Blockchain

Use DataRobot to maintain security and trust in your blockchain system

As a relatively new financial system, blockchain is particularly vulnerable to security threats. Build and deploy machine learning algorithms that can detect anomalous behavior anywhere along the chain.

Problem/Pain

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.

Solution

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.

Detect Credit Card Transaction Fraud
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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.

White Paper
Driving Efficiency in Cyberspace Through AI
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