Infrastructure Security in Cloud Computing: A Singapore-First, Multicloud Playbook

Infrastructure Security in Cloud Computing A Singapore-First, Multicloud Playbook

In one paragraph, here is the answer you are looking for. Infrastructure security in cloud computing is the disciplined design and operation of controls that protect identities, networks, data, and workloads across AWS, Azure, and Google Cloud, proved with measurable evidence. 

In Singapore, the winning approach is to combine a multicloud control map, infrastructure-as-code guardrails, threat-informed detections, and repeatable incident response so you can demonstrate compliance and reduce risk without slowing delivery. This guide walks you through that end-to-end, with practical steps and examples, so let us read through it together until the end.

Updated: 10 Nov 2025 • Aligned to: AWS Well-Architected Security Pillar, Azure infrastructure security fundamentals, Google Cloud security best practices, CIS Benchmarks, NIST CSF, NIST 800-53, NIST SP 800-144
Author: , Cloud Security Architect (CISSP, CCSP, AWS Pro, AZ-500, GCP Professional Cloud Architect)
Methodology: Guidance validated with IaC policies, test tenants, and threat-informed simulations. Peer reviewed by a second SME.

Executive Summary: What Singapore Stakeholders Need

If you run workloads in AWS, Azure, or Google Cloud from Singapore, infrastructure security means proving least privilege, private connectivity, end-to-end encryption and key custody, hardened Kubernetes and serverless, and fast incident response with audit-ready evidence. This playbook gives you a multicloud control map, infrastructure-as-code guardrails, threat-informed detections, and runbooks to reduce risk and mean time to recover while supporting national modernisation initiatives highlighted in Singapore’s ongoing government digital transformation.

What Counts as Infrastructure Security in Cloud

Infrastructure security spans IaaS, PaaS, and SaaS. It includes identity and access, network segmentation and private access, encryption and secrets, logging and telemetry, vulnerability and posture management, change management from code, and backup and disaster recovery. Providers secure the cloud, customers secure what is in the cloud, meaning permissions, configurations, keys, workloads, and data. To prevent scope confusion, align stakeholders with a plain-English explainer on the difference between cloud computing and cloud storage.

The Multicloud Control Map: 8 Controls Every Org Must Prove

A parity view to speed decisions and shorten workshops.

ControlAWSAzureGCP
IAM and Privileged AccessIAM Roles and Policies, IAM Identity Center, Service Control PoliciesEntra ID, RBAC, Privileged Identity Management, Azure PolicyCloud IAM, Org Policies, Workforce Identity
Network Segmentation and Private AccessVPC, PrivateLink, Transit GatewayVirtual Network, Private Link, Virtual WANVPC, Private Service Connect
Encryption and Key ManagementAWS KMS, CloudHSM, Custom Key StoreAzure Key Vault, Managed HSMCloud KMS, Cloud HSM
Secrets and ConfigurationSecrets Manager, SSM Parameter StoreKey Vault Secrets and CertificatesSecret Manager, Config Controller
Logging and TelemetryCloudTrail, CloudWatch, GuardDuty, Security HubActivity and Diagnostic Logs, Defender for Cloud, SentinelCloud Logging, Security Command Center, Cloud IDS
Vulnerability and PostureInspector, ECR scan, AWS Config, Security HubDefender for Cloud, Microsoft Defender for Endpoint, Azure PolicyContainer and OS scans, SCC posture, Config Validator
Change Management from CodeCloudFormation or Terraform, CodePipeline, OPA or ConftestBicep or Terraform, Azure DevOps or GitHub, Azure Policy as CodeTerraform or Deployment Manager, Cloud Build, Policy Controller
Backup and DRAWS Backup, cross Region, Pilot Light or Hot StandbyAzure Backup and Site RecoveryBackup and DR Service, multi Region replication

When you brief business continuity stakeholders, anchor expectations with Singapore-focused guidance on backup and disaster recovery. When evaluating locality and resilience tiers, align on a baseline with concise explainers for Tier 3 data centers, Tier 4 data centers, and Tier 5 data centers, and consider the practical tradeoffs in the context of Tier 2 data centers in Southeast Asia.

Build It Right from Code: IaC Guardrails and Drift Prevention

Misconfigurations happen where code meets cloud. Use a layered approach:

  • Opinionated repository structure with reusable modules, environment folders, and tfvars per environment
  • Policy as code with OPA or Conftest to block risky merges before deployment
  • Pre commit hooks and CI gates that run security tests and policy checks on every pull request
  • Artifact signing and provenance so only trusted infrastructure reaches production

Policy example that denies public S3 buckets:

package policy.s3

deny[msg] {

  input.resource.type == “aws_s3_bucket”

  input.resource.config.acl == “public-read”

  msg := “Public S3 bucket ACL is not allowed”

}

This is a good point to align on delivery models. For stakeholder clarity, contrast Infrastructure as Code vs. Infrastructure as a Service and why the advantages of IaaS remain strong when governed by guardrails. Hybrid estates are common in Singapore, so if you are bridging on premises with cloud, review patterns for hybrid cloud providers in Singapore and options for an on premise private cloud.

