Azure Audit Log Detection
Learn how to detect audit logs in Azure environments. Follow step-by-step guidance for SOC 2 compliance.
Why It Matters
The core goal is to identify and monitor all audit log activities across your Azure environment, so you can detect unauthorized access patterns, privilege escalations, and suspicious activities before they result in security incidents. Comprehensive audit log detection in Azure is essential for organizations subject to SOC 2 requirements, as it provides the audit trail needed to demonstrate proper access controls and monitoring capabilities.
A thorough audit log detection strategy delivers real-time visibility into user activities, laying the foundation for automated threat detection and ongoing compliance monitoring.
Prerequisites
Permissions & Roles
- Security Administrator or Global Administrator
- Log Analytics Contributor role
- Microsoft Sentinel Contributor access
External Tools
- Azure CLI or PowerShell
- Cyera DSPM account
- API credentials
Prior Setup
- Log Analytics workspace configured
- Azure Activity Log enabled
- Diagnostic settings configured
- Network security groups configured
Introducing Cyera
Cyera is a modern Data Security Posture Management (DSPM) platform that discovers, classifies, and continuously monitors your sensitive data across cloud services. By leveraging AI-powered anomaly detection and behavioral analysis, Cyera automatically identifies suspicious patterns in Azure audit logs, correlating access events with data sensitivity to detect potential insider threats and unauthorized data access in real time.
Step-by-Step Guide
Enable comprehensive logging across all Azure services by configuring diagnostic settings to stream Activity Logs, Resource Logs, and Azure AD Audit Logs to your Log Analytics workspace.
In the Cyera portal, navigate to Integrations → Cloud Security → Add Azure. Provide your tenant ID and configure the connector to ingest audit logs from Log Analytics workspace, enabling AI-powered detection of anomalous access patterns.
Configure custom KQL queries in Azure Sentinel or Cyera to detect suspicious activities such as privilege escalations, unusual login patterns, and bulk data access. Set up real-time alerts for high-risk events.
Review the initial detection results, analyze false positive rates, and fine-tune detection thresholds. Establish baseline behavior patterns and configure automated response playbooks for common threat scenarios.
Architecture & Workflow
Azure Activity Log
Source of subscription-level audit events
Log Analytics Workspace
Centralized log collection and storage
Cyera AI Engine
Applies behavioral analysis and anomaly detection
SIEM Integration
Real-time alerting and incident response
Data Flow Summary
Best Practices & Tips
Log Retention & Storage
- Configure appropriate retention periods for compliance
- Use hot, warm, and cold storage tiers efficiently
- Implement log archiving for long-term storage
Detection Rule Optimization
- Establish behavioral baselines for users
- Use time-window analysis for anomaly detection
- Correlate events across multiple log sources
Common Pitfalls
- Overlooking guest user activities
- Insufficient log retention for investigations
- Ignoring service principal audit events