How a TypeScript State Machine Can Stop Voice Assistants From Being Hijacked

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Security researchers warn that voice companions face a structural flaw: almost any spoken input can resemble a legitimate instruction, making prompt-injection detection an unreliable defense. The core problem is that user speech should influence conversational replies but must never control model routing, session policy, or application permissions. A tutorial published on DEV Community proposes building a TypeScript state machine that enforces this boundary by separating conversational influence from application authority. The approach draws on multi-system voice pipeline architecture, where RTC transport, speech recognition, LLM, moderation, and synthesis are treated as distinct, untrusted components. Even if a model processes a malicious instruction at the language level, the architecture limits its output to a candidate speech response for the current turn only.

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