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39 changes: 34 additions & 5 deletions README.md
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[![CI](https://github.com/Coding-Autopilot-System/cloud-security-service-model/actions/workflows/ci.yml/badge.svg?branch=main)](https://github.com/Coding-Autopilot-System/cloud-security-service-model/actions/workflows/ci.yml)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

**Enterprise cloud security operating model** for Azure and hybrid environments defines service scope, governance, controls-as-code, metrics, and measurable outcomes for security leaders and platform teams.
**Enterprise cloud security operating model** for Azure and hybrid environments - defines service scope, governance, controls-as-code, metrics, and measurable outcomes for security leaders and platform teams.

Part of the [Coding-Autopilot-System](https://github.com/Coding-Autopilot-System) portfolio of enterprise AI and platform engineering artifacts.

Expand All @@ -13,6 +13,9 @@ This repository is a public-safe, enterprise-grade operating model for a **Cloud
service/product. It defines scope, boundaries, governance, metrics, runbooks, and implementation stubs to help platform
and security leaders stand up a predictable, measurable cloud security capability.

It is intentionally written as a service architecture asset, not a product brochure. The value is in showing how
security, platform engineering, governance, and controls-as-code fit together as an enterprise operating model.

## Who it's for

- Head of Cloud Platform Services
Expand All @@ -25,6 +28,23 @@ and security leaders stand up a predictable, measurable cloud security capabilit
Organizations often treat cloud security as a toolset. This repo reframes it as a **service** with clear ownership,
interfaces, measurable outcomes, and lifecycle management across Azure and hybrid/on-prem environments.

For hiring and portfolio review, that makes the repo useful as evidence of architecture thinking beyond raw
infrastructure delivery: service design, operating model definition, control ownership, auditability, and cross-team
interfaces.

## Why it matters in a broader AI/platform portfolio

This repo keeps a strict cloud security identity, but it also demonstrates capabilities that matter across adjacent
platform domains:

- Designing shared services with explicit boundaries, consumers, and measurable outcomes
- Converting governance intent into controls-as-code, implementation stubs, and runbooks
- Establishing identity, logging, and change-management foundations required by AI and platform workloads
- Producing audit-friendly documentation that platform, security, and engineering leaders can all use

In other words, this is the security operating model that supports higher-level platform and AI services without
pretending to be those services.

## Scope

- Azure and hybrid coverage (Azure Arc and Azure Local/on-prem)
Expand Down Expand Up @@ -61,7 +81,7 @@ interfaces, measurable outcomes, and lifecycle management across Azure and hybri
- Templates: [`docs/21-templates/README.md`](docs/21-templates/README.md)
- Diagrams: [`docs/22-diagrams/README.md`](docs/22-diagrams/README.md)
- Static site: [`docs/index.html`](docs/index.html)
- [Wiki](https://github.com/Coding-Autopilot-System/cloud-security-service-model/wiki) overview, service definition, architecture, metrics & compliance
- [Wiki](https://github.com/Coding-Autopilot-System/cloud-security-service-model/wiki) - overview, service definition, architecture, metrics & compliance

## Service lifecycle

Expand All @@ -83,16 +103,25 @@ graph LR
Assessment, Security Operations, and Software Development Security. See
[`docs/00-executive-overview.md`](docs/00-executive-overview.md).

## What this signals architecturally

This repository shows the ability to:

- Define a security service as part of an enterprise platform operating model
- Connect strategy, governance, implementation patterns, and operational evidence in one coherent artifact set
- Design for Azure-first environments while preserving hybrid and audit-readiness requirements
- Document reusable service foundations that can sit under regulated data, platform, and AI workloads

## Using the static site

Open [`docs/index.html`](docs/index.html) to browse a minimal HTML version of the content with navigation and search.

## Repo structure

The repository includes:
- `/docs` service model documentation and diagrams
- `/impl` Azure and hybrid implementation stubs
- `/agile` backlog, ceremonies, and metrics
- `/docs` - service model documentation and diagrams
- `/impl` - Azure and hybrid implementation stubs
- `/agile` - backlog, ceremonies, and metrics

## License

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22 changes: 22 additions & 0 deletions docs/00-executive-overview.md
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Expand Up @@ -17,6 +17,20 @@ predictability.
- Controls as Code are deployed, tested, and monitored for drift.
- Service outcomes are reviewed on a regular cadence and improved.

## Why this matters beyond security alone
This repository is still a Cloud Security Service model first. Its broader portfolio value comes from showing how an
enterprise shared service is defined end-to-end: strategy, service boundaries, governance, architecture principles,
controls-as-code, operating cadence, evidence, and measurable outcomes.

That makes it directly relevant to adjacent platform and AI initiatives that depend on the same foundations:
- identity and privileged access controls
- policy guardrails and exception handling
- logging, detection, and audit evidence
- release discipline for regulated shared services

The point is not that cloud security becomes an AI platform. The point is that strong AI and platform services usually
require a security operating model like this underneath them.

## Assumptions
- The organization operates Azure and maintains hybrid/on-prem environments with Azure Arc.
- Centralized logging exists or is feasible via SIEM (e.g., Microsoft Sentinel).
Expand Down Expand Up @@ -72,6 +86,14 @@ flowchart LR
Security Operations, Software Development Security.
- **NIST-like IR lifecycle**: prepare, detect, contain, eradicate, recover, learn.

## Portfolio reading guide
If you are reviewing this repository as part of a wider architecture portfolio, read it in this order:

1. [`01-service-definition.md`](01-service-definition.md) for the service contract and organizational interfaces.
2. [`05-operating-model.md`](05-operating-model.md) for the delivery and governance mechanics.
3. [`04-reference-architecture.md`](04-reference-architecture.md) and [`19-devsecops-pipelines.md`](19-devsecops-pipelines.md) for implementation posture.
4. [`10-audit-readiness.md`](10-audit-readiness.md) and [`11-incident-response.md`](11-incident-response.md) for evidence and operational rigor.

## Related docs
- Service definition: [`01-service-definition.md`](01-service-definition.md)
- Operating model: [`05-operating-model.md`](05-operating-model.md)
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