Sandeep Kampa

Artificial Intelligence (AI) technologies have proven remarkable advancements in recent years, revolutionizing various sectors. However, with the rapid growth and integration of AI systems, new cybersecurity threats have emerged. This research paper aims to analyze the cybersecurity challenges associated with AI and explore potential countermeasures. By examining the existing literature and case studies, this study provides insights into the vulnerabilities and risks posed by AI systems, emphasizing the need for robust security measures to safeguard AI applications and infrastructure. Artificial Intelligence (AI) is enabling the development of powerful tools and techniques that can automate various tasks, including analyzing and generating source code. While AI can greatly benefit software development, it also poses new security challenges, particularly when it comes to protecting source code from adversarial AI attacks. This research paper aims to explore the vulnerabilities of source

As a developer, it is important to know the value of Security in developing an application

System And Software Requirements In Relation To Observability And Explainability Sandeep Kampa, Member, IEEE AbstractSoftware maintenance and evolution are crucial aspects of software development. In today's world, observability and explainability are becoming essential requirements for software sys-tems. This research paper investigates the relationship between software maintenance and evolu-tion with observability and explainability. The paper explores the importance of observability and explainability in software systems and how they impact the maintenance and evolution of software systems. The research paper presents various techniques and tools for achieving observ-ability and explainability in software systems. The paper also highlights the challenges and fu-ture research directions in the field of software maintenance and evolution in relation to observ-ability and explainability.