Secrypt
AI Privacy Guide: Training, Retention, and Prompt Risk
AI privacy literacy is future-proof: learn to separate training, storage, workspace access, and tool boundaries — then pick products that match your risk.
Key takeaway: AI privacy literacy is future-proof: learn to separate training, storage, workspace access, and tool boundaries — then pick products that match your risk.
The four questions that never go out of date
Does this product train on my chats? How long are they stored? Who on the vendor side can access them? What happens when tools browse or fetch the web?
Answer those four for every assistant you adopt. Model names will churn; these questions will not.
| Question | Why it matters | Secrypt posture |
|---|---|---|
| Training? | Stops drafts becoming model fuel | No training on conversation content |
| Retention? | Limits long-term exposure | History controls + Ghost mode |
| Access? | Insider and subprocessor risk | Product built for discretion; read Privacy |
| Tools? | Expands data boundary | Search/fetch optional; model-driven |
Prompt privacy risks that keep recurring
People paste passwords, API keys, health details, and unreleased strategy into chat because the UI feels intimate. Treat every prompt as potentially logged somewhere unless you verified otherwise.
Prompt injection and malicious documents are also privacy events: a fetched page can instruct the model to exfiltrate context. Keep tool use intentional.
Sensitive documents workflow
Prefer summaries and redacted excerpts over full dumps of sealed PDFs. Use private AI for structure and critique; keep the system of record in your own drive with proper access control.
Secrypt file attach is for convenience — not a replacement for a document management system with audit trails.
- Redact names and account numbers before upload when possible
- Avoid seed phrases and raw credentials entirely
- Delete threads that contained one-time sensitive material
- Use Encrypted history / Ghost features when stakes are high
Policy checklist habit
Once a quarter, re-open policies for the AI tools your team uses. Vendors change defaults. Bookmark your internal “approved assistants” list with links to the exact policy versions you reviewed.
Our deep-dive posts walk training claims, “does AI store my conversations,” leakage prevention, and encrypted history expectations in more detail.
Start private by default
Open Secrypt when you want a privacy-first chat surface with published pricing and an API path for agents. Pair product choice with human habits: minimize secrets, maximize verification.
Frequently asked questions
Is HTTPS enough for AI privacy?
HTTPS protects data in transit. It does not decide training, retention, or ad use. You need policy plus product controls.
Does Secrypt sell my chat data?
Secrypt does not build ad profiles from message content and does not use conversations to train models.
Should I use AI for medical or legal decisions?
Use assistants for drafting and exploration, not as a licensed professional. Keep regulated advice with humans who are accountable.
What is the fastest privacy win?
Stop pasting secrets, enable Ghost/temporary modes for sensitive threads, and pick a no-training product like Secrypt for daily drafts.
Where is the full policy?
Read https://secrypt.space/privacy and the related blog checklists linked from this guide.
Related deep-dives
Try Secrypt
Secrypt is private, uncensored AI chat with an OpenAI-compatible Cipher API. No training on your messages.