Enterprise AI, cloud modernization, cybersecurity and platform engineering. Book a consultation
Enterprise AI, Cloud & Cybersecurity Engineering

Build secure, intelligent platforms that move your business forward.

CloudevTech helps organizations adopt enterprise AI, modernize cloud infrastructure, strengthen cybersecurity, automate delivery, and operate critical platforms with confidence.

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Azure, AWS, and Google Cloud delivery Cloud architecture and implementation across leading enterprise platforms.
Infrastructure as code and automation Repeatable delivery using automation, CI/CD and documented operating paths.
Global remote delivery from Pakistan Remote-first engineering support for regional and international teams.
Microsoft Azure Amazon Web Services Google Cloud Terraform Kubernetes Microsoft Sentinel
Trust and credentials

Verified expertise, not marketing claims.

These are individual Microsoft Learn credentials, not a claim of company partner status. Each link opens the official verification page.

Associate

Microsoft Certified: Cloud and AI Security Engineer Associate

Earned
July 27, 2026
Expires
July 28, 2027
Verify on Microsoft Learn ->
Core capabilities

Cloud, security, DevOps and AI, engineered together.

Four connected capabilities behind every CloudevTech engagement. Explore the one that matches your priority.

01

Cloud Modernization

Modernize cloud foundations without losing security or operational control.

Landing zones, migration, resilience, cost optimization and managed operations across Azure, AWS and Google Cloud.

Explore capability -> 02

Cybersecurity & Compliance

Strengthen security posture and compliance readiness with controls teams can operate.

Identity, Microsoft security, Sentinel, Defender, SOC readiness, SIEM, data protection and governance aligned to business risk.

Explore capability -> 03

Platform Engineering

Create reliable engineering platforms with reusable delivery paths.

Terraform, Kubernetes, CI/CD, observability, runbooks and platform standards that help teams ship safely and consistently.

Explore capability -> 04

AI Transformation

Move enterprise AI from pilot work to governed production systems.

Agentic AI, Microsoft AI, Azure OpenAI, Copilot, MCP and automation workstreams built with security, monitoring and operating ownership.

Explore capability ->
Cloud platforms

Multi-cloud engineering, matched to the platform you run.

Platform choice depends on the workload, team and existing environment, not a single default stack.

Microsoft Azure

Enterprise architecture, landing zones, Entra ID identity, Kubernetes on AKS and the Microsoft security and AI ecosystem.

Amazon Web Services

Cloud architecture, networking, containers on EKS, serverless workloads and IAM-driven security controls.

Google Cloud

GKE, BigQuery, shared VPC networking and Cloud Armor-protected edge and data services.

Enterprise AI

Secure enterprise AI, built for real work.

CloudevTech designs AI agents and Copilot integrations that connect to internal systems, business data, Microsoft 365 and Teams under real identity, access and network controls, not open-ended access.

Explore AI Solutions ->
  • Agentic AI with governed, least-privilege tool access
  • Microsoft AI Foundry and Azure OpenAI implementations
  • Microsoft 365 Copilot and Teams integrations
  • MCP-based connections to internal APIs and data
  • Identity, audit logging and operational monitoring for AI systems
Cybersecurity

Security built into the architecture, not added later.

Identity, detection and compliance controls are designed alongside the platform. CloudevTech works with Microsoft Sentinel, Defender and Entra ID to give teams visibility, response capability and evidence for audits.

Explore Cybersecurity ->
  • Zero Trust identity and least-privilege access
  • Microsoft Sentinel and Microsoft Defender for Cloud
  • Security posture management and compliance readiness
  • Detection tuning and incident response support
How we work

From discovery to operation, the work stays accountable.

Every engagement follows the same accountable path, regardless of whether the work is cloud, security, DevOps or AI.

01

Discover

Assess the current environment, security posture and business priorities before recommending anything.

02

Architect

Design the target architecture, control model and delivery plan before implementation starts.

03

Implement

Build, automate, test and document the solution so it is ready for production use.

04

Operate and improve

Monitor, support and improve the platform after launch, with clear ownership handed to your team.

Featured case studies

Representative delivery stories with confidential details protected.

View all case studies ->
AI Platform | Google Cloud

Governed MCP platform connecting enterprise AI agents to production tools.

Controlled AI-agent tool access with least-privilege scoping, mediated APIs and BigQuery audit logging.

Read the story ->
Compliance | Cloud Security

SOC 2 enablement with Microsoft Defender for Cloud.

Continuous control visibility and repeatable remediation for SOC 2 readiness.

Read the story ->
Cloud Foundation | Multi-Cloud

Reusable landing zones across Azure, AWS and Google Cloud.

A repeatable cloud foundation that reduced drift and made governed environments faster to reproduce.

Read the story ->
Client proof

Selected delivery references across enterprise operations.

Automotive group | UAE

Gargash Group

Designed and delivered CI/CD pipeline automation and Azure Virtual Desktop support for secure, repeatable delivery and remote workforce enablement.

CI/CD Azure Virtual Desktop Azure
Consumer goods | Pakistan

Canbebe

Provided server support, Palo Alto firewall support and full Azure infrastructure support across cloud operations, security and platform reliability.

Server Support Palo Alto Firewall Azure Infrastructure
Healthcare operations | Pakistan

Ability

Built and supported full AWS infrastructure foundations for scalable, reliable and well-governed cloud operations.

AWS Infrastructure Cloud Foundation Operations
Technology ecosystem

Implemented across leading enterprise platforms.

Platform selection is driven by the client environment, risk profile, team capability and long-term operating model.

Microsoft

Azure Microsoft 365 Entra ID Sentinel Defender Purview Copilot AI Foundry

AWS

EC2 EKS S3 IAM VPC Security Hub

Google Cloud

GKE Cloud SQL BigQuery Cloud Run Cloud Armor

DevOps

Terraform Docker GitHub Actions Azure DevOps Kubernetes Jenkins

AI Engineering

Azure OpenAI Microsoft AI Foundry MCP RAG and vector search
Enterprise consultation

Planning a cloud, security, DevOps or AI initiative?

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