Abstract: A system is provided for artificial intelligence-based detection and remediation of issues during software onboarding and deployment. In particular, the system may comprise an artificial intelligence (“AI”) engine that may be configured to identify gaps and/or potential issues in an onboarding and/or integration process for a computing software solution. In this regard, the AI engine may identify the variables and/or parameters of the target computing environment and the variable and/or parameters of the incoming software. Based on the variables and/or parameters, the AI engine may determine the potential issues that may arise during onboarding, how such issues may affect the target computing environment, and/or the remediation processes that may be required to resolve the issues. In this way, the system may provide an efficient way to identify and remediate potential issues during the software onboarding process.

Abstract: A system is provided for identification of security vulnerabilities using artificial intelligence-based analysis of computing environment logs. The system may analyze data logs associated with each of the endpoint devices associated with a software packet or service. Using an artificial intelligence engine, the system may identify the failure points of the software packet or service, which may result from outdated or nonfunctional code, incorrect parameter configuration, lack of computing resources, and/or the like. The system may further detect security issues associated with the software packet or service, such as a failure to mask or obfuscate sensitive data. Based the identified failure points, the system may generate recommended remediation processes to remediate the failure points. In this way, the system provides a way to remediate failure points in software using intelligent analysis of data logs.