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Quantifind —
AI for Adversarial Network Discovery

The Problem This Solution Solves

Transnational illicit networks develop and employ digitally-rich false identities to avoid surveillance, anonymize funding sources, and mask their movements. These networks hide illicit operations within traditional systems of trade, finance, and commerce, leaving a digital footprint that is discoverable in the open source. This information is difficult to extract and transform into high-fidelity insights that can help counter and disrupt nefarious illicit networks at their most vulnerable nodes of operation.


The Solution

This solution uses machine learning technology to  identify, track, expose, and counter transnational illicit networks across borders and at scale. It Increases the  detection of illegal or anomalous activities by adversarial networks –  and their associated individuals and/or organizations –  to help the DoD optimize analytic workflows and empower analysts to discover nefarious activity at a speed and scale not previously possible.

Quantifind is one of the many companies we have contracted with in a variety of focus areas.