Abstract: Hydrate inhibitor and corrosion inhibitor composition are disclosed and include from about 10 wt-% to about 99.9 wt-% of an anti-agglomerant low dose hydrate inhibitor (AA-LDHI), wherein the AA-LDHI is a zwitterionic compound or a cationic ammonium compound; from about 0.01 wt-% to about 50 wt-% of a corrosion inhibitor, and at least one additional functional ingredient, solvent, or a combination thereof. Methods for inhibiting corrosion and formation of gas hydrate agglomerants in a fluid are disclosed and include contacting the fluid with a hydrate inhibitor and corrosion inhibitor composition or contacting the fluid with an AA-LDHI, wherein the AA-LDHI is a zwitterionic compound or a cationic ammonium compound, and a corrosion inhibitor, wherein the AA-LDHI and corrosion inhibitor are provided at a weight ratio of about 1:0.001 to about 1:1, and wherein the composition inhibits general and localized corrosion and formation of gas hydrate agglomerants in the fluid.

Abstract: The present invention generally relates to one or more compositions and methods for inhibiting the formation of gas hydrate agglomerates in a fluid. The fluid may be contained, for example, in an oil or gas pipeline or refinery.

Abstract: The present invention generally relates to one or more compositions and methods for inhibiting the formation of gas hydrate agglomerates in a fluid. The fluid may be contained, for example, in an oil or gas pipeline or refinery.

Abstract: Sensitive file accessing trends can be visually represented. In one embodiment, the present invention includes receiving, in a graphical user interface (GUI), a first user input indicating a selection of one folder from a plurality of folders, and identifying a plurality of sensitive files in the selected folder using one or more data loss prevention policies. In one embodiment access usage data for the sensitive files can be obtained and the number of users accessing the sensitive files within a plurality of time intervals can be determined using the access usage data. Finally, a usage trend representation comprising a visual illustration of the number of users accessing the sensitive files within each of the plurality of time intervals can be displayed to a user.

Abstract: A method for calculating a risk score of a data object may include obtaining a severity level associated with a data object. The severity level may be calculated based on presence of confidential information in the data object. The data object may be a file or a folder. The severity level may be calculated using a data loss prevention policy. The method may further include obtaining metadata associated with the data object. The metadata may comprise at least one of access permission data for the data object and access usage data for the data object. The method may further include calculating a risk score for the data object based on the severity level and the metadata associated with the data object.