- AUP
Usage Policy (effective September 15, 2025)
- No-train default
Anthropic may not train models on Customer Content (Inputs + Outputs) under Commercial Terms
- Output ownership
Customer retains all rights to Inputs; owns Outputs
- IP indemnity program
Pending verification (Claude Enterprise terms)
draftsource ↗- Retention default
API: 30 days for safety. Enterprise: 0 days available.
draftsource ↗- Deprecation notice
At least 60 days notice before retirement for publicly released models
verifiedsource ↗- Safety framework
Responsible Scaling Policy v3.3 (effective May 26, 2026)
What AI vendors commit to, in their own words.
Seven commercial commitments tracked across AI vendors: acceptable use policy, no-train default, output ownership, IP indemnity program, retention default, deprecation notice, and safety framework version. Every cell is anchored to a primary source URL. No interpretation. The product is structured citation.
Comparing Anthropic, AWS Bedrock, Meta. URL is shareable.
| Commitment | Anthropic Claude | AWS Bedrock Amazon Bedrock | Meta Llama |
|---|---|---|---|
| AUP | Usage Policy (effective September 15, 2025) | AWS Acceptable Use Policy draftsource ↗ | Llama Acceptable Use Policy draftsource ↗ |
| No-train default | Anthropic may not train models on Customer Content (Inputs + Outputs) under Commercial Terms | Customer data in Bedrock not used to train base foundation models draftsource ↗ | Open-weights distribution. Llama license does not require Meta to train on customer data; in-product Meta AI has separate terms. draftsource ↗ |
| Output ownership | Customer retains all rights to Inputs; owns Outputs | Customer owns Outputs draftsource ↗ | Customer / licensee owns Outputs subject to Llama Community License terms draftsource ↗ |
| IP indemnity program | Pending verification (Claude Enterprise terms) draftsource ↗ | Uncapped IP indemnity for covered Bedrock services draftsource ↗ | No standalone indemnity program for Llama itself. Some distributors (AWS Bedrock, Databricks) provide their own. draftsource ↗ |
| Retention default | API: 30 days for safety. Enterprise: 0 days available. draftsource ↗ | Not retained beyond inference unless customer enables logging draftsource ↗ | Not applicable for open-weights local deployment. Hosted Meta AI separate terms. draftsource ↗ |
| Deprecation notice | At least 60 days notice before retirement for publicly released models verifiedsource ↗ | Ad-hoc per underlying model provider. Bedrock relays provider deprecation. draftsource ↗ | Ad-hoc per Llama version release. No formal cross-version commitment. draftsource ↗ |
| Safety framework | Responsible Scaling Policy v3.3 (effective May 26, 2026) | Relies on underlying model providers (Anthropic RSP, Meta, etc.) draftsource ↗ | Frontier AI Framework v1.1 draftsource ↗ |
- AUP
AWS Acceptable Use Policy
draftsource ↗- No-train default
Customer data in Bedrock not used to train base foundation models
draftsource ↗- Output ownership
Customer owns Outputs
draftsource ↗- IP indemnity program
Uncapped IP indemnity for covered Bedrock services
draftsource ↗- Retention default
Not retained beyond inference unless customer enables logging
draftsource ↗- Deprecation notice
Ad-hoc per underlying model provider. Bedrock relays provider deprecation.
draftsource ↗- Safety framework
Relies on underlying model providers (Anthropic RSP, Meta, etc.)
draftsource ↗
- AUP
Llama Acceptable Use Policy
draftsource ↗- No-train default
Open-weights distribution. Llama license does not require Meta to train on customer data; in-product Meta AI has separate terms.
draftsource ↗- Output ownership
Customer / licensee owns Outputs subject to Llama Community License terms
draftsource ↗- IP indemnity program
No standalone indemnity program for Llama itself. Some distributors (AWS Bedrock, Databricks) provide their own.
draftsource ↗- Retention default
Not applicable for open-weights local deployment. Hosted Meta AI separate terms.
draftsource ↗- Deprecation notice
Ad-hoc per Llama version release. No formal cross-version commitment.
draftsource ↗- Safety framework
Frontier AI Framework v1.1
draftsource ↗
Methodology. Each cell quotes from a vendor primary source (Acceptable Use Policy, Commercial Terms, Trust Portal, Safety Framework, or equivalent). The product never paraphrases or interprets vendor language. It quotes and links.
How verification works. Cells marked pending are scaffolded with a best-effort summary and the source URL, but the exact clause has not yet been pasted into the quote field. The verification flow: open the source, find the relevant clause, paste the exact text into the cell, then flip the verified flag. Until a cell is verified it should not be cited in writing.
Found a cell that is wrong, stale, or missing? Email hello@anteroom.so.