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Technique: Bypassing LLM Safety Classifiers via Request Aggregation
- Engineer — Learn: Research describing how attackers can decompose and aggregate requests to evade LLM safety classifiers is relevant for teams building AI safety pipelines; no patch or configuration action is indicated by the available signals.
- SOC/IR — Learn: Interesting evasion technique, but no IOCs, ATT&CK-mapped TTPs, or active campaign signals are present — nothing to hunt or tune detections against right now.
- Leader — Learn: Useful context on fundamental limitations of LLM safety controls for organizations deploying AI products; relevant to AI governance policy discussions but does not require near-term action.
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