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 COR Concepts
COR Concepts provides Information Governance, Records Management and Enterprise Content Management (ECM) consulting and training services. The company is built on the belief that any Information, Records or Document Management initiative should be designed to extract the maximum business benefit for the organization.
We bring together Compliance, Risk Management and Operational information requirements in a way that delivers benefits to each one of these diverse business units. Our approach is to use an array of industry standards and best practice methodologies to ensure that each implementation will stand the test of time.
We see information governance and records management as an integral part of any Enterprise Content Management implementation and focus on building a solid platform including a records management policy, records management procedures, file plans and a solid change management infrastructure. Building and implementing governance structures is becoming essential for success and we design structures to ensure that all governance aspects are included.