Threat Detection
Cloud Security Monitoring: AWS, Azure & GCP Complete Guide
ZonForge Security Team · May 27, 2026 · 11 min read
Cloud environments generate thousands of security-relevant events every hour. Knowing which ones matter — and monitoring them effectively across AWS, Azure, and GCP simultaneously — is one of the hardest challenges in modern security operations.
The Multi-Cloud Monitoring Challenge
Each major cloud provider has its own audit logging format, terminology, and coverage gaps. AWS uses CloudTrail for API activity, Azure uses Activity Logs, and GCP uses Cloud Audit Logs — all with different schemas, different retention policies, and different alert mechanisms. Building unified detection across all three is a significant engineering challenge.
What to Monitor in AWS
- CloudTrail: All API calls — especially IAM changes, S3 bucket policy modifications, security group changes, and Lambda deployments
- GuardDuty findings: AWS's native threat detection — EC2 communications with threat intel, credential exfiltration, unusual API patterns
- S3 access logs: Data exfiltration attempts, unusual cross-account access, public access grants
- IAM activity: New admin users, policy changes, access key creation, root account usage
What to Monitor in Azure
- Azure Activity Log: Resource modifications, RBAC changes, resource deletions, ARM template deployments
- Azure AD / Entra ID: Sign-in logs, conditional access policy changes, MFA events, guest access grants
- Microsoft Defender alerts: High-severity security alerts from Azure's native detection
- Azure Key Vault: Secret access, key rotation events, vault policy changes
What to Monitor in GCP
- Cloud Audit Logs: Admin Activity and Data Access logs — IAM changes, service account key creation, firewall rule modifications
- Cloud Security Command Center: Security findings, vulnerability assessments, misconfigurations
- Google Workspace: If used alongside GCP, login events, Drive sharing, admin console changes
Building Unified Multi-Cloud Detection
The most effective approach is using an AI SOC platform that natively ingests all three providers' logs into a unified data model — enabling cross-cloud correlation that individual cloud-native tools can't provide. When an IAM user is created in AWS, a new admin account in Azure AD, and an unusual GCP service account key is generated in the same 30-minute window, that's a coordinated attack pattern that only cross-cloud correlation surfaces.
See ZonForge in Action
Book a 30-minute demo and see AI-powered threat detection live in your real environment.