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.
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.
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.