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Update AITG-APP-03_Testing_for_Sensitive_Data_Leak.md
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@@ -86,10 +86,8 @@ A vulnerability is confirmed if the AI model:
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- Continuously monitor and test model outputs for potential leakage of sensitive data.
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### Suggested Tools
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- **Garak – Sensitive Information Disclosure Probe**: Specialized module within Garak specifically designed to detect sensitive data leaks.
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- **URL**: [https://github.com/NVIDIA/garak/blob/main/garak/probes/leakreveal.py](https://github.com/NVIDIA/garak/blob/main/garak/probes/leakreveal.py)
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- **Microsoft Counterfit**: An AI security tool capable of identifying sensitive data exposure in model outputs.
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- **URL**: [https://github.com/Azure/counterfit](https://github.com/Azure/counterfit)
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- **Garak – Sensitive Information Disclosure Probe**: Specialized module within Garak specifically designed to detect sensitive data leaks - [Link](https://github.com/NVIDIA/garak/blob/main/garak/probes/leakreveal.py)
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- **Microsoft Counterfit**: An AI security tool capable of identifying sensitive data exposure in model outputs - [Link](https://github.com/Azure/counterfit)
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### References
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- OWASP Top 10 LLM02:2025 Sensitive Information Disclosure - [https://genai.owasp.org](https://genai.owasp.org/llmrisk/llm02-insecure-output-handling)
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