Logic may detect fraudulent transactions. Logic may determine, by a neural network based on the data about a transaction, a deviation of the transaction from a range of purchases predicted for the customer, wherein the neural network is pretrained to predict purchases by the customer based on a purchase history of the customer. Logic may compare the deviation of the transaction from purchases predicted by the customer against a deviation threshold to determine whether the transaction is within the range of purchases predicted by the neural network. Logic may generate a notification in response to a determination that the deviation of the transaction from the range of purchases predicted exceeds a deviation threshold, the notification to identify the transaction as a potentially fraudulent transaction. Logic may train the neural network based on the transaction in response to a determination that transaction is not a fraudulent transaction.