Addressing Privacy and Security Concerns in AI-Driven Software Development Life Cycle

EasyChair Preprint 12600

Abstract

As Artificial Intelligence (AI) continues to revolutionize various aspects of software development, it brings along significant privacy and security implications. This research paper investigates the challenges posed by AI-driven software development life cycles (SDLCs) in terms of privacy and security. It explores the potential risks associated with AI technologies, analyzes current strategies and frameworks for addressing these concerns, and proposes guidelines and best practices to mitigate privacy and security risks throughout the AI-driven SDLC. By understanding and proactively addressing these issues, organizations can harness the benefits of AI while safeguarding user privacy and maintaining robust security measures.

Keyphrases: Artificial Intelligence (AI), Security Challenges, Software Development Life Cycle (SDLC), privacy concerns

@booklet{EasyChair:12600,
  author    = {Lanying Fang and Jane Smith},
  title     = {Addressing Privacy and Security Concerns in AI-Driven Software Development Life Cycle},
  howpublished = {EasyChair Preprint 12600},
  year      = {EasyChair, 2024}}