Aura Meet vs The Cloud: A Privacy Comparison
A deep technical comparison of privacy architectures between on-device meeting tools and cloud-based transcription services. What data they collect, where it goes, and what it means for HIPAA, GDPR, and SOC 2 compliance.
Cloud meeting tools and Aura Meet solve the same problem — turning conversations into structured notes. But they take fundamentally different approaches to your data. One sends everything to remote servers. The other keeps everything on your phone.
This isn’t a marketing distinction. It’s an architectural one with real implications for compliance, risk, and trust.
What Cloud Tools Collect
When you use a cloud-based transcription service like Otter.ai, Fireflies, or Grain, here’s what typically leaves your device:
Audio data
Your raw meeting audio is transmitted to the provider’s servers for processing. This includes every voice in the room — not just yours, but every participant’s. Most providers retain this audio for model training, quality assurance, or “service improvement” unless you explicitly opt out.
Metadata
- Who was in the meeting (names, email addresses, calendar entries)
- When it happened (timestamps, duration, frequency patterns)
- Where it was hosted (Zoom, Google Meet, Teams meeting URLs)
- How often you meet with specific people
Calendar data
Many cloud tools request calendar access to auto-join meetings. This gives them visibility into your entire schedule — not just meetings you choose to record.
Behavioral data
Usage patterns, feature interactions, transcript searches — all logged and analyzed. Your meeting habits become part of their dataset.
What Aura Meet Collects
Nothing.
Aura Meet processes transcription, summaries, action items, and meeting scoring entirely on your device using Apple’s Speech framework and Foundation Models. No audio is transmitted. No metadata leaves your phone. No calendar access is required.
Your meeting data exists in exactly one place: your phone.
Privacy Architecture Comparison
| Data type | Cloud tools | Aura Meet |
|---|---|---|
| Raw audio | Uploaded to servers | Never leaves device |
| Transcripts | Stored on provider infrastructure | Stored locally on phone |
| Participant info | Collected via calendar/bot | Not collected |
| Meeting metadata | Logged and analyzed | Not transmitted |
| Calendar data | Full access often required | Not required |
| AI model training | Your data may be used | No data available to use |
| Third-party sharing | Subprocessors involved | No third parties |
Compliance Implications
HIPAA
Cloud tools processing Protected Health Information require a Business Associate Agreement (BAA). Not every provider offers one, and those that do still create liability — if they’re breached, you’re affected. With on-device processing, there’s no BAA to negotiate because there’s no data exchange.
GDPR
The General Data Protection Regulation requires a lawful basis for processing personal data and grants data subjects the right to access, correct, and delete their information. Cloud providers must respond to these requests across their infrastructure. With Aura Meet, you are the data controller and processor — your data, your device, your control.
SOC 2
SOC 2 audits evaluate how a service protects customer data. If your meeting tool sends audio to a provider, their SOC 2 posture directly affects yours. Aura Meet removes this dependency — there’s no third-party data handling to audit.
The Trust Model
Cloud tools ask you to trust their security practices: their encryption, their access controls, their employee policies, their subprocessors, their incident response. You’re trusting a chain of organizations you’ve never audited.
Aura Meet asks you to trust your own device. The same phone you use for banking, health records, and personal communications. Apple’s hardware encryption, your passcode, your biometrics.
The difference: one trust model scales with the number of organizations handling your data. The other doesn’t.
When Cloud Makes Sense
To be fair, cloud processing offers capabilities that on-device can’t match today:
- Cross-platform real-time collaboration on transcripts
- Advanced speaker diarization with enrollment-based voice profiles
- Team-wide search across all organization meetings
If these features outweigh the privacy trade-offs for your use case, cloud tools serve a purpose.
When On-Device Is Non-Negotiable
For professionals handling confidential conversations — patient data, legal strategy, financial planning, personnel decisions — the question isn’t whether cloud tools are secure enough. It’s whether sending that data to a third party is necessary at all.
In 2026, it isn’t. On-device AI is fast enough, accurate enough, and capable enough to handle the full meeting intelligence pipeline locally.
Try the Difference
Download Aura Meet from the App Store. Record a meeting. Open your device’s network monitor and watch — nothing goes out. That’s privacy you can verify, not privacy you have to believe.