Do they own your data? Grain Privacy Policy Reviewed.
Our comprehensive enterprise assessment reveals Grain scores just 3/10 for enterprise readiness. While offering solid video meeting recording capabilities, critical gaps in security, compliance, and scalability make it unsuitable for large organizations seeking robust solutions.
Final Enterprise Readiness Rating: 3/10
🧨 Not enterprise-ready (Reviewed 2026).
|
Area |
Verdict |
Notes |
|---|---|---|
|
Data Residency & Storage |
❌ High Risk |
No mention of data residency, geographic restrictions, or storage location controls |
|
AI Model Use |
❌ High Risk |
No disclosure of AI model usage, training, or data processing through external LLMs |
|
Data Minimization |
❌ High Risk |
Broad collection of meeting content, personal information, and usage data with no minimization controls |
|
Privacy Controls |
⚠️ Partial |
Limited opt-out mechanisms and basic consent withdrawal, but no workspace-level administrative controls |
|
Compliance & Auditability |
❌ High Risk |
No mention of SOC 2, ISO 27001, HIPAA, or other enterprise compliance certifications |
|
Consent Handling |
❌ High Risk |
No mention of automated consent collection for meeting recordings or participant notifications |
|
Model Explainability |
❌ High Risk |
No information about AI processing logs, explainability, or observability features |
|
Data Retention & Deletion |
⚠️ Partial |
Basic deletion rights but no configurable retention policies or automated deletion controls |
|
Third-Party Sharing |
❌ High Risk |
Allows sharing with third-party service providers and usage data sharing without clear limitations |
👎 Recommendation for Enterprises:
Do not adopt Grain in its current form if you handle:
- Confidential client communications
- Health, financial, legal, or regulated data
- Sensitive IP or trade secrets
- Any meeting content requiring regulatory compliance
Instead, consider AI tools that:
- Provide data residency and geographic controls
- Offer transparent AI model governance
- Support SOC 2 Type II, HIPAA, GDPR compliance
- Include automated consent workflows for recordings
- Allow enterprise admin controls over data collection and sharing
Better Alternative:
✅ BuildBetter.ai — GDPR, SOC 2 Type 2, and HIPAA compliant
✅ Zero training on customer data
✅ You own your data. Fully opt-in privacy model.
🔍 Grain Privacy Policy – Enterprise Risk Assessment
Audience: Security-conscious enterprise organizations evaluating AI meeting recorder for highlights, clips, and team collaboration for internal use in highly sensitive or regulated environments (e.g. legal, healthcare, finance, tech/IP-heavy orgs).
⚠️ Where Grain Falls Short – Critical Gaps
🔒 1. Data Residency & Storage
Risk: Enterprises in regulated industries must know where their data is stored and processed. Without data residency controls, companies cannot ensure compliance with local data protection laws or prevent data from crossing borders inappropriately.
Enterprise Issue:
- No data residency guarantees
- Cannot ensure regulatory compliance
- No geographic data controls
Verdict: ❌ Complete failure on data sovereignty
🧠 2. AI Model Use
Risk: The product is described as an 'AI meeting recorder' but the privacy policy provides zero information about how AI processes sensitive meeting data, whether external models are used, or if customer data trains AI systems.
Enterprise Issue:
- No AI model transparency
- Unknown data processing methods
- Potential unauthorized AI training
Verdict: ❌ Zero transparency on AI processing
📊 3. Data Minimization
Quote: "We collect and retain, Personal Information and other information you upload, provide, or create while using the Service... including information related to: Meeting title, invitation content, participants, meeting link, date, time and duration... Message content, sender and recipients, date, and time... All messages and content you share in a meeting, including Personal Data about you or others"
Risk: The service collects extensive meeting data including all content and messages without offering enterprises the ability to limit or control what data is collected, creating unnecessary exposure for sensitive communications.
Enterprise Issue:
- No data collection limits
- Records all meeting content
- Cannot restrict data types
Verdict: ❌ Excessive data collection without limits
⚙️ 4. Privacy Controls
Quote: "You can opt-out of receiving marketing and non-transactional communications by clicking on the 'unsubscribe' link... you have the right to withdraw your consent at any time"
Risk: Enterprises need granular administrative controls to manage privacy settings across their organization, not just individual user opt-outs for marketing communications.
Enterprise Issue:
- No admin-level privacy controls
- Limited to marketing opt-outs
- No workspace governance
Verdict: ⚠️ Basic controls but no enterprise governance
📦 5. Compliance & Auditability
Quote: "We follow generally accepted, reasonable, and appropriate standards to protect the Personal Information submitted to us"
Risk: Vague security commitments without specific compliance certifications make it impossible for enterprises to verify security posture or meet their own compliance obligations.
Enterprise Issue:
- No compliance certifications
- Vague security standards
- No audit capabilities
Verdict: ❌ Fails basic compliance checklist
📬 6. Consent Handling
Risk: Recording meetings without proper consent mechanisms exposes enterprises to significant legal liability, especially when handling client communications or operating across jurisdictions with strict consent requirements.
Enterprise Issue:
- No recording consent workflows
- No participant notifications
- Legal liability exposure
Verdict: ❌ No meeting consent automation
🔍 7. Model Explainability
Risk: Enterprises need to understand how AI systems process their data for accountability, debugging, and compliance purposes. Without explainability, companies cannot ensure AI decisions are appropriate or defensible.
Enterprise Issue:
- No AI processing logs
- No model explainability
- Cannot audit AI decisions
Verdict: ❌ Zero AI transparency or observability
🧼 8. Data Retention & Deletion
Quote: "We will retain Personal Information that we store and process on behalf of our Subscribers for as long as needed to provide the Services... We will delete this information upon your request, provided that... this information may be retained for as long as you maintain an account"
Risk: Enterprises need configurable retention policies and automated deletion to comply with data protection regulations and minimize data exposure over time.
Enterprise Issue:
- No configurable retention policies
- Manual deletion process only
- Retention tied to account existence
Verdict: ⚠️ Retention policy lacks enterprise controls
🤝 9. Third-Party Sharing
Quote: "We may share Usage Data with third parties, including our customers, partners and service providers, for various purposes... We share information, including Personal Information, with our third-party service providers"
Risk: Broad third-party sharing clauses create data exposure risks that enterprises cannot adequately control, especially for sensitive meeting content and client communications.
Enterprise Issue:
- Broad third-party sharing
- Usage data sharing with partners
- No sharing controls
Verdict: ❌ Broad sharing permissions without controls
✅ What Grain Does Right (Credit Where It's Due)
- Provides data deletion upon request
- Allows consent withdrawal
- 30-day response time commitment for data requests
Disclaimer: This evaluation is based solely on publicly available information and documentation. For formal enterprise vetting, always request a vendor's latest DPA, security whitepaper, and third-party audit reports.