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.
Azure AI is a platform designed for building and safeguarding generative AI applications. It provides tools and resources to implement Responsible AI practices, allowing users to explore a model catalog, create safety systems, and monitor applications for harmful content.
How does Azure AI ensure content safety?
Azure AI includes Azure AI Content Safety, which monitors text and images for potentially harmful content such as violence, hate, and self-harm. Users can customize blocklists and adjust severity thresholds. Additional features like Prompt Shields and Groundedness Detection help identify and mitigate risks related to prompt injection attacks and ungrounded outputs.
How can I evaluate my AI application's safety?
Before deploying your application, you can use Azure AI Studio’s automated evaluations to assess your safety system. This includes testing for vulnerabilities and the potential to generate harmful content, with results provided as severity scores or natural language explanations to help identify and address risks effectively.
How to Safeguard your generative AI applications in Azure AI
published by ivision
ivision is an IT services firm offering expertise in Security, Public Cloud & Automation, Digital Workspace, Enterprise Infrastructure, and Business Applications through solutions in Consulting Services, Managed Services, Product Resale, and Maintenance Lifecycle Renewal. We seek to earn clients for life every day by employing a client-centric, engineer-based approach. With offices in Atlanta, Pittsburgh, and Denver, we help organizations across the nation leverage technology to achieve their business goals.
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