> For the complete documentation index, see [llms.txt](https://docs.meetra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.meetra.ai/tech-stack-and-models/security-considerations.md). # Security Considerations ## Application Architecture Security * **Authorization and Token Control**: API access is controlled through authorization and token management. * **WAF Protection**: Cloudflare is used as a Web Application Firewall (WAF). * **Backend Access Restriction**: The backend for the application (demo.meetra.ai) is strictly accessible only from the frontend application. * **SSL Encryption**: Connection security is enforced through SSL encryption. ## Application Security * **Protection Against Common Attacks**: Implemented safeguards against OWASP Top 10 attacks, including XSS, CSRF, SQL Injection, and Session Hijacking. * **Input Validation**: All input data is validated and sanitized before processing. * **Regular Updates**: Libraries, components, and production environments are regularly updated to prevent the exploitation of known vulnerabilities. ## Database Security * **Data Encryption**: Data is encrypted at rest, and all sensitive data is hashed. * **Restricted Database Access**: Database access for application users is limited. * **Regular Backups**: Data backups are performed regularly. ## Data Processing Security * **Data Anonymization**: Data is anonymized before processing. * **AI Instance Isolation**: AI instances are isolated with proprietary models and a custom GPT instance hosted in the cloud. ## Compliance Standards * **Certifications and Standards**: Compliant with ISO 27001, 27017/18, 27701, ISO 9001, WCAG, SOC 1/2/3, KNF EBA, and EU Cloud standards when storing data on Azure cloud. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.meetra.ai/tech-stack-and-models/security-considerations.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.