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 CMIT Solutions of Austin - Downtown & West
CMIT specializes in IT solutions that monitor your computers and systems 24/7/365. This proactive management system notifies us when devices in your network experience an issue, backs up your data safely and securely and prevents cybersecurity problems before they affect your business.
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