AI privacy in messaging: consent, device and server data flows, prompt injection, encrypted chats and optional AI features.
AI in a messenger raises a concrete question: which information reaches which system? This collection follows the data paths and consent choices behind useful writing and conversation tools.
Read about prompt injection, local and server processing, public channels and optional AI features. Each is a different boundary to understand, rather than a single blanket privacy claim.
What data does an AI feature receive?
How do consent and source selection work?
What changes between local and server-side AI?
A familiar voice is not enough. Check suspicious requests through an independent call, family agreements and the right response after payment, without relying on definitive deepfake detection.
Prompt injection can divert an assistant with chat access. Understand E2EE boundaries, necessary permissions, and practical controls to reduce data leaks.
How end-to-end encryption changes server-side AI access to private messages, and where channels, metadata, devices and optional AI features need separate review.
Review notification, keyboard, accessibility and connected-app access without assuming every AI tool sees every chat. Test changes using harmless content.
