Microsoft
Azure
Microsoft 365
Entra ID
Sentinel
Defender
Purview
Copilot
AI Foundry
Case studies
Real builds. Client names protected. Results that aren't.
We keep client identities and confidential details out of public case studies: that's non-negotiable for the kind of clients we work with. What we can share is the problem, the engineering approach, and the measurable outcome. Three below.
Selected work
Real delivery work with architecture and outcomes made clear.
Client names are withheld where needed for security and NDA reasons. Each story focuses on the business challenge, technical approach, platforms used and practical outcome.
AI Platform | Microsoft Azure
AI agents needed real tools. The security team needed to sleep at night.
AI agents got only the tools they need, through one gateway, with every call logged.
- Least privilegeAccess model
- Entra IDIdentity
Compliance | Cloud Security
SOC 2 shouldn't be a two-week panic before the audit.
Ongoing control checks and repeatable fixes, so you stay ready for SOC 2.
- DefenderSecurity platform
- SOC 2Control model
Cloud Foundation | Multi-Cloud
Every new environment was a snowflake. We made them reproducible.
One cloud base that every team reuses, so new setups are quick and stay in line.
- 3 cloudsCloud scope
- TerraformDelivery model
Technology ecosystem
Used on the main platforms we work with.
We pick the platform that fits your current setup, your risks, your team's skills and how you plan to run it.
AWS
EC2
EKS
S3
IAM
VPC
Security Hub
Google Cloud
GKE
Cloud SQL
BigQuery
Cloud Run
Cloud Armor
SecOps
Vertex AI
DevOps
Terraform
Docker
GitHub Actions
Azure DevOps
Kubernetes
Jenkins
AI Engineering
Azure OpenAI
Microsoft AI Foundry
MCP
RAG and vector search
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