Enterprise AI, Cloud & Cybersecurity Engineering
Azure, AWS and Google Cloud
We design and build on the main cloud platforms.
Infrastructure as code
The same steps every time, with code, pipelines and clear runbooks.
US-based, remote-first delivery
Senior engineers who work with teams across the US and follow US rules.
Build secure, intelligent platforms that move your business forward.
iNET SYSTEMS helps you put AI to work, move to a modern cloud and tighten security. We also automate the busy work, so your key systems just run.
US Frameworks:
Microsoft Azure
Amazon Web Services
Google Cloud
Terraform
Kubernetes
Microsoft Sentinel
Built to meet the US rules you follow:
Platform overview
TLS 1.3 / mTLS
NIST Aligned
Zero Public Egress
Core capabilities
Cloud, security, DevOps and AI, built as one.
Four things we do, and they work best together. Pick the one you need most.
01
Cloud Modernization
Modernize the foundation before you build the skyscraper.Lots of teams are "in the cloud" and still pay for it in the wrong ways. Costs creep up. Setups drift apart. No one owns sign-in or the network. The move stopped halfway. Fast at first, then pain.
Explore capability 02 Cybersecurity & Compliance
Security your team can run, and evidence auditors accept.Two things go wrong a lot. Security looks good, but no one can run it. And audit prep is a rush through spreadsheets two weeks before the audit. Both leave you at risk.
Explore capability 03 Platform Engineering
Stop rebuilding the basics on every project.Each team builds its own way to ship, store secrets and watch systems. Each way is a bit different and a bit wrong. So your best engineers spend their time on pipes, not on the product.
Explore capability 04 AI Transformation
Most AI pilots die at the security review. We build the ones that pass.Everyone has an AI proof-of-concept. Almost no one has AI in production doing real work, because the moment it needs access to real systems and data, security says no, and they are usually right to. Open-ended access with no audit trail and no clear owner is not a product. It is a liability.
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.
Enterprise AI
Secure enterprise AI, built for real work.
iNET SYSTEMS builds AI agents and Copilot tools that work with your own systems, data, Microsoft 365 and Teams. Each one gets only the access it needs. Nothing is left wide open.
- 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 logs and day-to-day monitoring for AI systems
Cybersecurity
Security built in from the start.
We build security in from the start, not on top at the end. We follow the US rules that apply to you. That means NIST CSF 2.0 and FedRAMP for the public sector, HIPAA for health, PCI DSS and GLBA for banks, SOC 2 for SaaS, and state privacy laws like the CCPA. If your data must stay in the US, we plan for that on day one. With Sentinel, Defender and Entra ID, your team can spot threats, act fast and keep proof for audits.
- Zero Trust identity and least-privilege access
- Microsoft Sentinel and Microsoft Defender for Cloud
- NIST CSF 2.0, SOC 2, HIPAA and PCI DSS-aligned security posture
- US data residency plans for regulated workloads
- Detection tuning and incident response support
How we work
From discovery to operation, the work stays accountable.
Every project follows the same clear path, whether it is cloud, security, DevOps or AI.
Discover
We look at your setup, risks and goals before we suggest a thing.
Architect
Plan the target architecture, the controls and the delivery steps before the build starts.
Implement
Build, automate, test and document the solution so it is ready for production use.
Operate and improve
Monitor, support and improve the platform after launch, with clear ownership handed to your team.
Featured case studies
View all case studies
Example projects, with client details kept private.
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.
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
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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