Kubernetes and Serverless: Hardening That Holds

For Kubernetes on EKS, AKS, or GKE:

  • Enforce Pod Security restricted, remove privileged containers, and block hostPath
  • Apply NetworkPolicies to restrict east west traffic
  • Use image signing and SBOMs, scan artifacts in the pipeline, and fail builds on critical CVEs
  • Rotate and externalize secrets, adopt workload identity where available
  • Harden nodes and separate cluster admin identities from workload identities

For serverless:

  • Minimise permissions per function and link only the services required
  • Constrain egress with VPC connectors or private endpoints and monitor unusual traffic
  • Tag logs with correlation IDs and centralise them for detection

If you are modernising away from a legacy hypervisor stack, Singapore teams often consider a platform shift. A pragmatic starting point is this overview of VMware alternatives framed for migration to container platforms.

Threat Informed Defense: Map Controls to ATT&CK for Cloud and Detections

Checklist security is not enough. Prove detectability against realistic attack paths.

Examples

  • Initial Access and Credential Abuse
    • AWS, alert on ConsoleLogin from a new ASN and impossible travel scenarios using CloudTrail and GuardDuty

Azure Sentinel KQL:

SigninLogs

| where ResultType == 0

| summarize makeset(Location) by UserPrincipalName, bin(TimeGenerated, 1h)

| where array_length(makeset_Location) > 1

  • GCP Logging filter for sensitive admin actions by new principals
  • Persistence and Over Privileged Roles
    • Detect policy attachments to high risk roles, baseline allowed principals, and evaluate weekly diffs
  • Exfiltration and Public Storage or Egress Spikes

AWS Logs Insights example:

fields @timestamp, @message

| filter eventName=”PutBucketAcl” and requestParameters.x_amz_acl=”public-read”

| sort @timestamp desc

  • In Azure, look for Set AzStorageContainerAcl enabling public access

Incident Response Runbooks: Alert to Containment to Lessons

Standardise runbooks for top incidents:

  • Exposed access key. Auto revoke and rotate, search last 24 hours usage, quarantine impacted roles, open forensics ticket
  • Public bucket or resource. Block policy, snapshot artifacts, notify data owners, rotate tokens, update IaC tests
  • Suspicious console login. Elevate MFA requirements, isolate session, kick off UEBA review, enforce password reset
  • Kubernetes image with critical CVE. Block deploy, rebuild image, verify SBOM, redeploy, and run smoke tests

Close every incident with evidence updates in your control matrix and implement a regression test in CI. For recovery, continuous backups and immutable stores delivered as part of managed backup services help reduce risk, and 24 by 7 readiness is realistic with managed IT services.

Data Protection, Egress Control and Key Management Patterns

  • Data perimeter. Prefer private access into storage and databases, deny public endpoints
  • Tokenisation and masking for lower environments and non production use
  • KMS or HSM. Define a key hierarchy, rotation policy, and break glass access with monitoring
  • Egress control. Route traffic through inspection, restrict destinations, and log DNS for forensics

In regulated contexts such as banking, align architectural choices with sector expectations. A useful primer is this overview of cloud banking solutions in Singapore and Southeast Asia. Coordinate with application owners early. Many teams start by mapping core enterprise applications to encryption, identity, and egress patterns.

Compliance Traceability Without Slowing Delivery

Auditors want evidence, not promises. Embed traceability into the delivery pipeline:

  • Tag IaC pull requests with control IDs such as CSF and CIS
  • Automatically attach pipeline logs, policy results, and artifact hashes to change records
  • Export posture findings weekly into a Control to Evidence Matrix

Brokering multiple vendors is common. A cloud service broker approach simplifies control standardisation and reporting. For resilience proofs, align service levels with IT DR as a Service.

Singapore First Considerations: Latency, Residency, Connectivity and Resilience

If you are exploring compute location choices, this comparison of Singapore cloud VPS for US buyers offers a useful lens on speed, cost, and compliance from Southeast Asia.

A Reference Landing Zone You Can Copy

Design goals are isolation by environment, centralised logging, codified guardrails, least privilege, and cost control.

