Effective fraud protection requires

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The data sets are vast and only growing. This is especially true with the accelerated digital transformation brought on by the pandemic and the pace at which new apps and digital channels are evolving. With each new digital channel comes a new opportunity to collect more data that can ultimately be used to distinguish a valuable customer or citizen from a fraudster, legitimate transactions or apps from criminal ones.

leveraging data from a variety of sources. In addition to internal sources (cited by 80% of respondents), organizations should not neglect the use of external data. For example, incorporating open-source data, law enforcement, government, and device data can be a significant factor when leveraging proven analytics techniques such as exception reporting and anomaly detection, or more advanced ML and AI models.

Criminals are constantly changing their strategies to cambodia mobile database gaps in organizations’ defenses and make off with stolen money. Fraud fighters must be equipped with the right technologies—from traditional data analytics to new capabilities like biometrics and computer vision—to understand and implement countermeasures that will keep them ahead in this technology arms race.