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Secure AI Prompt Handling

  • Amit Prasad,
  • Harvendra Singh

摘要

As enterprises increasingly adopt AI technologies, particularly in advanced frameworks like Blazor with .NET 10 and integrations such as Azure OpenAI, establishing a robust data governance framework becomes essential to harness AI’s power while managing risks. Data governance refers to the set of policies, standards, and processes that ensure the effective and secure management of data assets throughout their lifecycle. For AI integration, especially in prompt handling and model training, data governance assumes a critical role not only to comply with legal and ethical standards but also to maintain trust, data quality, and operational excellence.