Security
Security
At Salescaling, data security and privacy are fundamental. This document details the security measures implemented and how we handle our users' information.
AI Data Processing
Current AI Model
- We use Google Gemini as our Generative AI LLM model
- Google's privacy policy applies
- Google does not use input data to train its models
- All information travels encrypted in transit until it reaches the LLM
Future Improvements
- We are developing the option for customers to use their own AI model if they wish
- This will allow absolute control over information processing
- Customers will be able to choose the model that best suits their privacy needs
Security Measures
Data Encryption
- All communications are encrypted using TLS
- Data stored in the database is encrypted at rest using AES-256
- Daily backups are encrypted and retained for 14 days
Authentication and Authorization
- We use Auth0 as our authentication platform
- We do not store passwords
- Permissions are managed based on the role within each organization
Data Isolation
- Data is segmented at the database level
- Each organization can only access its own data
Monitoring and Control
- We monitor access logs
- We implement alerts for sensitive operations
- We track user activity for debugging
- We maintain a detailed log of all critical operations
Infrastructure
- We use cloud infrastructure
- We apply least privilege policies
- Access is restricted only to authorized personnel
Support
If you have security questions, please contact our support team.
Vulnerability Detection
If you find a vulnerability, please contact our security team at security@salescaling.com.