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Automated adversarial testing and red-teaming for Microsoft Copilot Studio agents using modular prompt-based attacks.
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This project is a Microsoft-authored Azure Sample, which fundamentally limits its defensibility as a standalone product. It is designed to demonstrate how to use existing Azure capabilities to test Copilot Studio agents. With only 2 stars and 0 forks after nearly 4 months, it has zero market traction. Technically, it is a wrapper around LLM-based red-teaming techniques that are being rapidly commoditized. Microsoft itself is the primary threat; they are actively integrating 'Evaluators' and automated red-teaming directly into Azure AI Studio and Copilot Studio's native interfaces. Furthermore, Microsoft's more robust open-source red-teaming tool, PyRIT (Python Risk Identification Tool), largely supersedes this specific sample in terms of capability and community support. For an investor or developer, this is a 'how-to' guide rather than a foundation for a business. The displacement horizon is very short because the functionality is being absorbed into the core platform UI as a first-class feature.
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