Abstract: Methods and systems for detecting personally identifiable information in data associated with a cloud computing system are described. An example method includes ingesting the data associated with the cloud computing system to generate source data. The method includes processing the source data by: performing cell-based de-duplication to generate cell-based de-duplicated data, subjecting the cell-based de-duplicated data to regular expression classification to generate a first subset of initial results, tokenizing the cell-based de-duplicated data to generate tokenized data, and de-duplicating the tokenized data and subjecting de-duplicated tokenized data to a first named entity recognition classification to generate a second subset of the initial results. The method includes cross-referencing the cell-based de-duplicated data and the initial results and subjecting output of the cross-referencing to a second named entity recognition classification to generate final results.

Abstract: Techniques for generating an identifier index table (IIT) and for executing queries are disclosed. The IIT maps different labels used among different data sources to a commonly defined data type. The IIT is used to generate a set of queries that are executable based on selection of the commonly defined data type and that are executable against the different data sources to search for an indicator of compromise (IOC) within the different data sources. The results from the queries are analyzed in an attempt to identify the IOC.

Abstract: A computer system is provided that includes a cloud platform that includes a plurality of nodes. Each node includes a processor configured to run virtual machines. The cloud platform includes a fault condition injection engine configured to generate fault conditions on selected nodes of the plurality of nodes. The computer system further includes a user interface system configured to receive user input of fault condition experimentation parameters from a user for a target virtual machine associated with the user. The cloud platform allocates a set of nodes of the plurality of nodes for a controlled sandbox environment configured to run the target virtual machine of the user. The fault condition injection engine generates fault conditions on the allocated set of nodes based on the fault condition experimentation parameters.

Abstract: A computer system is provided that includes a cloud platform that includes a plurality of nodes. Each node includes a processor configured to run virtual machines. The cloud platform includes a fault condition injection engine configured to generate fault conditions on selected nodes of the plurality of nodes. The computer system further includes a user interface system configured to receive user input of fault condition experimentation parameters from a user for a target virtual machine associated with the user. The cloud platform allocates a set of nodes of the plurality of nodes for a controlled sandbox environment configured to run the target virtual machine of the user. The fault condition injection engine generates fault conditions on the allocated set of nodes based on the fault condition experimentation parameters.