Here are the main updates

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Risk and security assessment for indirect prompt injection attacks
One of the most notable new features is the ability to simulate prompt injection attacks on generative AI applications . This tool allows users to measure the failure rate in detecting and mitigating these attacks, providing a detailed assessment of how their application responds to such threats.

By digging deeper into the assessment details, users can better understand the associated risks and improve the security of their AI applications . This functionality is crucial to anticipate and prevent potential vulnerabilities in AI systems.

Detecting and remediating unsafe content in Azure AI Content Safety
Azure AI Content Safety has been significantly improved with the ability to detect and remediate unsafe content in real-time . This new advanced capability not only identifies unsubstantiated content or misconceptions in AI-generated outputs but also remediates them by aligning generative responses with connected data sources.

This ensures that the final results are accurate, reliable qatar whatsapp resource and based on solid information . This functionality is essential to maintain the integrity and trust in AI solutions, especially in critical applications where the accuracy of information is vital.

Detecting protected material for development code
Another important update in Azure AI Content Safety is the detection of protected material in development code . This feature helps identify and block the use of pre-existing code by checking for matches in public GitHub repositories.

By doing so, transparency and collaboration within the development community is promoted , ensuring that the code used is original and complies with intellectual property regulations. This tool is especially useful for developers seeking to maintain high standards of ethics and legality in their projects.

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