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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.

The DIU Commercial Solutions Catalog is a compilation of both our successful and transitioned prototypes. In conjunction with our Department of Defense (DoD) partners, we have evaluated, adapted, and tested these commercial solutions to solve your organization’s AI/ML, autonomy, cyber, human systems, and space challenges.

Prototype “Success Memos,” which enable DoD and U.S. Government (USG) entities to enter into Production Other Transaction agreements without re-competing, are available through DIU.

If you work for a DoD or USG organization, these technology solutions are available for purchase right now. To learn more about whether these capabilities can meet your organization’s unique operational needs or how to acquire them, please send a direct inquiry through DIU’s Contact Us page.