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6 changes: 3 additions & 3 deletions Document/content/1.2Objectives.md
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Expand Up @@ -8,7 +8,7 @@ The Guide is intended to the following audience:

- **AI Security testers** looking to go beyond traditional vulnerability scanning and assess model behaviors.
- **AI Auditors and compliance teams** verifying adherence to Responsible AI standards.
- **AI Engineeds, Developers and MLOps professionals** needing actionable insights into how to make AI systems resilient and trustworthy.
- **AI Engineers, Developers and MLOps professionals** needing actionable insights into how to make AI systems resilient and trustworthy.
- **AI Red teamers** performing adversarial evaluations or generative AI red teaming.

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Expand All @@ -26,9 +26,9 @@ This guide is structured around a clear methodology:

2. **Threat Mapping**
We map threats from multiple sources:
-OWASP Top 10 for LLM
- OWASP Top 10 for LLM
- OWASP AI Exchange
- Responsible and Trustworthu AI frameworks.
- Responsible and Trustworthy AI frameworks.

4. **Test Design**
For each identified threat, we design corresponding test cases. Each test includes:
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