Use Case: Insecure Output Handling | Detection.FYI

Azure OpenAI Insecure Output Handling

Oct 7, 2026 · Domain: GenAI Data Source: Azure OpenAI Data Source: Azure Event Hubs Use Case: Insecure Output Handling Resources: Investigation Guide Noise: Low Performance: Fast Threat: Unauthorized AI Usage Threat: LLMjacking Rule Type: ES|QL Platform: Azure Domain: Cloud Service: Azure OpenAI Service: Azure Event Hubs Mitre Atlas: AML.T0051 Mitre Atlas: AML.T0057 ·
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Detects when Azure OpenAI requests result in zero response length, potentially indicating issues in output handling that might lead to security exploits such as data leaks or code execution. This can occur in cases where the API fails to handle outputs correctly under certain input conditions.

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