Asset-driven Threat Modeling for AI-based Systems
CoRR(2024)
摘要
Threat modeling is a popular method to securely develop systems by achieving
awareness of potential areas of future damage caused by adversaries. The
benefit of threat modeling lies in its ability to indicate areas of concern,
paving the way to consider mitigation during the design stage. However, threat
modeling for systems relying on Artificial Intelligence is still not well
explored. While conventional threat modeling methods and tools did not address
AI-related threats, research on this amalgamation still lacks solutions capable
of guiding and automating the process, as well as providing evidence that the
methods hold up in practice. To evaluate that the work at hand is able to guide
and automatically identify AI-related threats during the architecture
definition stage, several experts were tasked to create a threat model of an AI
system designed in the healthcare domain. The usability of the solution was
well-perceived, and the results indicate that it is effective for threat
identification.
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