Artificial Intelligence (AI) is transforming the software development lifecycle by enabling intelligent code generation, automated testing, vulnerability detection, code review, and software maintenance. AI-powered development tools, including Large Language Models (LLMs), code assistants, and intelligent DevSecOps platforms, are significantly improving developer productivity and software quality. However, the widespread adoption of AI in software engineering also introduces new security challenges, including AI-generated vulnerable code, insecure code recommendations, software supply chain attacks, prompt injection, model manipulation, intellectual property concerns, and risks associated with AI-assisted development. As organizations increasingly rely on AI throughout the Software Development Life Cycle (SDLC), integrating security into AI-driven development processes has become essential for building resilient and trustworthy software systems.
The International Conference on Cyber Security in Artificial Intelligence (ICCSAI 2027) invites original research contributions on Secure Software Development with AI. This track aims to provide a multidisciplinary forum for researchers, software engineers, cybersecurity professionals, AI experts, DevSecOps practitioners, and industry leaders to present innovative research and practical solutions for developing secure software using AI technologies. Contributions addressing AI-assisted secure coding, intelligent vulnerability detection, secure DevSecOps, automated security testing, software supply chain security, AI governance, and trustworthy AI-assisted software engineering are particularly encouraged.
