AI Companion App Privacy Compared (2026): What They Keep, Where It's Stored
Most AI companion apps do not encrypt your conversations end-to-end. Most store them indefinitely. Most can use them for model training. For a category of app that routinely receives intimate, emotional and identifying information, this is a serious privacy picture.
This guide reviews privacy practices of the top eight AI companion apps based on their publicly available privacy policies and our own testing (data export requests, deletion verification, support responses) in Q1 2026.
Summary table
| App | E2E Encryption | Local Memory Option | Training Use | Data Export | Deletion Verified |
|---|---|---|---|---|---|
| Replika | No | No | Opt-out available | Yes | Partial |
| Nomi | No | No | Ambiguous | Yes | Yes |
| Kindroid | Partial | Yes (local mode) | Opt-out available | Yes | Yes |
| Character.AI | No | No | Default yes, opt-out | Yes | Partial |
| Candy.ai | No | No | Ambiguous | Partial | Yes |
| Secrets.ai | No | No | Ambiguous | Limited | Partial |
| Paradot | No | No | Stated no | Yes | Yes |
| Woebot (YMYL) | HIPAA-compliant | N/A | No | Yes | Yes |
How we tested
For each app we: (1) read the full privacy policy, (2) submitted a data export request, (3) submitted a deletion request, (4) re-tested the app with the same account 7 days later to verify deletion. We also reviewed each company's breach history via public incident databases.
Privacy winners
Kindroid leads among consumer AI companions. Its local-memory mode is a meaningful differentiator — conversation history can be stored on your device, not their servers. Data deletion requests were processed and verified within 7 days.
Woebot leads in YMYL category. HIPAA-compliant, FDA-cleared Class II medical device. Data handling meets clinical standards — but this is a mental-health app, not an adult companion, so comparison is limited.
Paradot explicitly states no training on user conversations and processed our deletion cleanly.
Apps with notable privacy concerns
Character.AI defaults to using conversations for model training. Users must navigate settings to opt out. Deletion requests were processed but some derived content appeared to remain in training sets.
Secrets.ai has a limited data export mechanism. Our deletion request was processed but verification was inconclusive.
What you can do regardless of which app
- Never share banking, legal, medical or national-ID information. Even with HIPAA-compliant apps, don't overshare.
- Use a dedicated email for AI companion accounts, not your primary personal or work email.
- Opt out of model training wherever the option exists. Check settings carefully — default is usually opt-in.
- Export your data quarterly. Most apps support this. If they suddenly change policies or shut down, you'll have your history.
- Use a payment method with dispute capability (credit card, not debit) if subscribing, in case of unauthorized charges.
- Delete old conversations periodically rather than keeping years of history server-side.
Legal and regulatory landscape
GDPR (EU), CCPA (California), UK GDPR, and newer regulations (EU AI Act) govern user data. In 2026, AI companion apps are not explicitly category-regulated beyond general data protection law. Users in the EU have stronger legal rights to data portability and deletion than users in most other jurisdictions.
FAQ
Can I be identified from my AI companion conversations?
Yes. Conversations often contain names, addresses, employers, family members, and patterns that can identify you. Assume the content is identifying and act accordingly.
Has any AI companion app had a data breach?
Several smaller apps have, per public breach databases. None of the major apps covered here had a disclosed breach in 2024-2026 at time of writing.
Is end-to-end encryption coming?
Unlikely in the near term for multi-turn AI chat because the model must process your conversation to respond. Some experimental architectures exist but are not production-ready.
What's the most private way to use AI companions?
Kindroid with local-memory mode. Or, for technical users, running an open-source LLM locally (Llama 3, Mistral) — complete privacy but requires hardware and expertise.