Observed arrival · 2026-10-12
LeakShield: a security boundary before speech-to-text
LeakShield describes a way to detect and mask sensitive speech in audio before forwarding it to downstream speech-to-text and AI systems.
- For
- Teams building voice applications that handle sensitive speech
- Worth noticing
- The page distinguishes audio sanitization before STT from transcript redaction after STT, and says detection coverage should be evaluated on your own audio.
Field notes
The page describes a pipeline that detects policy-defined sensitive speech, masks the corresponding audio segments, and returns sanitized audio with redaction metadata. Its recorded Pipecat proof of concept uses synthetic credentials to show how protection changes what reaches downstream STT and what the agent can recall. The page identifies the API as asynchronous and advises evaluating coverage with your own audio, languages, and sensitive-data policy before production use.
Observed signals
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Editorial observations of this landing page, not a rating.
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