Ruhr-Uni-Bochum

"The AI tool can’t make it any worse." Investigating Developers’ Security Behavior with AI Assistants in a Password Storage Study

2026

Konferenz / Journal

Autor*innen

Alena Naiakshina Joshua Speckels Anna-Marie Ortloff Nadine Jost Raphael Serafini Asli Yardim

Research Hub

Hub 5: Human-Centered Security and Privacy

Abstract

Past research showed that software developers often require explicit instructions to implement security measures. With the rapid rise of AI assistant tools such as ChatGPT, it remains unclear whether AI assistance supports or undermines secure practices, whether explicit security instructions are still essential, and how developers behave without guidance. To investigate these research questions, we conducted a qualitative lab study with 21 computer science students and a quantitative online study with 80 freelance developers. We focused on secure password storage and asked participants to implement registration logic under four conditions: without instructions, with AI assistance, with security instructions, or with both AI assistance and security instructions. Our study reveals a clear behavioral shift: In our task, many participants relied on AI-assisted code generation for security-related tasks, often prioritizing convenience over security. However, explicit security-focused instructions can redirect this behavior toward secure outcomes, demonstrating that AI tools alone are insufficient without targeted guidance.

Tags

Behavior
Empirical Studies on the Perception of Security and Privacy
Human-Centered Security and Privacy
Securing Society against Misuse of Emerging Tech.
Security & Privacy in SW Development Lifecycle
Understanding and Transforming Security and Privacy Behaviors