How to Safeguard your generative AI applications in Azure AI
With Azure AI, you have a convenient one-stop-shop for building generative AI applications and putting responsible AI into practice. Watch this useful video to learn the basics of building, evaluating and monitoring a safety system that meets your organization's unique requirements and leads you to AI success.
What is Azure AI's role in generative AI applications?
Azure AI serves as a comprehensive platform for building generative AI applications while implementing Responsible AI practices. It provides tools to explore model catalogs, create safety systems, and monitor content for harmful elements.
How can I customize the safety system in Azure AI?
You can customize the safety system by adjusting blocklists and severity level thresholds to align with your unique requirements. Additionally, Azure AI Content Safety allows monitoring of both AI and human-generated content.
What features help ensure the security of generative AI models?
Azure AI includes features like Prompt Shields to detect and block prompt injection attacks, Groundedness Detection to identify ungrounded outputs, and Protected Material Detection to flag copyrighted content, enhancing the overall security of your models.
How to Safeguard your generative AI applications in Azure AI
published by Natural Intelligent Systems
Who Are Natural Intelligent Systems
We’re a systems integrator and managed services provider that designs manages and optimises today’s evolving technology environments to enable its clients to leverage data in a digital age.
Founded in 1988, and headquartered in Johannesburg, we are a small independent information communication technology (ICT) company, supported by a group of global technology companies.
We invest in innovation and training to bring together the world’s best technologies, from consulting, technical and support services to a fully managed service, to our client base.
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