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Error 715-123420 (RTFP fraud block) deploying gpt-image-2 — request security-team review/unblock

Byungho Lee 0 Reputation points
2026-06-03T16:58:25.8466667+00:00

Deploying gpt-image-2 in Azure AI Foundry fails with error 715-123420: "An error occurred. Please reach out to support for additional assistance." This appears to be an RTFP (Real-Time Fraud Protection) platform-level block, so I'm requesting a security-team review and unblock.

Evidence it is model-specific and NOT an account, quota, or region issue: on the SAME subscription, SAME resource, and SAME region (East US 2), gpt-5-mini (version 2025-08-07, Global Standard, capacity 50) deploys successfully and runs inference normally. Only gpt-image-2 (version 2026-04-21) returns 715-123420, at both capacity 1 and capacity 3, with the GlobalStandard SKU the model advertises.

Deployed via the official path (az cognitiveservices account deployment create), default Global Standard option, no custom Terraform.

This is the same symptom as the existing thread "Error 715-123420 (RTFP fraud block) deploying gpt-5.5 and gpt-image-2" — requesting the same INC escalation to the internal risk/security team.

I can provide the subscription ID, exact resource ID, and the three failed-deployment correlation IDs via private message.

Thank you.

Azure OpenAI in Foundry Models

2 answers

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  1. Karnam Venkata Rajeswari 3,655 Reputation points Microsoft External Staff Moderator
    2026-06-04T08:31:50.94+00:00

    Hello @Byungho Lee ,

    Welcome to Microsoft Q&A .Thank you for reaching out to us.

    Thank you for sharing the details regarding the 715‑123420 error observed during model deployment.

    The 715‑123420 error is identified as a platform-level validation block rather than a configuration or quota issue.

    This validation is performed during the deployment stage and may trigger when backend systems detect conditions requiring additional review .

    As a result:

    • Deployment fails immediately during validation
    • The error message appears generic without specific details
    • Other models or resources may continue to function normally

    This explains scenarios where certain models deploy successfully while others are blocked under the same setup.

    Although the issue is not caused by configuration, the following checks help confirm readiness:

    1. Model availability by region - Model availability varies across regions
    2. Quota and capacity validation-Quotas are applied per subscription,region and model
    3. Deployment consistency checks
      1. Ensure no stuck or duplicate deployment names
      2. Retry with a fresh deployment if needed

    These checks confirm that no standard blockers (quota, region, or RBAC) are contributing to the issue.

    While the validation is being reviewed, the following approaches may help continue progress:

    1. Use alternate models that are successfully deploying
    2. Attempt deployment in:
      • A different region (where supported)
      • A different deployment type (Standard / Global Standard)
    3. Retry deployment after some time (in case of transient backend behavior) Please note that if the validation block is tied to backend controls, these workarounds may not consistently bypass the issue.

    We have reached out to you on private messenger to assist you further.

    The following references might be helpful , please check them out

    Please let us know if the response was helpful

     

    Thank you

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  2. Amira Bedhiafi 42,846 Reputation points MVP Volunteer Moderator
    2026-06-03T18:41:45.75+00:00

    Hello Byungho !

    Thank you for posting on MS Learn Q&A.

    This looks like a backend block rather than a normal deployment configuration issue.

    Since gpt-5-mini deploys successfully on the same subscription, same Azure AI Foundry resource, same region and same SKU family, while only gpt-image-2 fails with 715-123420, this does not look like a general quota, billing, IAM or regional availability problem.

    The next step is to open an Azure support request and ask for escalation to the Azure OpenAI / Azure AI Foundry risk or security review team for a possible RTFP / fraud-protection block.

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