Introduction Most prompt injection detection is built to catch the obvious. Encoding anomalies, invisible unicode, emoji smuggling, the signatures a classifier can pattern match against. PuzzleMask, a newly disclosed technique, sidesteps all of it. It embeds a policy-violating payload inside fluent, properly punctuated prose, and gets that payload past an LLM-based gatekeeper without tripping any heuristics naively looking for obfuscation on the input side. The technique targets a specific architecture that’s become standard in production LLM pipelines: a fast, low-cost model screens incoming input against a policy before a more capable target model, often running with high reasoning effort and […]
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