Patent ID: 11868852
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A computer-implemented method, comprising:
processing a set of data objects using a trained random forest regressor to estimate at least a respective risk score for the data objects of the set, the data objects including respective features indicative of a type of access to be granted to the data objects, the random forest regressor trained using a selected subset of the features;
applying at least one respective security policy to the data objects of the set based at least in part upon the respective risk score, the at least one respective security policy specifying at least access permissions for the set of data objects;
receiving an indication that a respective risk score, estimated for a specified data object of the set, is incorrect;
generating a representation including data objects as nodes clustered according to contributions of the respective features of the data objects, relative locations of the data objects with respect to one another based, at least in part, on the respective features;
determining that the specified data object is represented within a sub-cluster of erroneously scored data objects, the sub-cluster being identifiable using one or more visual indicators for respective data objects of the sub-cluster in the representation, the sub-cluster including at least a threshold percentage of total nodes forming a cluster;
selecting a new subset of the features for training the random forest regressor based at least in part upon the feature contributions for the sub-cluster of erroneously scored data objects;
retraining the random forest regressor using the new subset of features;
generating a new respective risk score for at least a subset of the data objects of the set; and
applying at least one different security policy to the subset of the data objects having the new respective risk score.