  • Org, Account, or Tenant structure with shared services, logging, security, and workload accounts
  • Guardrails using SCPs, Azure Policy, or Org Policies to enforce tagging, deny public storage, and require customer managed keys
  • Centralised logging that aggregates CloudTrail, Activity Logs, and Cloud Audit into immutable stores with retention
  • Break glass access that is time bound, MFA protected, and fully logged
  • Cost controls with budget alerts and anomaly detection

To accelerate execution, teams often rely on partners for rollout and tuning. If you are considering help, see how enterprise cloud computing engagements and a managed cloud service provider model shoulder day 2 operations, supported by hands on IT implementation services.

Case Snapshot: Regulated SME Modernises Securely in Singapore

A financial services SME moved from a permissive single account design to a multi account landing zone with IaC guardrails and ATT&CK mapped detections. Within eight weeks, public exposure fell to zero, over privileged roles dropped by 92 percent, and mean time to respond shrank from hours to minutes with automated containment. Auditors approved production after reviewing the Control to Evidence Matrix and recovery rehearsals tied to disaster recovery objectives.

Common Pitfalls and Quick Wins

  • Over privileged identities. Apply least privilege, enable PIM or JIT, rotate credentials
  • Public endpoints. Enforce private access, deny public buckets, and control egress by policy
  • No IaC guardrails. Block risky pull requests with OPA or Conftest and expand tests
  • Unverified backup strategy. Test recovery and hash check artifacts, operationalise with managed backup services
  • No posture baseline. Adopt CIS benchmarks and automate weekly posture exports

For leadership clarity, start with a primer on managed vs. cloud services and which you need and the top benefits of managed cloud services, then align expectations with why partnering with a managed cloud services provider matters in 2025.

Where Accrets Fits

If you want a partner to execute the blueprint above, Accrets can implement the landing zone with Terraform and policy as code, wire detections into your SOC, codify incident response runbooks, automate control evidence, and operate the environment as a managed service. When you are ready to talk specifics, you can fill the form for a free consultation with an Accrets Cloud Expert for infrastructure security in cloud computing via our Contact Us page. To understand delivery options, explore cloud infrastructure as a service and our managed cloud service provider approach, and check the solution brochures for packaging details. If you are weighing broader outsourcing models for Singapore, you can also review infrastructure IT outsource service Singapore and the overview page for a managed service provider.

Further Reading

For decision makers and operators in Singapore, helpful next steps include business IT support in Singapore, what is IT outsourcing services, and what is IT infrastructure management services. For sector specific modernisation, see accelerating digital transformation in banking and strategic context across the region in ASEAN digital transformation. If platform strategy is on the table, consider interoperability of inter cloud services and the role of digital transformation service providers in Singapore.

Appendix: Snippets You Can Paste

Azure Sentinel. Detect new admin role assignment

AuditLogs

| where OperationName == “Add member to role”

| where TargetResources contains “Company Administrator”

| project TimeGenerated, InitiatedBy, TargetResources

Terraform. Tagging guardrail that requires env tag

resource “aws_instance” “example” {

  ami           = var.ami

  instance_type = “t3.micro”

  tags = {

    env = var.env

  }

}

Frequently Asked Question About Infrastructure Security in Cloud Computing: A Singapore-First, Multicloud Playbook

What is infrastructure security in cloud computing

It is the set of controls and operating practices that protect identities, networks, data, and workloads in cloud platforms, implemented and evidenced across AWS, Azure, and Google Cloud.

How does the shared responsibility model apply

The provider secures the cloud platform and its underlying infrastructure. You secure configurations, identities, workloads, data, and the way you build and operate them.

What are the fastest first steps for a Singapore based team

Define a minimal landing zone, enforce private access, enable centralized logging, adopt CIS benchmarks, and set policy as code gates in your CI. Add managed backups and a basic incident runbook.

 

How do I secure Kubernetes and serverless in practice

Apply Pod Security restricted, NetworkPolicies, signed images and SBOMs, and least privilege service accounts. For serverless, minimize permissions, enforce private egress, and log with correlation IDs.

 

How do I prove compliance without slowing delivery

Map each control to IaC changes and pipeline evidence, export posture findings weekly to a Control to Evidence Matrix, and store immutable logs with retention aligned to audit needs.

 

What is a reference landing zone and why do I need one

It is a codified baseline of org structure, guardrails, logging, and cost controls. It reduces risk, accelerates delivery, and simplifies audits by making secure defaults repeatable.

 

Which cloud should I pick for Singapore workloads

Choose on service fit, data location, network performance, and team skills. Many organizations run multicloud. If you need guidance across providers, a cloud service broker model can help.

 

Where can I get help implementing this blueprint

If you prefer expert execution, you can fill the form for a free consultation with an Accrets Cloud Expert for infrastructure security in cloud computing via the Contact Us page.

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