Abstract: An example credit line adjustment system includes: at least one processor; and memory encoding instructions that, when executed by the at least one processor, causes the at least one processor to generate a graphical user interface including: a first section identifying a first credit line owned by a user, the first section providing a first credit limit amount for the first credit line, and the first section including a first control that receives input from the user to manipulate the first credit line; a second section identifying a second credit line, the second section including a second control that receives input to transfer at least a portion of the first credit line to the second credit line.

Abstract: An example credit line adjustment system includes: at least one processor; and memory encoding instructions that, when executed by the at least one processor, causes the at least one processor to generate a graphical user interface including: a first section identifying a first credit line owned by a user, the first section providing a first credit limit amount for the first credit line, and the first section including a first control that receives input from the user to manipulate the first credit line; a second section identifying a second credit line, the second section including a second control that receives input to transfer at least a portion of the first credit line to the second credit line.

Abstract: Systems and methods for using machine-learning techniques to provide risk assessment based on multiple sources of data are described herein. Data about an entity can be received, and the data can be authenticated. Integrated risk data about the entity can be received. The integrated risk data can include traditional risk assessment data and nontraditional risk assessment data. An integrated risk assessment value can be determined based on the integrated risk data by aligning a first output from a first risk assessment model and a second output by a second risk assessment model. A responsive message including at least the integrated risk assessment value and associated information for the entity can be transmitted to a remote computing device for use in controlling access of the entity to one or more interactive computing environments.

Abstract: A credit line adjustment system that initiates and processes credit line increases and/or credit line allocations between multiple credit lines in response to credit line adjustment triggering events. In some examples, the system can obtain, for at least one existing credit line provided by an account provider to an account holder, information about a credit line adjustment triggering event. The system can also initiate a credit line adjustment for the account holder in response to the credit line adjustment triggering event, the credit line adjustment including an increase in the credit limit on the at least one existing credit line.