azure-content-safety

Configure Azure AI Content Safety policies by defining category thresholds and prompt rules that filter harmful outputs while minimizing false positives, ensuring moderation aligns with your application's acceptable risk levels and user experience requirements.

Troubleshoot Azure Content Safety API errors by validating endpoint configurations, verifying category policy mappings, and inspecting prompt shield logic to identify misconfigured safety rules or deployment environment mismatches across your Docker containers.

Yes, you can deploy Azure Content Safety using Docker containers to run safety categorization locally or in isolated environments, enabling secure prompt handling and content moderation pipelines without direct cloud API dependencies.

Prompt shields analyze user inputs and system prompts in real time to detect and block jailbreak attempts or malicious injections, securing chat assistants by enforcing Azure Content Safety policy boundaries before generating responses.

Content Safety configuration fails to block outputs when category severity thresholds are set too loosely or prompt shield policies are misconfigured, requiring you to tighten safety rules and verify API deployment settings.