Cloud & Platform
Security.

Secure cloud and platform environments require strong architecture, governed access, continuous visibility, and resilient control design.

PFGsec helps SMEs and regulated enterprises assess and strengthen security across cloud, SaaS, workload, and container platforms. From posture reviews and identity controls to AI workload governance, we deliver resilient security practices that reduce risk while enabling business growth.

Security operations team monitoring cloud and platform security dashboards in a modern SOC

Cloud Security Architecture

Design and validate secure cloud architectures that support governance, resilience, scalability, compliance, and business growth across single-cloud, multi-cloud, and hybrid environments.

Cloud Identity & Access Security

Strengthen identity, access, privileged permissions, service accounts, roles, authentication, and authorization across cloud and platform environments.

Workload, Container & Platform Security

Secure cloud workloads, servers, containers, Kubernetes/OpenShift platforms, application runtime environments, and supporting infrastructure controls.

Cloud Monitoring, Logging & Detection Readiness

Improve security visibility across cloud, SaaS, workload, identity, network, platform, and administrative activity through logging, monitoring, alerting, and detection readiness.

Cloud Data Protection & Governance

Protect sensitive data across cloud, SaaS, workloads, storage, backups, integrations, and AI-enabled environments through practical governance and technical controls.

SaaS & Third-Party Platform Security

Assess and strengthen SaaS applications, third-party platforms, integrations, administrative access, configuration settings, data exposure, and vendor-related platform risks.

Cloud Migration or Expansion

Organizations moving workloads to the cloud or expanding cloud usage need secure architecture, access governance, data protection, visibility, and platform guardrails before risk becomes embedded.

Weak Cloud Visibility

Cloud environments can grow quickly without full visibility into assets, logs, identities, exposure, configuration drift, and administrative activity.

Excessive Privilege and Identity Risk

Cloud and SaaS environments often accumulate over-permissioned roles, standing administrative access, service accounts, unmanaged tokens, and weak access governance.

Platform Modernization

Organizations adopting Kubernetes, OpenShift, serverless, cloud-native applications, SaaS platforms, or CI/CD pipelines need security designed into the platform lifecycle.

Regulatory or Client Assurance Pressure

Clients, auditors, regulators, and partners may require evidence that cloud and platform environments are secure, governed, monitored, and resilient.

Data Exposure and Leakage Risk

Sensitive data can be exposed through misconfigured storage, SaaS sharing settings, unmanaged integrations, weak access controls, or AI-enabled platforms.

AI Workload and Shadow AI Adoption

Organizations using AI tools, AI-enabled SaaS platforms, or cloud-based AI services need governance around data use, access, monitoring, risk ownership, and approved usage.

Cloud Cost, Complexity, and Control Drift

As cloud adoption scales, environments may become harder to govern, leading to inconsistent controls, unmanaged services, duplicate tooling, and increased operational risk.

01

Discover

Understand the organization's cloud providers, platform architecture, SaaS stack, workload model, AI adoption, compliance drivers, data sensitivity, and operational priorities.

02

Review

Review cloud architecture, IAM, policies, logging, storage, workloads, platform configurations, SaaS settings, integrations, monitoring coverage, and available evidence.

03

Assess

Identify security gaps, exposure risks, access weaknesses, monitoring blind spots, data protection issues, workload vulnerabilities, AI governance gaps, and control inconsistencies.

04

Recommend

Provide practical recommendations, remediation priorities, control improvements, architecture guidance, governance actions, and a cloud/platform security roadmap.

05

Support

Support implementation planning, stakeholder decision-making, control improvement, remediation tracking, evidence preparation, and ongoing advisory where needed.

Outcomes

Proactive Outcomes

Secure Cloud Foundations

Establish strong cloud architecture, guardrails, identity, and platform controls that support governance, resilience, and business growth.

Cloud Visibility & Detection

Improve logging, monitoring, and detection coverage across cloud, SaaS, identity, workloads, and AI activity so risks become visible before they escalate.

Reduced Data Exposure

Address misconfigurations, over-permissioned access, storage exposure, integration risks, and AI-related data leakage across cloud and SaaS platforms.

Platform Resilience & Assurance

Strengthen workload, container, and platform controls so environments are hardened, monitored, and audit-ready for clients, regulators, and partners.