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The intelligence community faces innovative adversaries that effectively exploit financial systems to fund illicit activities.
Challenge
The intelligence community (IC) needs to monitor transactions dispersed across multiple applications and cloud regions around the world.
Monitoring the pattern of life behavior of individuals conducting international transactions means analysis is hampered by the scope, scale, and limitations of data.
Difficulty preventing fraudulent transactions from happening at the speed of global travel and inter-institutional money movements.
Solution
Devron deployed on siloed transactional consumer financial application data to learn from trends across the globe without needing data centralization.
Connect to relevant databases across the globe that have tabular (SQL, CSV) data storing transactional history, geolocation movements, parties involved and amounts.
Trained models predict transactions meant to inflame political tensions, detect anomalies to track adversaries, and use geolocation movements to prevent adversarial transactions.