Security

At Salescaling, data security and privacy are fundamental. This document details the security measures implemented and how we handle our users' information.

Data Processing with AI

Current AI Model

• We use Google Gemini as the generative AI LLM

• 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 fits 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 the authentication platform

• We do not store passwords

• Permissions are managed based on 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 record 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 questions about security, please contact our support team.

Vulnerability Detection

If you find a vulnerability, please contact our security team at [email protected].