The Semantic Airgap: Why "Hinglish" is the Ultimate Zero-Day for Voice Agents The Signal: The Multilingual Blindspot of 2026 We are in the era of native voice-to-voice agents. With models like Sarvam-3 powering enterprise swarms (like the Swiggy integration), we have unlocked real-time, native processing for 22 Indic languages. But as a Security Architect, I see a massive vulnerability spreading across the industry: Linguistic Semantic Escape. Standard safety guardrails are trained on massive, sanitized English datasets. They are fundamentally "deaf" to Indirect Prompt Injection (IDPI) when delivered through Code-Switching (e.g., mixing Hindi, Tamil, and English). Attackers aren't saying "Ignore previous instructions." They are using regional metaphors and cultural slang to socially engineer the agent through its own native-tongue logic. Phase 1: The Architectural Bet We must shift from Translation-First Moderation to Native Embedding Distance.…