Voice Data

Voice data encompasses recordings, transcripts, and acoustic features captured from spoken communication in enterprise systems. Organizations must govern this data carefully because it often contains sensitive personal information, is subject to strict recording consent laws, and raises unique security risks around unauthorized access or deepfake generation. Voice data compliance affects contact centers, virtual assistants, meeting transcription tools, and any systems using speech recognition, making it a critical focus area for enterprise AI governance teams.

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Corporate PolicyGlobal2026-09-03

Google's Gemini 3.5 Transcribe Creates Uncharted Compliance Territory for Voice Data

Google announced Gemini 3.5 Transcribe, a speech-to-text model designed for real-time transcription, voice agents, live captioning, and post-call analytics. The model is available for enterprise deployment globally. No safety evaluation documentation or regional use restrictions are publicly surfaced in the available release materials, leaving regulated users to resolve consent, retention, and biometric compliance obligations independently.

Gemini 3.5 Transcribe Google speech-to-text biometric data call recording voice data data retention automated decision-making