Guide · 3 articles
Cloud Security for Modern Infrastructure: Best Practices
Cloud security encompasses the policies, controls, technologies, and practices that protect cloud-based infrastructure, applications, and data across AWS, Azure, and GCP. It addresses shared responsibility, identity management, configuration security, and continuous compliance monitoring.
Andreas Johansson · Chief Executive Officer
Senior IT management leader with 25 years of experience in Cloud, Security, and Datacenter infrastructure.
Why Cloud Security Is Different
Cloud security fundamentally differs from traditional on-premise security. In cloud environments, infrastructure is code, perimeters are fluid, and the attack surface changes with every deployment. The shared responsibility model means your cloud provider secures the infrastructure, but you are responsible for securing everything you build on top of it — and this is where most breaches happen.
The scale of the challenge is significant. Misconfigurations, overly permissive IAM policies, exposed storage buckets, and unpatched workloads are the reality of cloud security, and they demand a fundamentally different approach than securing a data center.
Modern engineering teams — DevOps, SRE, platform engineering — are often the first line of cloud security defense. Security must integrate into their workflows, not block them. This guide covers the practices, tools, and strategies that make cloud security work at the speed of deployment.
Cloud Security Architecture Principles
Zero trust. Assume every request is potentially malicious regardless of origin. Verify identity, validate authorization, encrypt data, and log everything. In cloud environments where traditional network perimeters don't exist, zero trust isn't aspirational — it's essential.
Least privilege. Every identity — human user, service account, application role — should have only the minimum permissions required. AWS and Azure both provide tools for analyzing and reducing excessive permissions.
Defense in depth. Layer security controls so that no single failure creates a breach. Network segmentation, encryption, access controls, monitoring, and incident response each catch what the previous layer missed.
Shift left. Integrate security into the development pipeline — scanning infrastructure-as-code templates, container images, and application dependencies before deployment rather than after.
Automate everything. Manual security processes don't scale in cloud environments where infrastructure changes with every git push. Automate compliance checks, vulnerability scanning, configuration validation, and incident response.
Cloud Misconfigurations: The Leading Threat
Cloud misconfigurations are responsible for more breaches than any other cloud threat vector. Common examples include:
Publicly accessible storage. S3 buckets, Azure Blob containers, and GCS objects exposed to the internet have caused some of the largest data breaches in history. Automated scanning and preventive policies are essential.
Overly permissive IAM. Policies granting full administrative access, wildcard permissions, or cross-account access without constraints create privilege escalation paths that attackers exploit.
Disabled logging and monitoring. CloudTrail, Azure Activity Logs, and GCP Audit Logs are sometimes disabled to reduce costs — eliminating the visibility needed to detect attacks.
Default security group rules. Allowing unrestricted inbound traffic (0.0.0.0/0) to management ports (SSH, RDP) is one of the most common — and most dangerous — misconfigurations.
Kubernetes Security
As container orchestration becomes the standard for deploying cloud workloads, Kubernetes security introduces its own challenge set: pod security policies, network policies, RBAC configuration, secrets management, image scanning, and runtime security monitoring.
Cloud Security Posture Management (CSPM)
CSPM provides continuous assessment of cloud infrastructure against security best practices and compliance frameworks. CSPM tools automatically discover cloud resources, evaluate configurations, identify risks, and track remediation — providing the always-on visibility that manual audits cannot achieve.
Multi-Cloud Security
Organizations increasingly operate across AWS, Azure, and GCP simultaneously. Securing multi-cloud environments requires unified visibility, consistent policy enforcement, and centralized monitoring across providers — each with their own security models, tools, and terminology.
Cloud Vulnerability Scanning
Cloud vulnerability scanning tools must understand cloud-native services, API-level configurations, and ephemeral infrastructure. Traditional network scanners designed for static data centers miss the majority of cloud security issues.
Getting Started
Building a cloud security program doesn't require a massive investment. Start here:
- Audit IAM permissions — Identify and remediate overly permissive policies across all accounts.
- Enable logging everywhere — CloudTrail, Azure Activity Logs, GCP Audit Logs — don't leave blind spots.
- Scan for misconfigurations — Deploy CSPM or cloud-native tools to find and fix configuration drift.
- Secure your CI/CD pipeline — Scan IaC templates, container images, and dependencies before deployment.
- Monitor continuously — Point-in-time audits miss what continuous monitoring catches.
How SeqOps fits
SeqOps connects to AWS, Azure and Google Cloud with read-only access, checks your configuration against security benchmarks, and shows every misconfiguration in one prioritised view with guidance on how to fix it.