FALCON Tool Ecosystem

The FALCON Tools Ecosystem is organised into four strategic intelligence domains, each of which addresses a key aspect of anti-corruption efforts:

→ Who is connected?

FALCON Dashboard / Knowledge Graph Analysis — all Use Cases

The FALCON Dashboard is the entry point to all FALCON tools.
4 languages: English, German, French, Romanian
offers investigation through knowledge graphs created upon the FALCON Knowledge Base (KB), consisting of nodes and connections between them (e.g. “Person A” knows “Person B”)
→ making relationships visible & discover hidden patterns
a statistic functionality allows to extract more insights from the Knowledge Graph
all FALCON tools have read and write access to the Knowledge Base, and it can also be updated manually

OSINT (Open-Source Intelligence) tool — Use Case 1 & 4 – scenario 2, Use Case 3

supports open-source information collection, e.g. on relationships between people or ownership structures
sources include news, blogs, PEP lists (PEP = politically exposed person), sanction lists, and EU tenders
allows investigators to configure the crawler scope, define subjects and search terms, and review structured results that can contribute to broader case knowledge

→ Where to look first?

ACRA (Advanced Corruption Risk Assessment) Tool — Use Case 1, 2 & 4

supports risk assessment and relationship analysis across public procurement, company data and border-corruption scenarios,
e.g., search for and filter tenders, find irregularities, show risk score, search for companies
empowers users to conduct sophisticated risk analyses by exposing risk indicators, search functions, risk assessment views, network-oriented analysis, and geospatial support

Predictive Analytics — Use Case 1 & 4 – scenario 1

designed to assist LEAs in analysing public procurement processes and identifying patterns that may indicate irregularities, such as single bidding scenarios
by leveraging data from tenders in different countries, the tool predicts the likelihood of single bidding for a specific procurement lot

→ Follow the money

KRIPTOSARE Crypto/Fiat — Use Case 2 & 3

analyses crypto-asset and Fiat transactions to support follow-the-money investigations
utilises graph analysis, visual analytics and Artificial Intelligence (AI) techniques to extract information and behavioural insights from cryptocurrency addresses/bank accounts based on the transactions in which they are involved

Trends Detection tool — Use Case 2

supports temporal analysis of cryptocurrency-related activity and receiver patterns
complements crypto-asset analysis by providing a dedicated entry point for address-based trend investigation

→ Detect suspicious behaviour

Border Corruption Investigation tool

uses international transit logs to provide actionable insights into border-crossing activities to enhance border security
leverages predefined indicators (like frequent short visits, always the same border guard etc.) to flag suspicious activities and detect potential criminal networks through data analysis

Car Visual Recognition

analyses video feeds in real-time to identify the vehicle type and license plates of cars crossing border control points
license plate, time, lane, and direction is automatically transferred to the Knowledge Base

VIN (vehicle identification number) mobile app

app for border guards, that decodes the VIN (make, model, year), and checks for stolen status
the data is transferred to the Knowledge Base, tying VIN to license plate, time, and officer

Benefit of the FALCON Tools

Single dataset

Multi-source fusion

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Manual analysis

AI-assisted prioritisation

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Separate systems

Unified platform

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Reactive investigations

Early detection

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Limited visibility

Full network picture

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