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Position: Mind the Gap-the Growing Disconnect Between Established Vulnerability Disclosure and AI Security

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Bibliography:4 Pages
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Abstract

AI systems face a growing number of AI security threats which are increasingly exploited in practice. Hence, shared AI incident reporting practices are emerging in industry as best practice and as mandated by regulatory requirements. Although non-AI cybersecurity and non-security AI reporting have progressed as industrial and policy norms, existing collection of practices do not meet the specific requirements posed by AI security reporting. \textbf{In this position paper, we argue that adapting existing processes for AI security reporting is doomed to fail due to fundamental shortcomings for the distinctive characteristics of AI systems. Some of these shortcomings are immediately addressable, while others remain unresolved technically or within social systems, like the treatment of IP or the ownership of a vulnerability.} Based on our proposal to address these shortcomings, we discuss an approach to AI security reporting and how the new AI paradigm, AI agents, will further reinforce the need for specialized AI security incident reporting advancements.

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