Identity & Access
Review excessive privileges, role relationships, service identities, federation and access paths.
Assess and harden AWS, Microsoft Azure, Google Cloud and Kubernetes environments against excessive privileges, exposed resources, insecure network paths, weak logging, secrets exposure and configuration drift.
A secure cloud environment depends on how identity, networking, workloads, data, secrets and monitoring interact. Our assessment looks across those layers rather than treating configuration checks in isolation.
Review excessive privileges, role relationships, service identities, federation and access paths.
Identify publicly reachable storage, services, management interfaces and unintentionally exposed resources.
Examine segmentation, security groups, routes, ingress, egress and trust relationships between cloud components.
Assess audit trails, centralized visibility, alerting coverage and the ability to investigate security-relevant activity.
Review secret handling, key management, encryption controls and opportunities for unintended data exposure.
Identify deviations from intended security configurations and controls across cloud resources and environments.
Cloud weaknesses rarely exist in isolation. A permissive identity policy can become more serious when paired with an exposed workload, weak network segmentation or missing monitoring.
The assessment can be tailored to your environment, architecture and objectives, with focus across the security domains that matter to your cloud deployment.
Examine roles, permissions, trust relationships, service accounts, federation and excessive access.
Review network boundaries, segmentation, routes, ingress, egress and security controls between services.
Assess compute instances, containers, orchestration and service configurations for avoidable exposure.
Review storage exposure, data access paths, encryption, retention considerations and sensitive information handling.
Examine secret storage, key usage, access controls and opportunities for credentials or sensitive material exposure.
Assess audit logging, visibility, monitoring and the availability of useful evidence for security investigation.
Identify insecure defaults, configuration gaps and deviations from intended security controls.
Review the security posture of services and dependencies that form the broader cloud architecture.
Map relevant security observations to organizational requirements and applicable control objectives.
A structured assessment helps separate isolated configuration findings from risks created by the way cloud components interact.
Understand accounts, subscriptions, projects, regions, workloads and critical services.
Trace trust boundaries, data flows, identities and network relationships.
Examine configurations, access controls, exposure and security-relevant settings.
Validate meaningful findings and understand their practical impact and attack paths.
Document evidence, affected resources, risk context and practical remediation.
Revisit addressed findings where required and verify the intended security improvement.
Cloud assessments are more useful when technical observations are connected to affected resources, exposure, privilege relationships and remediation priorities.
A concise view of the cloud security posture, significant observations and remediation themes.
Detailed findings with affected resources, technical evidence, risk context and observations.
Findings organized to help teams understand urgency, exposure and remediation priorities.
Practical recommendations aligned with the affected cloud controls and architecture.
Validation of addressed findings where a follow-up review is included in the engagement.
Supporting observations and documentation that help teams track security improvements.
Understand the assessment scope, how cloud-specific testing works and what to expect from findings and remediation guidance.
The service can cover AWS, Microsoft Azure, Google Cloud and Kubernetes environments, with the scope tailored to the architecture and objectives of the engagement.
Configuration is one part of the assessment. The review can also consider identity, network relationships, resource exposure, workloads, data protection, logging and interactions between security controls.
Yes. Kubernetes can be considered as part of the workload and container security scope, including relevant cluster, identity, networking and workload security controls.
Findings are documented with evidence, affected resources, risk context and remediation guidance. Where included in scope, addressed findings can subsequently be retested.
Yes. Scope can be defined around the cloud accounts, subscriptions, projects, workloads, services, architecture and security objectives relevant to the engagement.
Bring visibility to identity, network, workloads, data and configuration risks across your cloud environment.
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