Abstract: Disclosed embodiments may include a method for automated generative data loss prevention testing. The system may include one or more processors, and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to receive an instruction to perform data exfiltration prevention testing, select one or more data element types and one or more data channels, and select, based on the one or more data element types, one or more test data generation programs from a plurality of test data generation programs. In some embodiments, the memory can be further configured to cause the system to generate and utilize a set of test data to conduct data exfiltration prevention testing. The data exfiltration prevention testing can be conducted by executing one or more transfers and monitoring the one or more data channels.

Abstract: A system and method for data loss prevention (DLP) is disclosed, the system and method including at least: receiving, by one or more computing devices and from one or more remote sources, one or more data streams each containing a textual data; consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes a field indicating from which of the one or more remote sources the textual data for each of the one or more data streams originates; transmitting, by the one or more computing devices, the single data stream to an analytics engine; determining, with the analytics engine, whether the textual data of each of the one or more data streams contains a sensitive data using a reference table; and based on the determining, transmitting, by the one or more computing devices, a request to the one or more remote sources to delete the textual data.

Abstract: Disclosed embodiments may include a method for automated generative data loss prevention testing. The system may include one or more processors, and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to receive an instruction to perform data exfiltration prevention testing, select one or more data element types and one or more data channels, and select, based on the one or more data element types, one or more test data generation programs from a plurality of test data generation programs. In some embodiments, the memory can be further configured to cause the system to generate and utilize a set of test data to conduct data exfiltration prevention testing. The data exfiltration prevention testing can be conducted by executing one or more transfers and monitoring the one or more data channels.

Abstract: Disclosed embodiments may include a method for determining effectiveness of data loss prevention testing. The system may include one or more processors, and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to receive data loss prevention (DLP) sample test data, run a plurality of DLP tests utilizing the DLP sample test data, and identify, for each data element type of a plurality of data element types, an inherent risk measure associated with the data type element. Then, after receiving DLP test results, determine a plurality of data element type-channel effectiveness measures and a plurality of residual risk measures, and output the plurality of residual risk measures for display via a graphical user interface of a user device.

Abstract: Disclosed embodiments may include a method for automated generative data loss prevention testing. The system may include one or more processors, and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to receive an instruction to perform data exfiltration prevention testing, select one or more data element types and one or more data channels, and select, based on the one or more data element types, one or more test data generation programs from a plurality of test data generation programs. In some embodiments, the memory can be further configured to cause the system to generate and utilize a set of test data to conduct data exfiltration prevention testing. The data exfiltration prevention testing can be conducted by executing one or more transfers and monitoring the one or more data channels.

Abstract: A system and method for data loss prevention (DLP) is disclosed, the system and method including at least: receiving, by one or more computing devices and from one or more remote sources, one or more data streams each containing a textual data; consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes a field indicating from which of the one or more remote sources the textual data for each of the one or more data streams originates; transmitting, by the one or more computing devices, the single data stream to an analytics engine; determining, with the analytics engine, whether the textual data of each of the one or more data streams contains a sensitive data using a reference table; and based on the determining, transmitting, by the one or more computing devices, a request to the one or more remote sources to delete the textual data.

Abstract: A system and method for data loss prevention (DLP) is disclosed, the system and method including at least: receiving, by one or more computing devices and from one or more remote sources, one or more data streams each containing a textual data; consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes a field indicating from which of the one or more remote sources the textual data for each of the one or more data streams originates; transmitting, by the one or more computing devices, the single data stream to an analytics engine; determining, with the analytics engine, whether the textual data of each of the one or more data streams contains a sensitive data using a reference table; and based on the determining, transmitting, by the one or more computing devices, a request to the one or more remote sources to delete the textual data.

Abstract: A system and method for data loss prevention (DLP) is disclosed, the system and method including at least: receiving, by one or more computing devices and from one or more remote sources, one or more data streams each containing a textual data; consolidating, by the one or more computing devices, the one or more data streams into a single data stream, wherein the single data stream includes a field indicating from which of the one or more remote sources the textual data for each of the one or more data streams originates; transmitting, by the one or more computing devices, the single data stream to an analytics engine; determining, with the analytics engine, whether the textual data of each of the one or more data streams contains a sensitive data using a reference table; and based on the determining, transmitting, by the one or more computing devices, a request to the one or more remote sources to delete the textual data.