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    • How Tresor protects your privacy
    • Tresor vs. ChatGPT, Claude & others
    • Verifying your conversation's privacy
    • What is a secure enclave?
    • What Tresor can and cannot see
Docs / Privacy and Security

Tresor vs. ChatGPT, Claude & others

Tresor keeps your conversations private by design using encryption and sealed enclaves. Here's how that compares to ChatGPT, Claude, Gemini, and other AI assistants.

Tresor vs. ChatGPT, Claude & others

In a nutshell: Most AI assistants promise not to misuse your data. Tresor can't, even if it wanted to. That's the fundamental difference.

Comparison at a glance

Feature

Tresor

ChatGPT (OpenAI)

Claude (Anthropic)

Gemini (Google)

Can the provider read your messages?

No — sealed enclave

Yes — processed on their servers

Yes — processed on their servers

Yes — processed on their servers

Messages encrypted end-to-end?

✅ Yes

❌ No

❌ No

❌ No

Conversation history encrypted?

✅ Client-side encryption

❌ Stored in plaintext on provider servers

❌ Stored in plaintext on provider servers

❌ Stored in plaintext on provider servers

No Data being used for training?

✅ Never

Opt-out available (but data is still processed)

Opt-out available

Opt-out available (varies by product)

Privacy is verifiable?

✅ Cryptographic proof per message

❌ Trust-based only

❌ Trust-based only

❌ Trust-based only

Hardware isolation (enclave)?

✅ Yes

❌ No

❌ No

❌ No

EU-native?

✅ Yes

❌ US-based

❌ US-based

❌ US-based

The trust model difference

Traditional AI assistants: "Trust us"

When you use ChatGPT, Claude, or Gemini, your messages are processed on the provider's servers in plaintext. The provider:

  • Could read your messages (technically possible)

  • Promises not to misuse them (policy-based protection)

  • May use your data for training unless you opt out

  • Stores your conversation history in a form they can access

Your privacy depends on their policies, their security practices, and jurisdictional regulations.

Tresor: "You don't need to trust us"

Tresor eliminates the need for trust by using technology that makes unauthorized access impossible:

  • Your messages are encrypted before they leave your browser.

  • They're processed in sealed hardware enclaves that nobody can inspect.

  • Your conversation history is stored as encrypted data that Tresor can't read.

  • Every message has cryptographic proof of private processing.

The difference isn't about Tresor being more trustworthy as a company. It's that Tresor's architecture makes trust unnecessary.

When does this matter?

For casual conversations — asking for recipe suggestions or help with a crossword — the privacy difference is minimal. But in professional contexts, it matters enormously:

Scenario

Risk with standard AI

With Tresor

Drafting legal strategy

Provider could see privileged information

Protected by encryption + enclave

Analyzing financial data

Confidential numbers on provider servers

Numbers never leave your encrypted session

Discussing HR situations

Employee data exposed to a third party

Zero-access — Tresor can't see it

Client consulting work

Client confidentiality at risk

Provably private processing

Health or therapy contexts

Sensitive personal data on US servers

EU-native, encrypted, sealed

"But ChatGPT says it doesn't train on my data"

You're right — if you opt out or use ChatGPT Enterprise or the API. But there's a key distinction:

  • Policy protection: "We won't use your data" → Can be changed, subpoenaed, or breached.

  • Technical protection: "We can't access your data" → True regardless of policies, legal orders, or security incidents.

Tresor provides technical protection. Your data's privacy doesn't depend on any company's promises holding up.

What about on-premise AI?

Running AI models on your own servers is another way to keep data private. However:

  • It requires significant IT infrastructure and expertise.

  • You need to manage GPUs, updates, security, and scaling.

  • Model quality may be limited by your hardware.

  • Cost is typically much higher for small and medium teams.

Tresor gives you the privacy of on-premise with the convenience of the cloud — the same AI models, accessible from your browser, with no infrastructure to manage.

Good to know

  • Tresor isn't "anti" other AI tools. If you use ChatGPT for personal, non-sensitive tasks, that's perfectly fine. Tresor is built specifically for when privacy matters.

  • Tresor offers models from multiple providers — including OpenAI-compatible models — so you're not sacrificing model quality for privacy.

  • All models in Tresor run inside verified secure enclaves. Switching to Tresor doesn't mean switching to less capable AI.

Related articles

  • How Tresor protects your privacy — Full technical explanation.

  • What is a secure enclave? — Understand the technology behind it.

  • What Tresor can and cannot see — Transparent data access breakdown.

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