A method for data risk control comprises categorizing batch transaction data in a preset time period according to a first attribute, generating a graph indicator of a corresponding graph for each category of the batch transaction data according to a second attribute, the corresponding graph configured to identify risks in the batch transaction data, inputting the graph indicators corresponding to different categories of the batch transaction data into corresponding risk identification models, and determining whether the batch transaction data corresponding to the input graph indicators has a risk based on results output by the models. This scheme can quickly and accurately identify risks in batch transaction data.