The Semantic Airgap: Why "Hinglish" is the Ultimate Zero-Day for Voice Agents

Short summary

Voice agents trained solely on English security datasets are vulnerable to indirect prompt injection via code-switching (mixing Hindi, Tamil, English), where cultural idioms and phonetic patterns bypass standard filters. Defenses include native semantic embeddings with dynamically-trained regional threat clusters, sliding-window context analysis to catch stateful attacks, and acoustic guardrails to detect voice-level spoofing.

• •Code-switching attacks exploit cultural idioms that translation layers sanitize into harmless English
• •Implement native semantic embeddings and culturally-trained threat cluster detection
• •Monitor entire context windows and audio streams, not just isolated user prompts

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