Hi everyone,

I’m part of the development team at NSFW Coders, where we’re currently working on the Candy AI Clone API — an AI chatbot that combines natural language conversations with image generation features. One of our main priorities during development has been maintaining data security and user privacy while keeping the system efficient and scalable.

While designing the API, we’re focusing on:

• Implementing end-to-end encryption for chat and image requests

• Building a token-based authentication system for secure API access

• Managing user session data responsibly to maintain privacy

• Creating proper logging and monitoring layers without storing sensitive content

We’ve noticed that handling sensitive user inputs while integrating generative AI tools brings unique security concerns, especially around content filtering and compliance.

I’m curious how others here are addressing privacy and compliance challenges when building or deploying AI-based conversational systems. Do you use third-party services for moderation or handle it through your own in-house models?

(Reference: Candy AI Clone

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