Use Case: Insecure Output Handling | Detection.FYI

Azure OpenAI Insecure Output Handling

Sep 19, 2026 · Domain: LLM 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 Domain: GenAI Service: Azure OpenAI Service: Azure Event Hubs ·
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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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