Cloud Security

Secures workloads running in AWS Azure and Google Cloud so misconfiguration exposed data and over-permissive access stop being the default path of least resistance. The outcome is a cloud estate where risky changes get caught before production and posture stays measurable over time.

Everything included under this practice line.

01

Cloud posture management: CSPM baseline against CIS benchmarks drift detection and remediation playbooks

02

Workload protection: container runtime scanning serverless function analysis and host agent deployment across accounts

03

Landing zone hardening: account structure guardrails service control policies and centralized logging

04

Data protection: bucket exposure scanning KMS key hygiene and secrets discovery across managed services

05

Network security: VPC segmentation egress controls private endpoints and cloud-native firewall policy

06

Kubernetes security: admission control pod security standards and image signing across EKS AKS and GKE

07

Identity posture: role right-sizing cross-account trust review and privileged access reduction

08

Threat detection tuning: GuardDuty Defender for Cloud and Security Command Center rule calibration

The stack we reach for.

AWS Security HubMicrosoft Defender for CloudGoogle Security Command CenterWizPrisma CloudHashiCorp VaultTerraform with tfsec and CheckovFalcoKyvernoAWS Config

What the business gets, measured.

  • Fewer exposed assets and misconfigurations reaching production environments
  • Lower blast radius when a single credential or workload is compromised
  • Audit-ready evidence for SOC 2 ISO 27001 and PCI cloud scope
  • Reduced cloud spend from unused privileges orphaned resources and duplicate security tooling
  • Faster investigation because logs findings and identity data live in one place

The specialists behind this practice line.

Cloud security engineers lead the posture and workload work paired with a cloud platform specialist who owns the landing zone and a Kubernetes security specialist when container workloads are in scope. Detection engineers tune the native cloud threat services and route findings into the existing SOC workflow rather than standing up parallel tooling.

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