What is Security, Privacy and Compliance principles of Well Architected framework

The Security, Privacy and Compliance pillar in the Google Cloud Well-Architected Framework provides recommendations to help you design, deploy, and operate cloud workloads that meet your requirements for security, privacy, and compliance.

This document is designed to offer valuable insights and meet the needs of a range of security professionals and engineers. The following table describes the intended audiences for this document:

Core principles

The recommendations in this pillar are grouped within the following core principles of security. Every principle in this pillar is important. Depending on the requirements of your organization and workload, you might choose to prioritize certain principles.

Implement security by design: Integrate cloud security and network security considerations starting from the initial design phase of your applications and infrastructure. Google Cloud provides architecture blueprints and recommendations to help you apply this principle.

Implement zero trust: Use a never trust, always verify approach, where access to resources is granted based on continuous verification of trust. Google Cloud supports this principle through products like Chrome Enterprise Premium and Identity-Aware Proxy (IAP).

Implement shift-left security: Implement security controls early in the software development lifecycle. Avoid security defects before system changes are made. Detect and fix security bugs early, fast, and reliably after the system changes are committed. Google Cloud supports this principle through products like Cloud Build, Binary Authorization, and Artifact Registry.

Implement preemptive cyber defense: Adopt a proactive approach to security by implementing robust fundamental measures like threat intelligence. This approach helps you build a foundation for more effective threat detection and response. Google Cloud's approach to layered security controls aligns with this principle.

Use AI securely and responsibly: Develop and deploy AI systems in a responsible and secure manner. The recommendations for this principle are aligned with guidance in the AI and ML perspective of the Well-Architected Framework and in Google's Secure AI Framework (SAIF).

Use AI for security: Use AI capabilities to improve your existing security systems and processes through Gemini in Security and overall platform-security capabilities. Use AI as a tool to increase the automation of remedial work and ensure security hygiene to make other systems more secure.

Meet regulatory, compliance, and privacy needs: Adhere to industry-specific regulations, compliance standards, and privacy requirements. Google Cloud helps you meet these obligations through products like Assured Workloads, Organization Policy Service, and our compliance resource center.

References:

https://cloud.google.com/architecture/framework/security