Multi-Cloud Security Architecture: Unified Visibility Across AWS, Azure, and GCP

The Multi-Cloud Security Challenge

Organizations increasingly operate across AWS, Azure, and GCP simultaneously. While multi-cloud provides resilience and flexibility, it multiplies the security challenge: each provider has different services, IAM models, networking paradigms, and security tools.

Key Challenges

Fragmented Visibility

Each cloud has its own logging, monitoring, and alerting systems. Without unified visibility, security gaps emerge between providers.

Inconsistent IAM

• AWS: IAM users, roles, policies with JSON
• Azure: Azure AD, role assignments, managed identities
• GCP: IAM roles, service accounts, workload identity

Different Security Models

• AWS: Shared responsibility varies by service type
• Azure: Azure Defender tiers and Security Center
• GCP: Security Command Center and BeyondCorp

Configuration Sprawl

Maintaining security baselines across three different cloud platforms with thousands of configurable settings.

Building Unified Security

1. Cloud Security Posture Management (CSPM)

Deploy a CSPM that normalizes findings across all providers:

• Unified dashboard for security posture scores
• Cross-cloud compliance mapping (CIS benchmarks per provider)
• Automated remediation with provider-specific playbooks

2. Centralized Logging

Aggregate logs into a single SIEM:

AWS CloudTrail -> S3 -> SIEM
Azure Activity Log -> Event Hub -> SIEM
GCP Audit Log -> Pub/Sub -> SIEM

3. Identity Federation

Use a single identity provider across all clouds:

• Okta/Azure AD as IdP
• SAML/OIDC federation to each cloud
• Consistent MFA and access policies

4. Network Security Alignment

Standardize network security policies:

• Consistent segmentation strategy
• Unified firewall rules mapped across VPC/VNet/VPC
• Cross-cloud VPN or dedicated interconnect

5. Unified Compliance

Map compliance requirements once, implement per-provider:

SuperClue Multi-Cloud Security

SuperClue does not connect to cloud provider accounts. It works at the workload level instead: a bootstrap script installs the Linux SOC agent on AWS EC2, Azure VMs, and GCE instances, and the DAST scanner tests whatever you expose to the internet.