Understanding Content Safety Blocklists & KPI Monitoring in Azure OpenAI Enterprise

Question

Hello Azure Community,

I’m currently using Azure OpenAI’s Enterprise product and have some questions regarding content safety, blocklists, and KPI monitoring.

Content Safety & Blocklists:

I understand that the Enterprise version may have additional or specific blocklists for content moderation. Can someone clarify what these blocklists include and how they differ from the standard version?

Is there a way to customize or manage these blocklists to align with specific compliance or business requirements?

Monitoring KPIs in Detail:

1. What tools or dashboards are available to monitor key performance indicators (KPIs) related to content moderation and safety enforcement?
2. Can we track specific metrics like flagged content rates, false positives, latency impact, or other relevant operational insights?
3. Are there Azure Monitor or Log Analytics integrations available for deeper analysis?

If anyone has experience implementing or managing these aspects in an Enterprise setup, I’d greatly appreciate your insights. Also, any relevant documentation or best practices would be very helpful!

Thanks in advance!

Answer 1

Hi @Harinath J,

Thank you for reaching out with your questions regarding content safety, blocklists, and KPI monitoring in Azure OpenAI.

Content Safety & Blocklists

The Enterprise version includes enhanced content moderation with advanced blocklists that go beyond the standard version. These blocklists help filter out harmful or sensitive content in both user inputs and AI responses.

Customizable Blocklists: You can tailor these blocklists to align with your organization’s compliance and business needs. Azure AI Content Safety allows you to adjust harm severity levels and even enable asynchronous moderation to reduce latency.

Additional Security Features: Azure OpenAI integrates seamlessly with Microsoft Entra ID for secure access and supports Customer-Managed Key encryption to ensure data protection.

Monitoring KPIs in Detail

To help track and manage AI performance, Azure provides several tools for monitoring key metrics:

Azure Monitor & Log Analytics – These tools allow you to track flagged content rates, false positives, latency impact, and other operational insights. You can set up alerts and detailed reports to monitor trends over time.

You can write custom Kusto query to find desired result from log analytics workspace.

Specific Metrics: You can review the flagged/false positive/harmful data from "Try it out" tab option from "Safety and Secuity section" from Azure AI Foundry.

SLA and Latency: You will have more SLA compared to standard version.

AI Security & Compliance – Microsoft is committed to meeting industry standards like HIPAA, SOC 2, and FedRAMP, making Azure OpenAI a trusted choice for enterprises.

For more details, please refer to:

• Enterprise trust in Azure OpenAI
• Enterprise Azure OpenAI Hub
• Use a blocklist with Azure OpenAI
• Azure Monitor Logs tables

Hope this helps. Do let us know if you any further queries.

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