Cloud controls your teams can maintain
Elatre helps secure AWS, Azure and Google Cloud environments through clear identity, network and workload controls. We assess the current setup, implement agreed changes and hand over tested configurations. Start with the systems, data and access decisions that matter to your business.
Elatre provides cloud security services for enterprise workloads running on AWS, Microsoft Azure and Google Cloud. Elatre connects architecture review with identity, network, workload and data protection changes that your platform and application teams can operate.
Cloud security becomes difficult when the estate grows faster than its operating model. Teams create accounts, projects and subscriptions for useful reasons, but permissions, network boundaries and ownership can become inconsistent. A security tool may identify hundreds of observations without explaining which team can correct them or whether a proposed change will interrupt a business service.
We start with the workloads and the decisions around them. Which systems face customers? Which identities can change production? Where does sensitive data move? Who approves an exception? Answering those questions produces a focused improvement plan. We then implement the selected controls through the appropriate platform, application or infrastructure workflow and test the effect of each material change.
Our cloud security consulting covers new foundations and established environments. We can help a team prepare a secure landing zone, correct inherited configuration or introduce consistent controls across multiple clouds. The scope identifies the resources, providers and business requirements involved. Your team gets a documented configuration and ownership model, with a clear distinction between completed work and the backlog that remains.
If your main requirement is moving workloads between environments, our cloud implementation and migration services can own that delivery. This service focuses on the security architecture and controls supporting the workloads, whether they are new, migrated or already serving customers.
Elatre brings a global network of 5,870+ specialists, including 350+ senior AI and software solution architects with 5+ years of production engineering experience, 520+ growth and marketing engineers and 5,000+ business protocol specialists. Across client engagements, Elatre governs $250M+ in monthly technology, cloud compute and performance media budgets. New York, Houston and San Francisco offices support client coordination. Your engagement receives a defined delivery team and named responsibilities. About Elatre
Elatre organizes cloud security implementation around the boundaries that protect enterprise systems and data. Elatre reviews workforce identities, service identities, network paths and workload configuration together so improvements address the complete application path.
We review how people, workloads and external integrations receive access. The scope can include role design, privileged administration, service identities, federation and account lifecycle requirements. We map permissions to actual responsibilities and identify ownership for exceptions. Proposed changes are tested against the workflows that rely on them so a narrower permission model remains usable for the teams running the service.
We map the required communication paths between users, applications, databases and connected systems. We then review public exposure, private connectivity and segmentation against that intended design. Each proposed restriction has an application owner and a validation plan. This makes it easier to remove unnecessary access while preserving the paths needed for deployments, support, integrations and recovery.
We assess the selected virtual machines, containers, serverless functions and managed services in their operational context. Work includes configuration baselines, administrative boundaries, image or dependency handling and deployment controls where relevant. We distinguish controls inherited from a managed service from settings your team must configure. The handover records how those settings are maintained and checked after the initial implementation.
We review storage access, encryption configuration, secret handling and the application paths that use protected information. The design identifies which teams own keys, credentials and data access decisions. We also consider logging and support workflows that could expose sensitive values. Controls are selected for the data and operating requirements rather than applied as a uniform checklist across unrelated systems.
We identify the events and configuration records needed to understand access and important changes. The work includes log destinations, access, retention requirements and operational ownership within the agreed scope. We test that selected events are available to the intended team. Continuous alert monitoring and incident response can then be assigned under a separate operational service agreement.
Elatre applies cloud security architecture to the resource and identity model of each cloud provider. Elatre maintains common control objectives across AWS, Azure and Google Cloud while documenting the platform-specific implementation and operating responsibilities.
Multi-cloud consistency does not mean using identical configuration everywhere. Each platform has its own hierarchy, identity controls and service behavior. We define the business objective first, such as limiting production administration or controlling data access. We then document the provider-specific implementation and the evidence needed to show that it works. This creates a reviewable common baseline without hiding important differences.
Our architecture reviews use the AWS Well-Architected Security Pillar, Azure Well-Architected security guidance and Google Cloud security framework as platform references. The engagement converts relevant guidance into decisions for your actual resources and responsibilities. We record why a control was selected, how it is configured and what your team must maintain.
| Control objective | AWS scope examples | Azure scope examples | Google Cloud scope examples |
|---|---|---|---|
Control resource organization | Account structure and governance boundaries. | Management groups, subscriptions and resource ownership. | Organization, folder and project boundaries. |
Manage access | Workforce and workload permissions across selected services. | Microsoft Entra identities, workload access and Azure roles. | Workforce and service identities with project and resource permissions. |
Limit network exposure | VPC paths, service access and public resource exposure. | Virtual network paths, service access and public endpoints. | VPC paths, service access and public endpoints. |
Protect data and secrets | Storage access, key ownership and application secret handling. | Storage access, key ownership and application secret handling. | Storage access, key ownership and application secret handling. |
Support accountable operations | Selected audit events, configuration evidence and handover owners. | Selected audit events, configuration evidence and handover owners. | Selected audit events, configuration evidence and handover owners. |
Elatre delivers cloud security improvements through assessment, design, controlled implementation and operational handover. Elatre agrees acceptance evidence with the teams responsible for enterprise applications so security changes can be reviewed alongside service requirements.
