1. A method comprising: training, by a processing device, a machine learning-based detection (MLD) profile, wherein the MLD profile is used to classify new data as sensitive data or as non-sensitive data; and providing a confidence level threshold for the MLD profile to a user, wherein the confidence level threshold is used as a boundary between the sensitive data and the non-sensitive data, wherein providing the confidence level threshold comprises setting a default value of a confidence level threshold user interface element to the confidence level threshold, and wherein the confidence level threshold user interface element allows the user to change the confidence level threshold, wherein the MLD profile is used to classify new data by using the MLD profile to assign a confidence value to the new data and classifying the new data as the sensitive data in response to determining that the confidence value of the new data is above the confidence level threshold, wherein the confidence value is from a range of confidence values, and wherein a higher value in the range of confidence values indicates a higher likelihood of being the sensitive data than a lower value in the range of confidence values.