What AI vendors commit to, in their own words.

Name: Anteroom AI vendor commitments
Creator: Anteroom
Keywords: AI vendor commitments, AI vendor commitment tracker, AI vendor commitment matrix, no-train default, IP indemnity, customer copyright commitment, copyright shield

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.

Vendors

Commitments per vendor

5 / 105

Verified cells

Comparing

Side-by-side compare

Comparing Anthropic, AWS Bedrock, Databricks. URL is shareable.

View full matrix →

Commitment	Anthropic Claude	AWS Bedrock Amazon Bedrock	Databricks Mosaic AI, DBRX
AUP	Usage Policy (effective September 15, 2025) verifiedsource ↗2025-09-15	AWS Acceptable Use Policy draftsource ↗	Databricks Acceptable Use Policy draftsource ↗
No-train default	Anthropic may not train models on Customer Content (Inputs + Outputs) under Commercial Terms verifiedsource ↗2025-06-17	Customer data in Bedrock not used to train base foundation models draftsource ↗	Customer data in Mosaic AI Model Serving not used to train base foundation models draftsource ↗
Output ownership	Customer retains all rights to Inputs; owns Outputs verifiedsource ↗2025-06-17	Customer owns Outputs draftsource ↗	Customer owns Outputs draftsource ↗
IP indemnity program	Pending verification (Claude Enterprise terms) draftsource ↗	Uncapped IP indemnity for covered Bedrock services draftsource ↗	Indemnity available for Covered AI Services draftsource ↗
Retention default	API: 30 days for safety. Enterprise: 0 days available. draftsource ↗	Not retained beyond inference unless customer enables logging draftsource ↗	Not retained beyond inference unless customer enables logging 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 ↗	Standard Databricks product lifecycle policy draftsource ↗
Safety framework	Responsible Scaling Policy v3.3 (effective May 26, 2026) verifiedsource ↗2026-05-26	Relies on underlying model providers (Anthropic RSP, Meta, etc.) draftsource ↗	Databricks AI Security Framework (DASF) draftsource ↗

Anthropic

Claude

AUP: Usage Policy (effective September 15, 2025)
verifiedsource ↗2025-09-15
No-train default: Anthropic may not train models on Customer Content (Inputs + Outputs) under Commercial Terms
verifiedsource ↗2025-06-17
Output ownership: Customer retains all rights to Inputs; owns Outputs
verifiedsource ↗2025-06-17
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)
verifiedsource ↗2026-05-26

AWS Bedrock

Amazon Bedrock

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 ↗

Databricks

Mosaic AI, DBRX

AUP: Databricks Acceptable Use Policy
draftsource ↗
No-train default: Customer data in Mosaic AI Model Serving not used to train base foundation models
draftsource ↗
Output ownership: Customer owns Outputs
draftsource ↗
IP indemnity program: Indemnity available for Covered AI Services
draftsource ↗
Retention default: Not retained beyond inference unless customer enables logging
draftsource ↗
Deprecation notice: Standard Databricks product lifecycle policy
draftsource ↗
Safety framework: Databricks AI Security Framework (DASF)
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.