost, as it is an EU-funded research initiative.
Can this be scaled to a global industrial level?
The project is currently piloting the system within a small coalition of 4 countries (Poland, Lithuania, Finland, the Netherlands), suggesting a phased scaling approach.
Who owns the IP and how is licensing handled?
Based on available project data, specific IP and licensing terms are not provided; however, it involves a consortium of 6 partners including SMEs and research centers.
How does this integrate with existing security tools?
The project aims to synchronize interventions and harmonize the approach to FIMI, similar to how cyberattack responses are currently handled.
What is the timeline for deployment?
The project period runs from 2024-02-01 to 2027-01-31.
Who built it
The consortium is lean and specialized, consisting of 6 partners across 4 countries. With 3 SMEs and a 17% industry ratio, the group is heavily weighted toward research and public-sector expertise, which is typical for high-security governance projects. The presence of partners from the EU's Eastern regions provides the necessary hands-on experience with active FIMI incidents.
Contact SIEC BADAWCZA LUKASIEWICZ - PORT POLSKI OSRODEK ROZWOJU TECHNOLOGII in Poland
Talk to the team behind this work.
Contact us to explore how to integrate this FIMI knowledge database into your security stack.