In an embodiment, a data processing method comprises creating and storing a scoring threshold value that is associated with determining whether a baseline operation rule is to be generated; receiving, from service monitoring processes, datasets of operations performed on digital objects by processors associated with computer applications; aggregating operations and identifying operation properties from the aggregated operations to generate an aggregated baseline dataset that represents operation properties from aggregated operations; assigning score values to each of the operation properties, wherein each assigned score value represents whether a particular operation property is a candidate for generating a rule that defines expected operation property values for the particular operation property; automatically generating a set of baseline operations rules for only those operation properties that have assigned values that exceed the score threshold value. The set of baseline operations rules is programmed to detect anomalous operations that contain unexpected operation property values.
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