Your research is completely private
Your research is encrypted at rest with AES-256, protected in transit with TLS 1.3, and processed by AI features only when you ask — routed to Google Gemini under zero-retention API terms. We never use your documents to train models, and we do not use OpenAI.
Enterprise-Grade Security Infrastructure
Built with the same security standards used by financial institutions and government agencies.
Data Storage Security
- AES-256 encryption for all data at rest
- Separate encryption keys per user account
- Automated daily backups in geo-redundant encrypted storage
- Data stored exclusively in SOC 2 Type II certified data centers
- Logical data isolation between all user accounts
- Automatic data purge 30 days after account deletion
Data in Transit
- TLS 1.3 for all data in transit — no exceptions
- HTTP Strict Transport Security (HSTS) enforced
- Certificate pinning for API endpoints
- Perfect Forward Secrecy (PFS) on all connections
- All API calls authenticated via signed JWT tokens
- Regular SSL/TLS configuration audits
Access Control
- Multi-factor authentication (MFA) supported
- Role-based access control for collaborators
- Granular document-level permissions
- Session management with automatic 24h timeout
- Audit logs for all access events and document changes
- IP-based anomaly detection and alerting
Network Security
- DDoS protection via enterprise-grade WAF
- Rate limiting on all API endpoints
- Isolated network environments per service
- Regular automated penetration testing
- 24/7 infrastructure monitoring and alerting
- Vulnerability scanning on every code deployment
Your Data Never Trains Our AI
This is our clearest, most important commitment. Your research documents are yours alone — they will never be used to train, fine-tune, or improve any AI model.
What Bibby AI Does
- Process only the text needed for each AI request on our secure servers
- Route AI features through Google Gemini under zero-retention, no-training API terms
- Use pre-trained models that do not learn from your documents
- Encrypt stored documents with AES-256 and protect all traffic with TLS 1.3
- Publish our AI subprocessors transparently in the Trust Center
What Bibby AI Never Does
- Use your documents to train OpenAI, Google, Anthropic, or other AI models
- Send your content to OpenAI
- Store your text in any AI training dataset
- Share your research with third parties for advertising or resale
- Retain your prompts or completions beyond the active session under our API terms
Your Data, Your Rights
You maintain complete ownership and control of your research at all times. Here's exactly what that means in practice.
Full Ownership
You own 100% of the intellectual property in your documents. Bibby claims no rights to your content.
Export Anytime
Download your data in standard LaTeX, PDF, or ZIP formats at any time — no lock-in, no questions asked.
Request Deletion
Request permanent deletion of your data from your account settings. Requests enter a 14-day grace period during which your account remains recoverable, and are finalized within 30 days per GDPR. Self-service deletion may be unavailable in certain regions — contact us by email in that case.
Access Logs
See exactly who accessed your documents, when, and what changes were made. Full transparency on your audit trail.
Portability
Your data is always in standard formats. If you leave, your research leaves with you in a format you can use anywhere.
Sharing Control
You decide exactly who can view, comment, or edit your documents. Revoke access instantly at any time.
How Your Stored Documents Are Protected
Documents you save in Bibby are encrypted at rest with AES-256, isolated per account, and stored in SOC 2 Type II certified infrastructure. All connections use TLS 1.3.
When you use AI features — co-authoring, paper review, or similar — only the text needed for that request is processed on our servers and sent to Google Gemini under zero-retention, no-training API terms. Staff access is role-based, audited, and limited to legitimate operations and support; we do not casually browse user documents.
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