Abstract: Aspects of the disclosure relate to generating a multi-platform remediation infrastructure based on intelligently forecasting and configuring a remediation schedule. The computing platform may continuously analyze components within the enterprise organization infrastructure to identify at least one vulnerability within the infrastructure. The computing platform may group the vulnerabilities based on identified similarities and may identify, for each group, a time during which each vulnerability may be remediated. The computing platform may use the times to generate a remediation schedule and may analyze the remediation schedule to determine whether the schedule comprises anomalies. Based on determining the remediation schedule does not comprise anomalies, the computing platform may remediate the vulnerabilities indicated on the remediation schedule.

Abstract: Systems, computer program products, and methods are described herein for end-to-end automation of network infrastructure development changes. The present disclosure is configured to collect and archive data comprising feature logs, resource logs, and events in a central historical data storage. This data is subsequently normalized and events are correlated to specific features. This correlation involves locating differences in pre and post-deployment feature performance, which includes resource utilization, and maintaining a history of the analyzed data in the central historical data storage.