> ## Documentation Index > Fetch the complete documentation index at: https://mintlify.com/MicrosoftDocs/azure-ai-docs/llms.txt > Use this file to discover all available pages before exploring further. # Responsible AI Overview > Learn about responsible AI practices, safety controls, and governance tools in Microsoft Foundry for building trustworthy AI agents. # Responsible AI for Microsoft Foundry Microsoft Foundry provides comprehensive tools and practices for building trustworthy AI agents with end-to-end security, observability, and governance. ## Responsible AI Framework Our approach follows the [Microsoft Responsible AI Standard](https://aka.ms/RAI) with three key stages: Identify agent quality, safety, and security risks before and after deployment Apply safeguards at model output and agent runtime levels Monitor agents through tracing, logging, and compliance integrations ## Safety Controls ### Content Filtering **Capabilities**: * Block harmful inputs and outputs * Detect and prevent jailbreak attempts * Mitigate prompt injection attacks (including XPIA) * Filter for multiple harm categories **Categories**: * Violence and self-harm * Sexual content * Hate speech * Protected material ### Prompt Injection Protection **Protections**: * Input sanitization * Context isolation * Cross-prompt injection attack (XPIA) detection * User/system message separation ## Observability ### Conversation Tracing **Features**: * Full conversation history * Tool invocation logs * Decision point tracking * Performance metrics ### Application Insights Integration **Capabilities**: * Usage data and metrics * Performance monitoring * Error tracking * Custom telemetry ### Evaluation Tools **Assessment types**: * Quality evaluations * Safety assessments * Performance benchmarks * Custom metrics ## Governance ### Identity and Access **Controls**: * Microsoft Entra ID authentication * Role-based access control (RBAC) * Managed identities * Conditional access policies ### Data Governance **Capabilities**: * Data residency controls * Customer-managed encryption keys * Audit logging * Compliance certifications ### Network Security **Features**: * Private endpoints * Virtual network integration * Network isolation * Data exfiltration prevention ## Security Alerts View and respond to security alerts in the **Risks + alerts** section: Navigate to Microsoft Foundry portal Choose your project Go to **Risks + alerts** in left navigation Review active alerts and take remediation steps ## Best Practices * Run adversarial testing * Evaluate with representative data * Test edge cases and failure modes * Conduct red team exercises * Set up Application Insights * Track key performance metrics * Monitor for anomalies * Review conversation logs regularly * Use content filters * Enable prompt injection protection * Apply RBAC and network controls * Encrypt data at rest and in transit * Maintain agent documentation * Log all configurations * Review audit logs * Document incident responses ## Resources * [Microsoft AI Principles](https://www.microsoft.com/ai/responsible-ai) * [Responsible AI Resources](https://www.microsoft.com/ai/tools-practices) * [Azure AI Content Safety](https://azure.microsoft.com/services/cognitive-services/content-safety/) * [Microsoft Responsible AI Standard](https://aka.ms/RAI) ## Next Steps Learn about agent capabilities Configure enterprise security Deploy secure infrastructure Build your first agent