Security overview
Learn about Deepnote's security and privacy standards that protect your data.
Deepnote uses security and privacy controls to protect customer data while teams connect, query, analyze, and share it.
Deepnote has a SOC 2 Type II report from a third-party examination of its security practices and processes.
Visit the Deepnote Trust Center for details about security and compliance.
Data security is core to how we work
Deepnote trains each team member on security practices and makes them accountable for protecting customer data and privacy. Our workflows follow the standards required for SOC 2 compliance.
Deepnote commissions third-party penetration tests and runs a private bug bounty program.
Analyze without extracting
Deepnote queries your data sources live. You don't need to extract or duplicate data or download it to a local machine. The source data stays in your warehouse until a query needs it.
Projects keep data in memory while an analysis runs. Configurable caching lets you control query costs and how long Deepnote stores query results.
Architecture
Deepnote encrypts database credentials at rest and stores them in a vault instead of exposing them as plain text. When you run a query, Deepnote connects to the data source and returns the results to an isolated execution environment. Deepnote caches results when you enable caching.
Workspace admins manage who can connect to databases, view or edit projects, and share data across teams.
Product access controls
Deepnote supports single sign-on integrations on the Enterprise plan for Google Workspace, Okta, and any provider that supports SAML or OpenID Connect (OIDC).
Teams can use access controls to meet General Data Protection Regulation (GDPR) requirements, sector-specific regulations, or internal security policies. These controls determine who can see, query, and collaborate on projects.
Access management in Deepnote breaks down into three key layers:
- User roles: Define which actions users can take, from editing notebooks to managing workspace settings.
- Data access: Control which databases each user can connect to. You can limit users to pre-approved connections or credentials.
- Project access: Control who can view, edit, or publish projects and apps.
Deployment options
Deepnote offers multi-tenant cloud hosting and dedicated single-tenant deployments. Contact sales@deepnote.com to discuss region-specific data residency or deployment in a virtual private cloud (VPC).
What data does Deepnote store?
Deepnote uses Amazon Web Services (AWS) for processing and storage. Deepnote encrypts database credentials, file uploads, and cached query results at rest with 256-bit Advanced Encryption Standard (AES) encryption. Transport Layer Security (TLS) 1.2 or higher protects data in transit between Deepnote's servers and your browser.
Other compute providers may store an encrypted temporary copy of workspace data. Deepnote uses AWS for long-term data storage.
Does Deepnote use customer data to train, fine-tune, or otherwise improve any AI/ML models?
No. Deepnote does not use customer data to train, fine-tune, or improve AI or machine learning models. Deepnote connects to external AI services such as OpenAI and Anthropic through secured APIs under enterprise agreements that prohibit training on customer data. You send notebook code, text, and variable metadata to model providers when you use Deepnote AI, including database schema for SQL AI. You share block outputs, which can include row-level data, only when you turn on Provide access to block outputs.
OpenAI may keep context data for up to 30 days for safety monitoring. Certain providers do not store data processed for real-time code suggestions under zero-retention agreements. See AI data privacy for the documented scope.
Deepnote does not host or fine-tune models. Deepnote encrypts customer data with AES-256 and follows security practices covered by its SOC 2 Type II report. Workspace admins can disable Deepnote AI in Settings & Members > AI.
Support
Deepnote provides technical support through Intercom and email on weekdays from 9 a.m.-5 p.m. PT. Customers can also request support through a Slack channel.