We identify the included accounts, subscriptions, projects, applications and owners. We review existing findings, architecture documents and business requirements before proposing changes. The output separates immediate priorities from longer-term improvements and shows dependencies that may affect delivery. Your team can approve a focused workstream instead of committing to an undefined transformation of the entire cloud estate.
We document the intended identity, network, workload and data controls for the selected scope. Application and platform owners review dependencies, exception needs and operational effects. Each material change has an implementation owner and an acceptance check. Where alternatives exist, we explain the maintenance and service trade-offs so the decision can be recorded before configuration work begins.
We apply approved changes through the agreed delivery process, using versioned configuration where the environment supports it. Testing checks both the security objective and the business workflow that relies on the system. We coordinate release windows, rollback preparation and responsible contacts. Issues discovered during validation return to the delivery plan rather than being hidden by a completed configuration checklist.
We hand over the configuration record, control rationale, validation evidence and outstanding items. The operating team reviews access, exception handling and future change responsibilities. We confirm who maintains each control and how new resources enter the same process. Ongoing support can be scoped separately where your team needs continued engineering ownership after the initial implementation.
Elatre extends cloud security controls to enterprise AI, analytics and integration workloads that handle company information. Elatre reviews data access, model connectivity and service identities as part of the same application boundary, rather than treating AI as an isolated tool.
An AI workload can involve a user application, retrieval service, data store, model endpoint and several connected business systems. Security decisions need to follow that path. We identify which service can read which data, how access is delegated and where information appears in logs or support tools. The design also records the systems responsible for enforcing user permissions.
We review connectivity and data handling requirements with the application owners. A private connection, an encrypted store and a well-configured model endpoint solve different problems. We establish the intended control at each boundary and test the selected workflows. Your team receives a clear explanation of how those controls work together and which assumptions must remain true as the application changes.
Our enterprise AI integration services can implement the business-system connections, while the cloud security scope owns the relevant platform and access controls. For MCP servers and delegated AI tool access, MCP security and OAuth engineering addresses the protocol-specific requirements. The responsibilities remain connected through a shared architecture and change plan.
For analytics platforms, we coordinate with data owners on storage permissions, service identities and access to derived datasets. A reporting or machine learning pipeline should not silently acquire broader access because it runs outside the source application. We document the intended access model and the review process for new datasets, users and downstream consumers.
Elatre builds cloud security implementation around the teams that will maintain the environment after release. Elatre defines how controls enter deployment workflows, how exceptions are reviewed and how ownership stays visible as the cloud estate changes.
Where appropriate, we place approved configuration in your existing infrastructure and delivery repositories. Changes can then follow the same review and release process as other platform work. We document the expected checks and the owner of each control. Our DevOps and platform engineering services can support broader delivery automation when that is part of the requirement.
Some workloads need temporary or specific exceptions to a standard control. We help establish a record showing the reason, business owner, compensating measures and review date. The aim is to make exceptions visible and manageable. Future teams can see why a decision was made instead of copying a setting whose original purpose has been lost.
We agree which configuration records and validation results your security and procurement teams need. Evidence can include the approved design, access ownership, control settings and outcomes from agreed tests. We organize these around the actual implementation. This gives reviewers a usable view of the environment and avoids treating a generic policy document as evidence that a technical control is operating.
We specify the logging and event ownership needed for the implemented controls. If your team needs continuous monitoring, investigation and response, our managed cybersecurity services can provide a separately defined operating scope. Cloud security implementation prepares and improves the environment; monitoring responsibilities, response authority and coverage are agreed explicitly.
Elatre scopes cloud security consulting around the environments, control gaps and implementation work your organization needs. Elatre separates assessment, configuration engineering and operational monitoring so the proposal reflects a clear set of responsibilities and outputs.
The main cost drivers are the number and complexity of environments, identity relationships, workload types, network dependencies and the depth of implementation required. A focused review of one application differs from establishing a consistent baseline across an acquired cloud estate. Existing documentation, ownership and infrastructure code also affect how quickly the team can move from review to controlled changes.
