Secrypt
Does AI Store My Conversations? Retention Explained Clearly
Yes — most hosted AI stores something. The useful question is what, how long, who can access it, and whether you can end the story yourself.
Key takeaway: Yes — most hosted AI stores something. The useful question is what, how long, who can access it, and whether you can end the story yourself.
Short answer most vendors avoid
Most AI products store conversations somewhere — UI history, backups, abuse logs, or support exports. ” Secrypt gives you controls to clear and limit history, plus a no-training stance, but storage and training are different questions. Teach relatives the same distinction in family group chats.
Tool advice spreads fast when someone assumes delete in the UI means delete everywhere instantly. When a vendor answers with encryption buzzwords only, ask the follow-up: who can decrypt, when, and for what purpose? When relatives ask which chatbot to use, teach them to search policy pages for the words train and retain separately.
Family group chats spread tool advice faster than security awareness campaigns. Podcast listeners repeat tool myths — correct the storage-versus-training distinction when friends ask for recommendations at dinner.
Places your words might live
Words may live in chat sidebars, encrypted history stores, operational logs, browser local storage, password manager notes, and your own screenshots. Forgetting one layer does not forget all. Smartwatch notifications preview thread titles — disable during sensitive work.
Cloud photo backup may include screenshots of chats you forgot you took. Map each layer to an owner in your personal or team hygiene doc. Unowned layers become surprises during device repair or subpoena conversations.
Browser sync across phone and laptop means delete on one device may not delete on another immediately. Check all signed-in endpoints during your verify drill, not only the machine on your desk. Shared tablets in clinics and schools accumulate history from many users — forgetting is a community responsibility on shared hardware.
- Product database for chat history UI
- Backups and replicas
- Support tooling if you file a ticket
- Abuse monitoring pipelines
- Client-side browser storage
- Third-party analytics if misconfigured
Questions to ask
Ask what is stored, how long, who accesses it, and whether API calls differ from chat. Template vendor emails keep questions comparable across procurement cycles. Request whether delete is self-serve or ticket-based.
Ticket-based delete may be fine for enterprise but terrible for individuals who need immediate erasure. Document answers with dates. Policy pages change without push notifications.
Save vendor answers in the same folder as contracts. Future you during an open matter needs dated evidence, not memory of a cheerful sales call. Compare vendor answers side by side in a spreadsheet — inconsistencies between sales and policy pages are findings worth logging.
| Question | Why ask |
|---|---|
| How long are chats kept? | Matter closure timelines |
| What happens on delete? | Backup lag |
| Do admins see workspace chats? | Insider risk |
| Are API logs separate? | Automation volume |
| Can I export? | Portability |
Secrypt controls
Secrypt offers export, clear, Ghost mode, and encrypted history for signed-in accounts. Conversations are not used to train models per product stance. Bookmark Settings — muscle memory beats hunting menus during panic. Ghost mode limits ordinary persistence for threads you mark ephemeral.
Encrypted history protects stored copies at rest — not the same as anonymous inference. Test clear behavior on throwaway prompts quarterly. Products update retention behavior in changelogs you might miss. Walk new teammates through Settings on day one: export, clear, Ghost mode, encrypted history.
Muscle memory beats hunting menus during a panic after a bad paste. Pair encrypted history with Ghost mode when discussing mental health or personnel topics — layered controls beat single-feature optimism.
Training vs storing — user edition
No-training means your text should not improve shared models. Storing means copies may still exist for sync, billing, or abuse review. You want clarity on both before pasting health or financial details.
Community college digital literacy classes benefit from teaching both concepts — different test questions apply to each. A product can store threads for your convenience without training on them. Conflating the two leads to wrong tool choices.
Classroom exercises can ask students to classify scenarios as training risk, storage risk, or both. Misclassification in homework mirrors real workplace mistakes with lower stakes. Book club discussions about AI memoirs are a low-stakes place to practice explaining both concepts before workplace training.
Local storage illusions
Browser “local only” modes still sync if you enable account features. Local LLM history files survive disk imaging unless you encrypt and wipe properly. Deleted files on SSDs may be recoverable without full-disk encryption.
Local forgetfulness is a disk hygiene problem too. Audit password managers for exported chat snippets saved as secure notes. Holistic device hygiene beats vendor promises alone.
Cloud backup of phone photos may include chat screenshots you forgot you took. Audit camera rolls and screenshot folders quarterly — they are storage layers vendors never control. Time Machine and similar backups may resurrect cleared chats — include backup policy in personal hygiene notes.
API conversations
Cipher API calls may be logged by your application and by operational systems you operate. Minimize stored completions in your database and rotate sk_sec_ keys after incidents. Rotate keys after intern season — predictable calendar events beat heroic memory.
Service accounts should own production keys, not individuals. Design agents to discard context after tasks complete. Your database is memory if you keep every completion row forever.
Engineering retros should ask what completion rows remain in databases after features ship. Your TTL policy is part of the forgetting story you tell users. Staging databases often keep production-shaped prompts — scrub staging with the same rigor as prod during key rotation drills.
Hygiene habits
End sensitive sessions with clear. Use Ghost mode when threads should not linger. Separate work and personal profiles on shared machines. m.
calendar ping for thread cleanup — rituals stick with reminders. Disable notification previews on sensitive devices. Export before clear when you need a record for counsel or compliance. Deletion and documentation are not opposites when timed intentionally.
Pair Friday thread cleanup with rotating desk plants or coffee rituals — arbitrary pairing helps habits stick when willpower is low at week’s end. Traveling consultants should clear Secrypt before TSA inspection when border agents may scroll sidebars on unlocked laptops.
Verify yourself
Five-minute drill: create a thread, note sidebar presence, clear, confirm gone. Repeat with Ghost mode. If behavior matches expectations, adopt internally.
New hire orientation should include the verify drill — institutionalize habit early instead of assuming everyone reads policy. Re-test after vendor policy update emails land. Storage behavior changes more often than users notice.
Document verify drill results in personal security notes with dates. When Secrypt updates policy email arrives, rerun the drill before your next sensitive project starts. Teach teenagers the verify drill before recommending any chat tool — school projects increasingly involve AI drafts.
Frequently asked questions
Does Secrypt store chats forever?
Secrypt offers export, clear, Ghost mode, and encrypted history — not infinite invisible storage. Read live policy for backup timing and operational metadata.
If I delete, is training reversed?
No-training addresses future model improvement, not retroactive magic. If text was already processed under a training-heavy vendor, deletion cannot unsend that history.
Does Ghost mode skip all storage?
Ghost limits ordinary history persistence for ephemeral threads. It does not replace HTTPS inference or stop operational systems from seeing prompts during the session.
Are free users stored differently?
Read current plan language on secrypt.space. Free enables evaluation; privacy stance should be stated clearly regardless of tier — verify rather than assume.
Can employers see my Secrypt chats?
Employer visibility depends on account type, device control, and policy — not marketing slogans. Use personal accounts on personal devices for truly personal topics when policy allows.
Is local AI the only way to avoid storage?
Local maximizes custody when operated offline, but Secrypt history controls plus no-training stance fit many users who need hosted speed without consumer defaults.
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.