Abstract: Described are techniques for identifying anomalous and non-anomalous requests based on metric values determined from a request. Weights to be associated with particular metric values may be determined based on metric data for those values. The metric data may indicate a total number of accesses by requests having a particular metric value, a frequency of access, or particular access times. Based on the weight values and the metric values for the request, a security score for the request may be determined. The security score may indicate a confidence that the request is anomalous or non-anomalous. Potentially anomalous requests may be determined to be non-anomalous if the metric values correspond to known sets of metric values, determined from previous requests. In some cases, metric data may be normalized prior to use to facilitate faster queries and conserve available data storage.

Abstract: Techniques are described for automatically determining application composition and application ownership of an application that may include a plurality of files deployed to a plurality of host devices. The determination of application composition may be based on analyzing various types of metadata that may provide evidence of associations between deployed files, such as metadata describing the deployment of files to host devices, metadata describing the files tracked within a source control system, or other types of metadata. The determination of application ownership may also be based on analyzing the various types of metadata that provide evidence of associations between files and individuals or groups of individuals within an organization.