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Update AITG-APP-04_Testing_for_Input_Leakage.md

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Matteo Meucci
2025-11-23 13:33:29 +01:00
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Document/content/tests/AITG-APP-04_Testing_for_Input_Leakage.md
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@@ -141,10 +141,8 @@ A vulnerability is confirmed if the AI model:
- Ensure guardrails normalize inputs prior to filtering and detect obfuscated sensitive data and contextual cues in both inputs and outputs.
### Suggested Tools
- **Garak – Input Leakage Probe**: Specialized Garak module designed to detect sensitive input data leaks.
- **URL**: [https://github.com/NVIDIA/garak/blob/main/garak/probes/leakreveal.py](https://github.com/NVIDIA/garak/blob/main/garak/probes/leakreveal.py)
- **Microsoft Counterfit**: An AI security tool capable of testing for input leakage issues in model interactions.
- **URL**: [https://github.com/Azure/counterfit](https://github.com/Azure/counterfit)
- **Garak – Input Leakage Probe**: Specialized Garak module designed to detect sensitive input data leaks - [Link](https://github.com/NVIDIA/garak/blob/main/garak/probes/leakreveal.py)
- **Microsoft Counterfit**: An AI security tool capable of testing for input leakage issues in model interactions - [Link](https://github.com/Azure/counterfit)
### References
- OWASP Top 10 LLM02:2025 Sensitive Information Disclosure - [https://genai.owasp.org](https://genai.owasp.org/llmrisk/llm02-insecure-output-handling)