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Security Architecture & Engineering – The Big 3 Compared

Read time: 5 mins
Last Updated on March 20, 2025
Published March 11, 2024

AWS, Azure, and Google Cloud all want the same thing — solid security and well‑built systems — but they each have their own “personality” when it comes to how they do it.

  • AWS is like the DIY builder: it gives you every tool imaginable, expects you to read the manual, and then proudly says, “Congrats, you built a fortress… now don’t forget to maintain it.”

  • Azure is the corporate planner: it loves central governance, ties everything neatly into the Microsoft ecosystem, and makes sure your security feels like a well‑run committee meeting.

  • Google Cloud is the minimalist techie: it leans on automation, AI, and simplicity, aiming to make security feel sleek and smart — like a startup that somehow also runs a spaceship.

They all use “Well‑Architected Frameworks” as their blueprints, but the way they build the house is very different.

Same goal (keep the place safe), different vibes (DIY fortress, corporate HOA, or futuristic smart home).

1. Architectural Foundation and Isolation Model

The fundamental structure used for isolation and management differs across the three platforms:

Platform Core Architectural Foundation Isolation & Boundary Centralized Governance Mechanism
AWS AWS Organizations and a mandatory multi-account strategy. Separation relies heavily on AWS accounts and Organizational Units (OUs) to enforce strong logical boundaries between workloads (e.g., prod vs. dev, or different data classifications). Achieved via cross-account delegation, typically through Delegated Administration of key services (like Security Hub and GuardDuty) to a dedicated Security Tooling account.
Azure Focused on enterprise standards enforced across subscriptions and management groups. Resources are secured within virtual perimeters (like Azure Virtual Networks). Isolation leverages Role-Based Access Control (RBAC) applied across scopes. Governance is enforced programmatically using Azure Policy and Azure Blueprints to ensure consistency, policies, permissions, and tags are applied across all subscriptions from the root management group.
Google Cloud Guided by principles emphasizing simplicity and decoupled design. Focuses on managing the resource hierarchy and utilizing context-aware access. Stresses the use of stateless architecture to increase reliability and scalability. Utilizes the Organization Policy Service and Resource Manager to exercise centralized and programmatic control over cloud resources.

2. Primary Security Guiding Principles and Philosophy

While all three uphold principles like least privilege and continuous monitoring, they prioritize different advanced models:

Platform Key Security Differentiator Identity Focus Threat Prevention Focus
AWS Defense-in-Depth and applying security at all layers of the AWS technology stack (edge, VPC, instance, OS, code). Focuses on building a strong identity foundation, enforcing separation of duties, and centralizing identity management, aiming to eliminate reliance on long-term static credentials. Zero Trust Access is listed as an advanced goal within the "Optimized" security maturity phase.
Azure Zero-Trust Architecture (ZTA) is a foundational principle, guiding organizations to assume users are untrusted by default and requiring continuous authentication for every request. Advocates changing the focus from a network-centric approach to an identity-centric perimeter security approach. Identity and access management (IAM) using Microsoft Entra ID (AAD) acts as the gatekeeper. Heavily promotes the integration of security into the development lifecycle via a secure DevOps approach (DevSecOps).
Google Cloud Heavily emphasizes integrating security throughout the process, notably through Implement Shift-Left Security, which means avoiding and fixing security defects early in the software development lifecycle. Explicitly requires the implementation of zero trust, adopting a "never trust, always verify" approach. Supports federation with external identity providers, including Microsoft Entra ID. Prioritizes Preemptive Cyber Defense and the secure and responsible use of AI for security.

3. Service Comparison

The providers offer comparable functional services for threat detection and governance, but the native names and specific aggregation methods differ:

Functional Area AWS Services Azure Services Google Cloud Services
Vulnerability/Posture Management AWS Security Hub (central finding aggregation and compliance checks), Amazon Inspector (continuous scanning for vulnerabilities). Microsoft Defender for Cloud (Cloud-Native Application Protection Platform or CNAPP), Azure Security Center (posture management). Security Command Center (understanding attack surface), Policy Intelligence (improving security configuration).
Centralized Logging & SIEM AWS CloudTrail (organization trail for logging all API activity across accounts), Amazon Detective (investigation and root cause analysis). Microsoft Sentinel (SIEM and SOAR solution for analytics and threat intelligence). Cloud Logging and Cloud Monitoring (collecting and analyzing log data and events).
Network Protection AWS WAF (web application firewall), AWS Network Firewall (managed stateful inspection in VPC). Azure Firewall, Network Security Groups (NSGs), Web Application Firewall (WAF) on Application Gateway. Google Cloud Armor (DoS and web attack protection), Cloud Next Generation Firewall (NGFW).

Cloud Security – The Big 3 Compared - (but now in Plain English)

Same mission (keep the bad guys out), but each cloud has its own personality — the hall monitor, the identity cop, and the sleek futurist.

  • AWS is like the strict hall monitor: it uses account structures to keep everyone in their lane, layering defenses so duties and data don’t get mixed up.

  • Azure is the identity cop: everything revolves around Microsoft Entra ID, with a hardcore Zero‑Trust vibe enforced through policies and blueprints.

  • Google Cloud is the minimalist hacker‑turned‑architect: it keeps things simple, breaks stuff into clean pieces (decoupling), and bakes in smart practices like Zero Trust and Shift‑Left right from the start of development.

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security   AWS   AWS Organizations   Architectural Foundation and Isolation Model   Azure   Azure Policy   Centralized Governance   Defense-in-Depth   DevSecOps   GCP   Google Cloud   IAM   Identity-Centric   Isolation Model   Layered Security   Multi-Account Strategy   OUs   Organizational Units   SecDevOps   SecOps   Secure DevOps   Shift-Left Security   Vulnerability Management   Vulnerability and Posture Management   ZTA   Zero Trust   Zero-Trust Architecture   Network Security   secure engineering   security architecture   2024