Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for resolving a contextual ticket. The methods, systems, and apparatus include actions of receiving a request from a user to generate a contextual ticket that indicates an issue with an integration, obtaining baseline information for the issue, generating, based on the baseline information, a ticket knowledge graph, providing the ticket knowledge graph to a machine-learning trained action determination engine, receiving, from the machine-learning trained action determination engine, an indication of an action for resolving the issue, and initiating, based on the indication of the action for resolving the issue, the action for resolving the issue.

Abstract: Examples of an API assessment system are provided. The system may obtain a security assessment requirement from a user for surveillance of a plurality of application programming interfaces. The system may create a data corpus from the assessment data associated with the query. The system may create a sequence classification model from the data corpus. The system may identify a plurality of risk parameters and a plurality of risk mapping levels associated with the query. The system may create a risk profile for the plurality of application programming interfaces based on mapping the plurality of risk parameters to the plurality of risk mapping levels and the sequence classification model. The system may create a rectification corpus and a data rectification model comprising a plurality of remediations for automated healing of a risk identified by the risk profile. The system may generate a security assessment result for the resolution of the query.