We agree whether the engagement produces recommendations, implements selected changes or owns a wider improvement program. We also define testing, documentation and handover requirements. If the estate changes during delivery, the scope is reviewed with the responsible owners. This gives procurement and engineering a common understanding of what is included and what requires an additional workstream.
| Starting requirement | Cloud security deliverable | Related responsibility |
|---|---|---|
Understand the current security posture | Scoped assessment with prioritized control gaps and owners. | Application and platform owners confirm business dependencies. |
Correct identity or network configuration | Approved design, implemented settings and validation evidence. | Your change process controls release and operational acceptance. |
Prepare a new cloud foundation | Security requirements and configured controls for the selected foundation. | Cloud implementation owns broader migration or platform delivery. |
Secure an AI or data workload | Access, connectivity and data-control decisions across the workload path. | Application and data teams maintain the business logic and permissions. |
Maintain controls through deployment | Versioned configuration, review checks and exception ownership. | Platform engineering operates the delivery workflow. |
Provide continuous detection and response | Logging and control context for the agreed handoff. | A separately scoped SOC or MDR service owns ongoing monitoring. |
Elatre coordinates cloud security services through New York, Houston and San Francisco for clients across the United States and international markets. Elatre assigns named delivery responsibilities and connects security architecture with the engineers who implement and maintain the controls.
Our global network includes 5,870+ specialists, comprising 350+ senior AI and software solution architects, 520+ growth and marketing engineers and 5,000+ business protocol specialists. Across client engagements, Elatre governs $250M+ in monthly technology, cloud compute and performance media budgets. Your project receives the roles required for its agreed scope, with clear technical review and decision ownership.
We work with cloud teams, security leaders, application owners and enterprise procurement. Start by sharing the cloud providers in use, the systems that need attention and the reason for the project. Existing findings and architecture documents help focus the discussion. We then define the first workstream, required access, delivery sequence and evidence that will demonstrate completion.
For clients in the United Kingdom, Canada, France, Switzerland and Germany, we include relevant operational and data requirements in the design discussion. The project records where workloads and data are located, who can administer them and which service dependencies matter. Contractual obligations are translated into an agreed implementation scope with your responsible business and security teams.
Broader policies and AI oversight can be coordinated with AI ethics and governance consulting. This keeps the technical controls connected to the decisions your organization has made about acceptable use, access and accountability. Contact Elatre with your current environment and the improvement you need to make; we will shape a practical assessment and implementation plan.
Elatre answers cloud security questions around enterprise identity, network and workload implementation. Elatre confirms provider scope, operational responsibilities and acceptance criteria before configuration changes begin.
The scope can include cloud security assessment, architecture, IAM, network exposure, workload configuration, data protection and implementation of agreed controls. We document the included environments and deliverables before work begins. Your team receives validation evidence and an operating handover. Continuous monitoring and incident response are separately defined when required.
Yes. We can assess and improve selected environments across AWS, Microsoft Azure and Google Cloud. We define shared control objectives, then document the provider-specific implementation and ownership. The proposal identifies the included accounts, subscriptions, projects and workloads so coverage remains clear across a multi-cloud estate.
We can provide either a scoped assessment or assessment followed by implementation. The proposal states which controls we will configure, how changes are approved and what validation is included. Your application and platform teams participate in acceptance so security improvements are assessed alongside the workflows the systems must support.
No. Cloud security consulting focuses on the architecture and configuration of identities, networks, workloads and data controls. SOC and MDR services focus on ongoing monitoring, investigation and response within an agreed operating model. We can coordinate both, but the deliverables, response authority and ongoing responsibilities are defined separately.
Yes. We review the cloud access, data paths, service identities and connectivity supporting AI workloads. The scope can include model endpoints, retrieval systems, data stores and integrations. Protocol-specific MCP review and application integration engineering can be coordinated as related workstreams, with clear ownership for each boundary.
Share your cloud providers, environment inventory, main workloads, existing findings and project objective. Architecture diagrams, identity ownership and infrastructure repositories help us understand the implementation effort. We then agree the assessment depth, selected changes, testing, documentation and handover before proposing delivery and pricing.
Elatre connects cloud security services with the related engineering and business services below. Each engagement can define the interfaces and responsibilities between workstreams.
Coordinate security controls with migration and platform delivery.
Connect approved AI workflows to company systems and data.
Define delegated access for connected AI tools.
Maintain controls through reviewed deployment workflows.
Add defined monitoring and response operations where needed.
Connect workload controls with enterprise policy and accountability.