Securing Autonomous Intelligent Automation Through Development, Security, and Operations Framework (DevSecOps) and Cloud-Native Serverless Architecture

Abstract

With rapidly evolving technology, implementing a secure and efficient way to develop an automation process has become a critical aspect for any organization’s success. With the current state of the technology, a traditional development methodology sometimes falls short in addressing the threats and rapidly changing business requirements. This research explored the implementation of Autonomous Intelligent Automation through the development, security, and operations framework and cloud-native serverless architecture. It aimed to improve the efficiency, accuracy, and scalability of an organization by streamlining the business processes that are time-consuming, repetitive, and voluminous, and leveraging and combining cutting-edge technologies and methodologies in software development. This research used one of the processes currently existing in Isabela State University-Main Campus as a pioneer process to implement Autonomous Intelligent Automation and validate its effectiveness in terms of efficiency, accuracy, and scalability. Autonomous Intelligent Automation is a way to eliminate human error in a process. By means of intelligently mimicking what the end user does to accomplish a task, it results in a quality service that is efficient, accurate, and scalable. Implementing DevSecOps is an approach to combine and integrate the Development (Dev), Security (Sec), and Operations (Ops) to impose security in all phases of development cycle.