Provision record
AWS Bedrock · AWS Service Terms · View original document ↗

Prohibition on Training Competing Models with Bedrock Outputs

Medium severity Medium confidence Explicit document language Common · 263 of 352 platforms
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Document Record

What it is

You are not permitted to take the outputs you receive from Amazon Bedrock and use them to build or train an AI model that would compete with Bedrock or other AWS services.

ⓘ

This analysis describes what AWS Bedrock's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

This provision directly restricts how enterprise AI teams can use inference outputs in their internal model development and fine-tuning workflows, which may affect standard MLOps practices that aggregate model responses into training datasets.

⚠

Interpretive note: The scope of what constitutes a service that competes with Amazon Bedrock or AWS is not exhaustively defined in the document, creating interpretive uncertainty about edge cases.

Recent Activity

This document changed recently

Medium Sep 2, 2026

The updated terms remove the explicit reference to a Data Processing Addendum governing Anthropic data transfers, though the requirement to obtain opt-in consent for Anthropic model use remains in place. For Kiro users, the revised language now explicitly states that abuse detection includes retention and potential human review of inputs and outputs when selecting certain models. Users of Anthropic models on Bedrock should verify opt-in consent mechanisms in service documentation to understand data handling practices.

View change record →
High Aug 18, 2026

The updated terms establish a new project-based service structure for AWS (new) users, effective August 17, 2026, with new rules governing team member access and content ownership. Users who enable spend limits agree that AWS may suspend their account or project access upon reaching their limit, and may permanently close the account or project if not reactivated within an unspecified timeframe. Contributed content by team members becomes the project owner's property and is subject to a nonexclusive irrevocable license granted to all project members. You can configure AI services opt-out policies through AWS Settings; project owners can manage team member permissions and access controls.

View change record →
Medium Jul 30, 2026

The updated terms now explicitly state that AWS IoT SiteWise Scenario Discovery is not designed for real-time vehicle control and cannot be used as the sole basis for determining vehicle safety or regulatory compliance. Organizations deploying this service must implement independent human monitoring and safety validation before using its outputs to support vehicle system decisions. The terms make clear that AWS assumes no responsibility for uses that violate these constraints.

View change record →

Consumer impact (what this means for users)

The terms prohibit using Bedrock model outputs in pipelines that train or develop competing AI foundation models; organizations must audit whether their internal AI development workflows that incorporate Bedrock outputs are compliant with this restriction.

How other platforms handle this

Microsoft Medium

Microsoft reserves the right to restrict the export of data that may compromise the security of the services or Microsoft's intellectual property.

Datadog Medium

Datadog reserves the right, but does not assume the obligation, to investigate any violation of these Terms or misuse of the Site.

Mailchimp Medium

Pharmaceutical products

See all platforms with this clause type →
▸ View Original Clause Language DOCUMENT RECORD
"
You may not use the Services to develop foundation models or other large scale models that compete with Amazon Bedrock or any other AWS Service.

Excerpt from AWS Bedrock's AWS Service Terms

ConductAtlas Analysis

Institutional analysis (regulatory & governance intelligence)

(1) REGULATORY LANDSCAPE: This restriction is primarily a contractual obligation rather than one directly mandated by regulation.

Insight

Unlock the full institutional analysis

Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.

Applicable agencies

  • Federal Trade Commission (ftc)
    Oversees unfair or deceptive business practices and can investigate companies that mislead consumers about data collection, sharing, or use.
    Who can file: Anyone affected by the company's practices (US or international)
    What you need: Your account details, a timeline of relevant events, and a description of the specific issue
    What to expect: Complaints inform FTC enforcement priorities and investigations but do not result in individual resolution or compensation
    File a complaint →

Provision details

Document information
Document
AWS Service Terms
Entity
AWS Bedrock
Document last updated
May 5, 2026
Tracking information
First tracked
May 12, 2026
Last verified
May 12, 2026
Record ID
CA-P-011410
Document ID
CA-D-00648
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
880a4da359a0dff037c3d51956decd29ac6fa13b72df323303ce916dc8798c62
Analysis generated
May 12, 2026 09:51 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: AWS Bedrock
Document: AWS Service Terms
Record ID: CA-P-011410
Captured: 2026-05-12 09:51:22 UTC
SHA-256: 880a4da359a0dff0…
URL: https://conductatlas.com/platform/aws-bedrock/aws-service-terms/provision/CA-P-011410/prohibition-on-training-competing-models-with-bedrock-outputs/
Accessed: Sept. 26, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
Medium
Categories

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Frequently Asked Questions

What does AWS Bedrock's Prohibition on Training Competing Models with Bedrock Outputs clause do?

This provision directly restricts how enterprise AI teams can use inference outputs in their internal model development and fine-tuning workflows, which may affect standard MLOps practices that aggregate model responses into training datasets.

How does this clause affect you?

The terms prohibit using Bedrock model outputs in pipelines that train or develop competing AI foundation models; organizations must audit whether their internal AI development workflows that incorporate Bedrock outputs are compliant with this restriction.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 263 platforms. See the full comparison.

Is ConductAtlas affiliated with AWS Bedrock?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by AWS Bedrock.