Cloud Security & DevSecOps

We architect secure cloud environments, implement workload protection, and embed security into CI/CD pipelines. Our cloud security practice covers IaaS, PaaS, SaaS, and multi-cloud deployments.

Command view Operating model Timeline Deliverables FAQ

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Command view

What this service changes operationally

Glexia cloud security combines architecture review, posture management, workload protection, identity exposure analysis, and DevSecOps enablement across AWS, Azure, GCP, and SaaS environments. The goal is to reduce practical attack paths while preserving the speed that cloud teams need.

3 Control layers

Governance, operational process, and technical controls are reviewed together so recommendations match how cloud teams work.

100% Priority account coverage

Critical subscriptions, projects, accounts, clusters, workloads, and identities are inventoried before risk is scored.

30d Remediation sprint

The first sprint targets toxic combinations of misconfiguration, privilege, exposure, and logging gaps.

Operating model

How Glexia runs the service

The engagement is organized into clear delivery lanes so leaders can see what is being assessed, what is changing, and how progress is measured.

Cloud posture and configuration

We benchmark cloud tenancies against provider best practices, CIS guidance, Well-Architected principles, and client risk requirements, then validate the findings manually where context matters.

AWS, Azure, GCP, Kubernetes, and SaaS posture assessment
Read-only review of network, storage, compute, logging, and encryption settings
Risk-ranked backlog with ownership, severity, and compensating-control notes

Identity and workload protection

Cloud compromise often follows permissions rather than servers, so we map privilege paths across users, service accounts, CI/CD systems, secrets, workloads, and integrations.

IAM, CIEM, service-account, and machine-identity review
Container, Kubernetes, serverless, and workload runtime controls
Secrets, token, OAuth, and automation-role exposure analysis

DevSecOps enablement

We embed practical controls into build and deployment workflows so cloud teams can prevent recurring issues without slowing product delivery or centralizing every decision.

Infrastructure-as-code scanning and policy-as-code guardrails
CI/CD hardening, dependency checks, and deployment approval paths
Cloud incident playbooks and detection engineering for control-plane activity

Delivery path

From kickoff to measurable outcomes

01 Week 0-1

Inventory cloud estate

Confirm account structure, business owners, logging sources, identity providers, workloads, regions, and critical data paths.

02 Week 1-3

Assess posture and attack paths

Review configuration, privilege, exposed services, container controls, secrets, and workload protections.

03 Week 3-5

Prioritize and remediate

Rank findings by exploitability and business impact, then run the first remediation sprint with platform owners.

04 Week 5-8

Operationalize guardrails

Codify policies, detection rules, dashboards, and DevSecOps checks so improvements persist after the assessment.

Deliverables

Artifacts your team can operate from

Cloud security posture reportAttack-path and privilege mapKubernetes and container reviewIaC and CI/CD control recommendationsCloud logging and detection matrixRemediation sprint backlog

Common integrations

AWS Organizations and Security HubAzure Management Groups and DefenderGoogle Cloud SCC and ChronicleKubernetes and container registriesTerraform and GitHub ActionsGitLab CI and Azure DevOpsOkta and Entra IDCSPM, CNAPP, and CIEM platforms

Best fit

Teams moving quickly across multi-cloud, hybrid cloud, Kubernetes, or SaaS-heavy environments
Cloud leaders who need practical remediation rather than generic configuration findings
Security teams modernizing detection, identity, and DevSecOps controls around cloud-native delivery

Service FAQ

Cloud Security & DevSecOps questions leaders ask

Short answers for scope, operating model, and implementation decisions before a formal engagement begins.

Which cloud platforms does Glexia assess?

We assess AWS, Microsoft Azure, Google Cloud, Kubernetes, container platforms, serverless workloads, SaaS control planes, and hybrid environments. Scope can include architecture, configuration, identity, network exposure, logging, workload protections, CI/CD, and infrastructure-as-code practices.

Do you review cloud identity and service accounts?

Yes. Cloud identity is a core part of every assessment. We review users, groups, roles, service accounts, automation identities, OAuth applications, secrets, token lifetimes, privilege escalation paths, and cross-account trust so remediation targets actual compromise paths.

Can Glexia help remediate cloud security findings?

Yes. We can stay engaged through remediation sprints, policy-as-code implementation, CI/CD hardening, logging improvements, detection engineering, and retesting. Recommendations are written for platform owners with enough context to make fixes durable rather than one-off.

Capabilities

Cloud security posture management (CSPM)

Workload protection and runtime security

Infrastructure-as-code security scanning

Container and Kubernetes security

CI/CD pipeline security integration

Cloud access security broker (CASB) deployment

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