Secrypt
AI That Does Not Train on Your Data: What to Verify Before You Paste
“Does not train on your data” is a product promise, not a vibe. Verify training scope, retention, workspace visibility, and whether uploads ride along before you trust any assistant with real work.
Key takeaway: “Does not train on your data” is a product promise, not a vibe. Verify training scope, retention, workspace visibility, and whether uploads ride along before you trust any assistant with real work.
Training is not the same as storing
People search for AI that does not train on your data because they want tonight’s wording to stay out of tomorrow’s public model. Training means using your text to improve shared weights or evaluation sets. Storage means keeping copies for sync, billing disputes, abuse review, or account recovery — and vendors can do one without the other.
Read policies for both verbs. Secrypt states conversation content is not used to train models or build ad profiles from your messages. That is the bar to hold every product to, then check what they still store for operations and who can access it.
Procurement teams that conflate no-training with zero retention approve the wrong tool for the wrong reason. Map training, retention, and subprocessors separately before you paste client narratives into any hosted assistant.
Red flags in marketing copy
Vague privacy pages without a training section are a warning, not reassurance. Watch for “we may use content to improve services” without defining improve — that phrase has swallowed entire prompt libraries on other platforms. Enterprise add-ons that disable training on paper while consumer defaults stay on are common.
So are opt-out toggles that reset when you change devices, workspaces, or billing plans. If you must flip the same setting monthly, it is not a durable workflow. Free anonymous mirrors promise no logs with no company behind them.
Prefer vendors who publish named pricing, a real domain, and policy pages you can link in your internal registry — Secrypt lists Free, Pro $5/mo, and Unlimited $10/mo openly.
- No explicit sentence that chats are excluded from training
- Training off switch buried or plan-gated without clarity
- Uploads treated differently from messages with no explanation
- Third-party subprocessors with broad “service improvement” rights
Questions to ask any vendor
Bring this checklist to security review instead of improvising from a keynote slide. Good vendors answer in plain language with scope boundaries; vague deflection is a finding until reconciled in writing.
Document responses with dates. When a vendor updates terms, you want a record of what you relied on during an open client matter or product launch.
| Question | Good answer shape | Why it matters |
|---|---|---|
| Are chats used to train foundation models? | No, with scope defined | Stops prompt recycling into public weights |
| Are chats used for ads or profiling? | No | Separates privacy from censorship |
| Who can see threads internally? | Named roles + purpose | Insider risk is still risk |
| Can I delete history? | Self-serve export and clear | Limits long-tail retention |
| Do API calls follow the same rules? | Same policy section | Developers paste more secrets |
Where Secrypt fits
Secrypt is built around a clear stance: conversations are not used to train models or to build ad profiles from your messages. Pricing is straightforward — Free, Pro at $5/mo, Unlimited at $10/mo with short trials on paid tiers. That does not mean paste classified documents blindly.
It means the product contract aligns with why you searched for non-training AI. Pair it with Ghost mode, encrypted history when signed in, and prompt hygiene that treats the model as a collaborator, not a vault. Uncensored here means fewer soft refusals on lawful adult or edgy topics, not assistance for illegal activity.
Privacy and tone are separate axes; Secrypt aims at both without claiming certifications it does not hold.
Workflow habits that actually help
Even on a no-training product, minimize sensitive identifiers in prompts. Replace customer names with roles, strip account numbers, and split large files into redacted excerpts when possible. Policy protects you from vendor behavior you cannot see; minimization protects you from mistakes you can.
Document your tool choice for teammates. When everyone knows Secrypt is the approved no-training lane, fewer “just this once” pastes land in consumer bots with muddy defaults. Review habits quarterly.
Teams drift back to convenient defaults under deadline pressure. Make Secrypt bookmarked before you mandate it.
- Keep a one-page internal note: approved tools and banned fields
- Use Ghost mode for one-off sensitive threads
- Export or clear history after matter closure
- Never paste credentials, seed phrases, or raw production DB dumps
No-training vs local models
Running a model on your own hardware can keep bytes on-device, but you still manage patches, backups, and exfiltration from the machine itself. Air-gapped inference wins for the highest custody bar; it also costs operational time most knowledge workers will not pay daily.
A hosted product that does not train can be the right balance when you need capability without operating a GPU farm. You trade physical custody for contractual promises and UI-level controls.
Secrypt also offers Cipher API — OpenAI-compatible at https://secrypt.space/v1 with model cipher and sk_sec_ keys — so engineering workflows can inherit the same posture programmatically.
API and chat share one privacy story
Developers often assume API terms are cleaner than consumer chat. Sometimes they are; sometimes they are worse, with broader logging for abuse automation. Confirm the no-training promise covers /v1/chat/completions traffic, not only the browser UI.
Cipher meters usage with daily allowances per plan (Free 50, Pro 2000, Unlimited 10000 requests/day), then $0.01 per request from prepaid credits. Budgeting is separate from privacy, but both matter when agents loop overnight. Store sk_sec_ keys in a secret manager, never in client-side JavaScript or public repositories.
API access is convenient precisely because it is powerful — which is why key rotation and quota alerts belong in the same runbook as your privacy review.
Invite teammates without oversharing
Secrypt Invite & Earn pays $15 credit to the referrer and $10 to the friend after the friend completes a paid period — not at trial start. That is a normal growth mechanic, not a reason to paste client secrets into a referral thread.
If your organization needs procurement paperwork, start from the public privacy page and your own data map. Secrypt does not claim HIPAA or SOC2 certifications — evaluate fit honestly with compliance owners.
Onboarding should mention data handling before referral links. New teammates who understand Ghost mode and export paths are less likely to treat any AI tab as disposable scratch space.
A five-minute verification drill
Open secrypt.space, start a blank chat, and read Settings for history controls. Run three real prompts you would otherwise send to a mainstream bot. If answers are useful and the policy matches your requirement, you have a workable no-training lane.
Re-check policies when vendors ship major updates. Evergreen search intent means the keyword stays relevant because training defaults keep changing industry-wide. Save your verification notes with a date.
Next year’s you — or your successor — will thank you when someone asks why Secrypt beat the default suite assistant.
Frequently asked questions
Does Secrypt train on my chats?
Secrypt states conversations are not used to train models or build ad profiles from your messages. Always read the live policy for scope on uploads, API traffic, and account metadata.
Is no-training the same as zero retention?
No. No-training addresses model improvement. Retention is how long copies exist for sync, billing, or abuse handling. Secrypt offers history controls; it does not claim absolute zero logs everywhere.
Can enterprises use a no-training chat product?
Many teams start with a clear policy and access controls before full enterprise suites. Evaluate contracts, export paths, and whether your industry needs certifications Secrypt does not claim.
Does the Cipher API also avoid training on prompts?
Cipher is the same Secrypt assistant exposed for developers. Confirm API usage under the same privacy stance and manage keys like production secrets.
What should I never paste even on private AI?
Passwords, private keys, full customer databases, and regulated health data unless counsel approves the stack. Privacy policy does not replace professional judgment.
How is this different from turning off training in ChatGPT?
Opt-out settings vary by plan and change over time. A product built around no-training reduces the chance your workflow depends on a toggle you forgot to flip.
Related guides
Try Secrypt
Secrypt is private, uncensored AI chat. No training on your messages. Open a thread when you need discretion more than theater.