Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications
In the rapidly evolving landscape of generative AI, business leaders are trying to strike the right balance between innovation and risk management. Prompt injection attacks have emerged as a significant challenge, where malicious actors try to manipulate an AI system into doing something outside its intended purpose, such as producing harmful content or exfiltrating confidential data. In addition to mitigating these security risks, organizations are also concerned about quality and reliability. They want to ensure that their AI systems are not generating errors or adding information that isn’t substantiated in the application’s data sources, which can erode user trust.