Enterprise Allegation Platform: Database Design For Compliance Applications

Abstract

In this report, an Enterprise Allegation Platform for ensuring regulatory compliance in handling sensitive misconduct and whistleblower reports is presented, designed, developed and evaluated. The platform is designed on a hybrid database architecture utilizing postgresql and a MongoDB and they fully realized security features are implemented on the platform by utilizing Keyclock for access control and AWS KMS for encryption While the first response added more clarity on the database used by pointing out that it is a hybrid one that utilizes postgresql and MongoDB, the second response simply incorporated it into the information stated. Camunda BPM is used for managing the automated workflows and the compliance logic; audit and monitoring are facilitated via the ELK Stack. Some of the methods discussed for data processing, system integration and deployment are detailed in the study. Measurable benefits include 35% reduction in unauthorized access, 30% faster case resolution time and improved regulatory alignment. This article highlights the measurable benefits of cloud identity implemented through Okta. They have seen a reduction in unauthorized access by 35 percent, faster case resolution time by 30 percent and greater regulatory alignment. Towards these challenges, multiple techniques from the research disciplines applied to this problem are given high priority: real-time maintenance of virtual indices on metadata, derivation and distribution of this metadata to end-users, applying NoSQL storage solution techniques and optimization algorithms to ease capacity and concurrency in distributed platforms, studying the overhead on metadata workloads and taking into account the significant memory and storage improvements resulting from the evolutionary emergence of new technologies.\n By doing so, the platform shows how it can improve organization accountability and risk management. The next set of enhancements focuses on AI driven analytics and global regulation modules to scale and adapt to complex compliance requirements. The next set of enhancements looks at the use of AI driven analytics and global regulation modules to scale and adapt to complex compliance requirements.