Revise audit trails documentation for AI systems

Updated the audit trail documentation to emphasize the importance of audit trails in AI systems, detailing requirements for model and data changes, and outlining Azure AI Foundry's auditing capabilities.

Author: pablorodMS

learn-pr/wwl/design-responsible-ai-security-governance-risk-management-compliance/includes/9-design-audit-trails-changes-models-data.md

@@ -72,9 +72,9 @@ Architects must ensure logs capture _metadata_, not _content_, to avoid unnecess
 
 Azure AI Foundry provides a centralized control plane for model registration, environment configuration, agent deployment, and diagnostic logging.
 
-Key audit features include:
+### Key audit features include
 
-Foundry activity logs:
+#### Foundry activity logs
 
 Track administrative actions across workspaces, registries, and deployments. Logs support export to:
 
@@ -84,9 +84,9 @@ Track administrative actions across workspaces, registries, and deployments. Log
 
 - SIEM tools (such as Microsoft Sentinel)
 
-Foundry diagnostics and tracing:
+### Foundry diagnostics and tracing
 
-Diagnostics provide traceability of execution across:
+#### Diagnostics provide traceability of execution across
 
 - Model calls
 
@@ -98,7 +98,7 @@ Diagnostics provide traceability of execution across:
 
 ## Designing audit pipelines with tracing
 
-Tracing allows architects to follow execution paths and debug generative AI behaviors. When integrated into audit trails, tracing provides:
+### Tracing allows architects to follow execution paths and debug generative AI behaviors. When integrated into audit trails, tracing provides
 
 - End-to-end visibility of model inference
 
@@ -110,7 +110,7 @@ Tracing allows architects to follow execution paths and debug generative AI beha
 
 - Detection of unusual patterns (loops, excessive token spikes, cascading failures)
 
-Recommended tracing fields include:
+### Recommended tracing fields include
 
 - Correlation ID
 
@@ -128,7 +128,7 @@ Recommended tracing fields include:
 
 ## Designing audit-ready processes
 
-Governance workflows to include:
+### Governance workflows to include
 
 - **Approval workflows** for promoting new model versions
 
@@ -142,7 +142,7 @@ Governance workflows to include:
 
 ### Retention policies
 
-Define retention requirements with Legal, Compliance, and Information Security teams.<br>Common patterns:
+#### Define retention requirements with Legal, Compliance, and Information Security teams.<br>Common patterns
 
 - 90 days for low-risk workloads
 
@@ -156,4 +156,4 @@ Define retention requirements with Legal, Compliance, and Information Security t
 
 - [Tracing a generative AI app](/training/modules/tracing-generative-ai-app/)
 
-- [Enable Azure AI Foundry diagnostics](/training/modules/azure-ai-foundry-secure-environment/enable-foundry-diagnostics)
+- [Enable Azure AI Foundry diagnostics](/training/modules/azure-ai-foundry-secure-environment/enable-foundry-diagnostics)