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Cloud Security, Compliance & AI-Ready Foundations

Secure Your Private Cloud for Operations, Compliance and AI

Hardened OpenShift, Kubernetes and hybrid platforms with policy-as-code and audit evidence. Controls applied from Day-0, not bolted on later.

CIS BaselinesPolicy-as-CodeSecrets & RBACAudit Evidence

Secure Cloud Foundation Architecture

Operational & AI Workloads
CNF / VNF workloadsOSS workloadsManaged operationsPrivate AI workloadsOpenShift AIModel servingRAG / agent workloads
Security & Compliance Controls
RBACSecretsCertificatesHardening baselinesPolicy-as-codeAudit loggingBackup / DRVulnerability readiness
Cloud Platforms
OpenShiftOpenStackKubernetesVMwareBare metalHybrid cloud
AssessBaselineHardenAutomateAuditImprove

Security Areas We Help Establish

Security is designed into platform build, managed operations, automation and AI workload readiness — not bolted on afterwards.

01

RBAC and Access Boundaries

Role-based access design, namespace isolation, service accounts, group policies and least-privilege enforcement.

02

Secrets and Certificate Management

Vault integration, secret rotation, TLS certificate lifecycle, PKI and secure injection patterns.

03

CIS and RHEL Hardening

CIS benchmark application, RHEL / STIG hardening, OS baseline, kernel controls and image hardening.

04

Audit Evidence and Logging

Audit log configuration, retention, tamper resistance, evidence collection and sign-off pack generation.

05

Policy-as-Code Controls

OPA / Gatekeeper policies, admission controllers, kyverno rules and automated policy enforcement gates.

06

Backup, DR and Resilience Controls

Backup schedule governance, DR plan validation, failover testing and recovery evidence packs.

07

Compliance Readiness

Control mapping, compliance gap analysis, evidence packs and readiness documentation for audits.

08

Secure AI Workload Foundations

GPU workload isolation, model serving access controls, AI data boundaries and governed inference pipelines.

Cloud Security Readiness Model

A five-stage structured approach that takes cloud security from baseline assessment through to automated, evidence-driven compliance operations.

01

Assess Current Controls

Review existing RBAC, hardening, secrets, logging and policy posture against target baseline.

02

Define Security Baseline

Agree CIS / RHEL standards, RBAC model, secrets strategy, audit requirements and policy scope.

03

Harden Platform and OS

Apply hardening baselines, configure RBAC, deploy secrets management, set up certificate lifecycle.

04

Automate Policy and Evidence

Implement policy-as-code, automate evidence collection, configure audit pipelines and reporting.

05

Operate, Audit and Improve

Monitor controls, respond to violations, update baselines, produce audit evidence and drive continual improvement.

Security Controls Across the Cloud Lifecycle

Security is not a phase — it runs through Design, Build, Operate and Scale with specific controls at every stage.

Design
  • Security architecture
  • Access model definition
  • Compliance mapping
  • Threat modelling
  • Data classification
Build
  • CIS / RHEL hardening
  • RBAC configuration
  • Secrets and certificates
  • Network policy setup
  • Admission controls
Operate
  • Audit log monitoring
  • Vulnerability response
  • Patch management
  • Security runbooks
  • Incident escalation
Scale
  • Policy automation
  • Evidence pack generation
  • AI workload controls
  • Compliance reporting
  • Control optimisation

Private AI Cloud Security Connection

A secure cloud foundation is the prerequisite for governed AI workloads. Azalio connects platform hardening with OpenShift AI readiness.

Private AI Cloud Security Connection

Secure Cloud Foundation

  • Hardened OS and platform
  • RBAC and namespaces
  • Secrets and certificates
  • Audit logging
  • Network policies
  • Backup / DR controls

OpenShift AI / GPU / Model Serving Layer

  • OpenShift AI
  • GPU worker pool
  • Model serving
  • Data boundaries
  • Workload isolation
  • Monitoring

Governed AI Workloads

  • Secure AI execution
  • Controlled data access
  • RBAC-gated inference
  • Audit trail for AI ops
  • Human approval gates
  • Governed AI scale

Artifacts and Outputs

Every Azalio security engagement produces tangible, reusable artifacts — not assessments that gather dust.

A01

Hardening checklist

CIS / RHEL controls applied and verified

A02

Access model

RBAC, namespaces, service accounts, groups

A03

Policy control map

OPA / Gatekeeper / Kyverno policy inventory

A04

Audit evidence pack

Logs, screenshots, test output, sign-off

A05

Security runbooks

Incident response, escalation and remediation

A06

Backup / DR checklist

Schedule, test results and recovery evidence

A07

Private AI readiness checklist

GPU isolation, access, data boundary controls

A08

Remediation backlog

Prioritised security gap and fix register