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Who can access your notes, where they go, and how to protect the archive.
12 articles
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Review an AI notetaker against your NDA: permitted recipients, purposes, service providers, copies, and deletion, with a worked confidential-meeting example.
AI meeting services change after approval. Set up ongoing policy and feature review, define decisions that trigger migration, and keep an exit practical.
Names are only one source of identity in meeting transcripts. Explore contextual clues, pseudonymisation and the EDPB's draft anonymisation guidance.
Zoom and Teams disable native AI features in E2EE meetings. Understand what local notes could change, what needs approval, and how to protect the resulting record.
Review AI notetaker calendar permissions: sign-in, contacts, persistent access, Microsoft admin consent, and what revoking an integration actually removes.
Evaluate an AI notetaker's SOC 2 report alongside recording consent, model training, retention, integrations, and local-device security.
AI wearables make meeting recording harder to see. Here is what the ICO's September commentary means for notice, consent, workplace monitoring, and local processing.
Meeting-note MCP connectors make entire transcript archives available to AI assistants. Here is how to assess permissions, retention, automation, and local alternatives.
Local processing removes a cloud data path, not every security risk. A practical Mac checklist for protecting meeting recordings, transcripts, summaries, backups, and exports.
A practical buyer's guide to ownership, access, AI training, retention, employee monitoring, and control of meeting recordings and transcripts.
Fireflies has a Super Admin role that bypasses all meeting privacy settings — including ones marked 'Only Me'. It's a documented feature, not a bug.
When a meeting bot records you, it's not just capturing words — it's collecting your voiceprint. Under laws like BIPA, that's the same category as fingerprints. And storing it in the cloud? That's a lawsuit waiting to happen.
