# 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 . --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.salescaling.com/en/compliance-and-legal/seguridad.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.