AI security is falling behind—Hugging Face breach highlights the problem

A breach at Hugging Face, where attackers accessed private models, has put a spotlight on the asymmetry between AI offensive and defensive capabilities. While attackers are finding creative ways to exploit models (e.g., prompt injection, model theft), the tools to detect and mitigate these threats are still catching up.

For researchers and practitioners: What’s the biggest bottleneck in building robust AI security guardrails? Is it a lack of standards, tooling, or something else?