Banking Financial Services FinTech Risk / Security Decrease Costs Reduce Risk
As a relatively new financial system, blockchain is particularly vulnerable to security threats. Build and deploy machine learning algorithms that can detect anomalous behaviour anywhere along the chain.
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Crypto-currency and distributed ledger technology are among the most exciting developments in fintech. The ability to record transactions in a transparent manner without an intermediary has revolutionary applications for the financial ecosystem. But maintaining security and trust in the system is paramount.


DataRobot’s automated machine learning platform is well-suited to identify and help prevent identity theft, fraud, and illicit transactions in the blockchain, by developing and deploying algorithms that can detect anomalous behavior anywhere along the chain.

Why DataRobot

Click a button and build accurate models to predict potential intrusions across multiple vulnerability vectors at rapid speed. DataRobot uses a variety of data sources and runs multiple algorithms that allows for actionable activity against potential security threats before they happen.

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