VolkanSah/AI-API-Security-Best-Practices
The purpose of this document is to outline the security risks and vulnerabilities that may arise when implementing ai in web applications and to provide best practices for mitigating these risks.
This document outlines critical security risks and best practices for integrating AI Large Language Model (LLM) APIs like OpenAI, Anthropic, or Google Gemini into web applications. It helps developers secure their applications by explaining how to prevent common mistakes, manage API keys safely, and handle inputs/outputs securely. Web developers and application security engineers who are building or maintaining web applications that use LLM APIs would use this.
Use this if you are developing web applications that connect to AI services and want to ensure they are protected against common vulnerabilities like prompt injection, data leaks, and API key exposure.
Not ideal if you are looking for a fully automated security scanner or a deep dive into AI model training security rather than application-level integration security.
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