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CLOUD SECURITY & ZERO TRUST

Secure Cloud Transformation With Identity at the Center

Modernize your defense with identity-aware, continuously validated security architecture designed for multi-cloud and hybrid scale.

Cloud security designed for implementation—not just assessment.

Cloud Speed Has Outpaced Traditional Security Models

The shift to cloud has fundamentally changed how infrastructure is deployed and accessed, yet security models often rely on legacy concepts that fail in dynamic environments. As sprawl increases, organizations struggle with a lack of consistent architecture, fragmented ownership, and limited visibility into highly distributed assets. Without granular segmentation and context-aware controls, the attack surface expands, leaving security teams without the evidence required to validate their posture. Moving from a reactive assessment to a proactive implementation requires a strategy that bridges the gap between risk identification and operational control.

  • Lack of consistent security architecture across providers
  • Ambiguous ownership of cloud assets and security controls
  • Limited visibility into temporary and shadow cloud resources
  • Insufficient network and workload segmentation
  • Lack of context-aware access controls for users and machines
  • Missing evidence for continuous compliance and validation
  • Disconnected path from assessment findings to technical implementation

Symosis helps leaders move beyond the cloud gap, establishing an identity-aware, continuously validated foundation that secures the transition from migration to operation.

A Security Model for the Entire Cloud Environment

Cloud Security Architecture

Design and validation of cloud security patterns, identity boundaries, and operating models aligned to enterprise risk requirements.

Secure Cloud Landing Zones

Engineering and automated deployment of secure multi-account structures with embedded guardrails, networking, and identity standards.

AWS, Azure, and GCP Security Reviews

Deep-technical configuration and architecture reviews of core cloud provider services to identify control gaps and configuration risks.

Cloud Security Posture Assessments

Comprehensive analysis of cloud visibility, configuration management, and the operating controls required to sustain security at scale.

Zero Trust Architecture

Design of a comprehensive architecture where implicit trust is removed, and every access request is continuously and explicitly validated.

Zero Trust Network Access (ZTNA)

Implementation of identity-aware, context-based access to private applications that replaces traditional VPNs and network-level trust.

Identity-First Access Controls

Engineering of identity as the primary security perimeter, integrating MFA, conditional access, and just-in-time privilege models.

Microsegmentation and Workload Security

Designing and deploying granular network and application-level segmentation to prevent lateral movement within cloud environments.

Cloud Data Protection

Implementation of encryption, key management, and data-loss prevention controls across cloud storage, databases, and analytics platforms.

Cloud Configuration and Control Validation

Continuous validation of cloud security controls through automated testing to ensure guardrails are functioning as designed.

Move From Cloud Strategy to Secure Operation

Symosis does not stop at assessment. We help enterprises translate strategy into technical controls, infrastructure-as-code guardrails, and operating procedures that ensure security scales with the business.

Architecture and Guardrails

Developing technical standards, reference architectures, and infrastructure-as-code templates for landing zones, Kubernetes clusters, and cloud-native services.

Identity and Access

Configuring Entra ID, Okta, and cloud IAM policies. Implementing Just-In-Time (JIT) access, service-principal hardening, and identity-first network controls.

Cloud Security Operations

Deploying CSPM and CWPP platforms. Developing custom detections, automation playbooks, and security analytics to identify risks across workloads and identities.

Validation and Knowledge Transfer

Validating control effectiveness through targeted testing. Empowering internal teams through hands-on workshops and detailed documentation of operating models.

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