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Security & ComplianceUpdated 2026-10-246 min read

AI Meeting Privacy in 2026: Why Zero-Training Transcription Matters for Executive, Legal & Advisory Teams

Understand how MintScribe protects confidential meetings with a strict Zero Model Training Guarantee, TLS 1.3 encryption, AES-256 credential security, and custom audio retention.

By MintScribe Security Team • Trust, Privacy & Infrastructure
Key Takeaways (TL;DR)
  • Free consumer AI tools often reserve the right to train foundation models on uploaded audio and transcripts unless users navigate buried opt-out settings.
  • MintScribe enforces a default, unconditional Zero Model Training Guarantee across every tier: your audio, transcripts, and notes are never used to train internal or third-party AI models.
  • Users and workspace admins can configure automatic audio retention policies—including immediate audio deletion after transcription—while keeping encrypted text summaries.

The Hidden Risk of Consumer AI Note-Takers

Board meetings, M&A discussions, legal strategy sessions, clinical consultations, and HR reviews contain highly sensitive intellectual property and personal data. When an employee uses a bot-based consumer recorder without zero-training protections, confidential dialogue can be retained indefinitely by third-party model providers.

How MintScribe's Zero-Training Architecture Works

MintScribe LLC built its privacy architecture to meet the expectations of security-conscious executives and regulated professionals from day one:

  • Zero Model Training Guarantee: All API calls to speech and language subprocessors (Deepgram, AssemblyAI, OpenAI, Anthropic, and Replicate) operate under strict enterprise developer agreements that prohibit training foundation models on customer data.
  • Isolated Private Storage & Row-Level Security: Audio recordings and transcripts are stored in isolated private buckets protected by cryptographic Row-Level Security (RLS) policies.
  • Configurable Audio Retention Policies: Choose whether to retain audio for playback, auto-purge after 7, 30, or 90 days, or delete raw audio immediately after transcription completes.
  • Isolated Voice Print Vectors: Speaker recognition stores only a 512-dimensional mathematical vector scoped strictly to your workspace—never shared across organizations.

Full Transparency in the App

MintScribe includes a dedicated AI Data Transparency & Privacy sheet inside both the Web and iOS apps detailing every subprocessor and data protection commitment.

Frequently Asked Questions

Does MintScribe ever use my recordings or transcripts to train AI models?

No. Under the MintScribe Zero-Training Guarantee, your audio files, transcripts, and notes are never used to train internal or third-party foundation AI models.

Can I automatically delete my raw audio files after a meeting is transcribed?

Yes. In MintScribe Settings, you can configure your Audio Retention Policy to automatically purge raw audio files while preserving your text transcripts and AI summaries.

Experience Bot-Free AI Meeting Notes Today

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