소프트웨어 개발 생명주기의 보안과 신뢰성 강화를 위한 GPT-4 Turbo 활용방안에 대한 연구

This research introduces a strategy that leverages GPT-4 Turbo, an advanced AI language model, to minimize human errors encountered while complying with the OWASP Top Ten security guidelines in software development. The framework combines the AI's capabilities in text comprehension and generation with developers' expertise to reduce errors. It delves into integrating GPT-4 Turbo across the Software Development Life Cycle (SDLC), proposing a model that enhances both software security and reliability. This framework addresses and adapts to the regularly updated OWASP vulnerabilities, contributing to reduced human errors and improved security measures. Furthermore, it benefits in streamlining processes and accelerating decision-making within business strategy contexts, demonstrating the multifaceted advantages of integrating sophisticated AI solutions in software development and management practices.