For the complete documentation index, see llms.txt. This page is also available as Markdown.

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 the 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 record of all critical operations

Infrastructure

  • We use cloud infrastructure

  • We apply least-privilege policies

  • Access is restricted to authorized personnel only

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 security@salescaling.com.

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