A security checklist for connecting Google Sheets, databases and Shopify to an AI BI tool: OAuth scopes, read-only access, encryption and compliance.
Analytics platforms have access to some of your most sensitive business data: revenue figures, customer information, financial records, employee data, and strategic metrics. A security breach in your analytics platform does not just expose technical systems — it exposes the intelligence layer of your entire business.
Yet security is often an afterthought when evaluating BI tools. Teams compare features, pricing, and ease of use, but rarely ask: "How does this platform protect our data?" or "What happens if this vendor is breached?"
The stakes are real. Data breaches cost businesses an average of $4.45 million per incident globally. For small businesses, a single breach can be existential. Beyond financial cost, regulatory penalties under GDPR, CCPA, and India's DPDP Act can reach millions of dollars.
Choosing an analytics platform with strong security is not a nice-to-have — it is a business requirement. This guide covers the essential security features to evaluate before trusting any platform with your data.
When evaluating any BI or analytics tool, verify these security capabilities:
Encryption at rest and in transit. All data stored by the platform should be encrypted using AES-256 (the standard used by banks and governments). All data transmitted between your browser and the platform should use TLS 1.3. Ask the vendor: "Is all data encrypted both at rest and in transit?" If the answer is anything other than a clear yes, walk away.
Role-based access controls (RBAC). Not everyone should see everything. RBAC lets you define who can view, edit, or administer different data sources, dashboards, and settings. A marketing intern should not have access to financial data. An analyst should not be able to modify admin settings.
Single Sign-On (SSO) integration. SSO through Google, Microsoft, or SAML providers ensures employees use their corporate credentials. This centralizes access management — when someone leaves the company, disabling their corporate account automatically revokes their analytics access.
Audit logging. Every query, dashboard view, data export, and settings change should be logged with timestamps and user attribution. Audit logs are essential for compliance, security investigations, and understanding who accessed what data and when.
Read-only data access. Analytics platforms should only read your data — never modify or delete it. Look for platforms that explicitly enforce read-only connections. VedaX Studio requests only the per-file drive.file scope for Google Sheets — it reads only the sheets you explicitly pick — and enforces read-only SQL queries at the application layer.
Data isolation. In multi-tenant platforms, each customer's data must be isolated from other customers. Ask: "Can another customer on your platform access my data?" Proper isolation uses separate database schemas, encrypted storage keys, or dedicated database instances.
If your analytics platform connects to Google services (Google Sheets, Google Analytics, Google Ads), it must comply with Google's API Services User Data Policy and the Limited Use requirements.
This is critical because platforms that violate Google's policies can have their API access revoked at any time — leaving you suddenly unable to access your data through the platform.
Key requirements of Google's Limited Use policy that your analytics platform must follow:
Only access data necessary for the stated purpose. The platform should request the minimum scopes required. For Google Sheets analytics, the most privacy-preserving option is a per-file scope like drive.file, where you pick exactly which sheets to share via the Google Picker. Platforms requesting broad access — full Drive access, the ability to read every spreadsheet in your account, or write permissions — are requesting more than they need.
Do not transfer user data to third parties. Your Google Sheets data should not be shared with or sold to third parties for advertising, data brokering, or any purpose unrelated to the stated service.
Do not use data for advertising purposes. Your spreadsheet data should never be used to target ads, build user profiles, or inform advertising algorithms.
Display a clear privacy policy. The platform must clearly disclose what data it accesses, how it uses the data, and how users can revoke access.
VedaX Studio adheres to Google's Limited Use requirements: we request only the per-file drive.file scope (you pick exactly which sheets to share), never modify your data, never share it with third parties, and never use it for advertising. Users can disconnect their Google account at any time from the Settings > Connections tab.
The deployment model significantly impacts your security posture:
Cloud-hosted (SaaS) platforms like VedaX Studio's managed cloud handle infrastructure security for you — server hardening, patch management, backup encryption, and DDoS protection. This is ideal for teams without dedicated DevOps staff. The trade-off is that your data leaves your network and is stored on the vendor's infrastructure.
Self-hosted platforms run on your own servers or cloud accounts. Your data never leaves your infrastructure, giving you complete control. This is essential for industries with strict data residency requirements (healthcare, government, finance). The trade-off is that you are responsible for server security, updates, and backups.
Hybrid approaches let you connect the analytics platform to your database without the data leaving your infrastructure. The platform sends queries to your database and receives only the results — the raw data stays in your network.
VedaX Studio supports the managed model only, with direct read-only database connections so your source systems stay where they are.
For most small businesses, managed cloud with strong encryption and access controls provides the best balance of security and convenience. For enterprises with compliance requirements (HIPAA, PCI-DSS, SOC 2), self-hosting or hybrid deployments are recommended.
Use this checklist when evaluating any analytics or BI platform:
Data protection — Is all data encrypted at rest (AES-256) and in transit (TLS 1.3)? Is data isolated between customers in multi-tenant deployments? Are backups encrypted?
Access control — Does it support role-based access controls? Does it offer SSO integration? Can you restrict access to specific data sources or dashboards by user role?
Compliance — Is the platform compliant with GDPR, CCPA, and other relevant regulations? Does it provide a Data Processing Agreement (DPA)? For Google integrations, does it comply with Google's Limited Use policy?
Audit and monitoring — Does it log all user activity? Can you export audit logs? Does it provide alerting for suspicious activity?
Data handling — Does the platform use read-only access to your data sources? Does it clearly state its data retention and deletion policies? Can users request data deletion?
Infrastructure — Where are servers located? What cloud provider is used? Is the infrastructure SOC 2 Type II certified? What is the uptime SLA?
Incident response — Does the vendor have a documented incident response plan? How quickly does it notify customers of breaches? What is the notification timeline?
Do not rely on marketing pages for security answers. Ask the vendor directly, request their security documentation, and if possible, review their SOC 2 report or penetration test results.
Check for AES-256 encryption at rest, TLS 1.3 in transit, role-based access controls, SSO support, audit logging, and compliance certifications (SOC 2, GDPR). Ask the vendor for their security documentation and verify their data isolation practices for multi-tenant environments.
Yes, if the tool follows Google Limited Use policy, requests only narrow, read-only access (such as the per-file drive.file scope), and does not share your data with third parties. VedaX Studio meets all these requirements and lets you disconnect at any time from Settings.
Self-host if you have strict data residency requirements, compliance mandates (HIPAA, PCI-DSS), or sensitive data that must not leave your network. For most small businesses, a managed cloud platform with strong encryption and access controls provides equivalent security with less operational overhead.
See it in VedaX: AI dashboards from Google Sheets