> For the complete documentation index, see [llms.txt](https://docs.opsmx.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.opsmx.com/code-to-cloud-security-and-scanners/code-to-cloud-security-and-scanners-overview.md).

# Code-to-Cloud Security & Scanners Overview

Code-to-Cloud Security & Scanners represent OpsMx Delivery Shield's unified approach to securing modern applications across the **entire software delivery lifecycle** — from the first line of code written by a developer to the runtime behavior of a deployed workload in production.

As organizations adopt cloud-native architectures, microservices, containers, and AI-driven development, the attack surface expands significantly. Siloed security practices — scanning code here, checking images there, monitoring production separately — leave dangerous gaps between stages. Code-to-Cloud Security closes these gaps by embedding continuous, integrated security validation at every stage of delivery.

{% hint style="info" %}
Code-to-Cloud Security is not a product feature — it is the organizing principle of OpsMx Delivery Shield. Every scanner, every policy, and every gate works together as a single, closed-loop security model from code commit to cloud runtime.
{% endhint %}

## Why Code-to-Cloud Security in OpsMx

Traditional security approaches treat each stage of delivery as a separate concern — developers run SAST, ops teams manage runtime monitoring, and security teams conduct periodic audits. In a world where CI/CD pipelines release code dozens of times per day across dozens of microservices, this model cannot keep up.

OpsMx Delivery Shield uses the Code-to-Cloud model to:

* **Eliminate security blind spots** between development, build, deployment, and runtime. 
* **Create a continuous feedback loop** — where runtime anomalies inform earlier-stage code and build controls. 
* **Enforce consistent policy** across all stages — from source code to cloud infrastructure to live AI systems. 
* **Scale security with DevOps velocity** — automated, integrated checks that run in the background without blocking teams. 
* **Address AI-era threats** — securing not just traditional software but AI-generated code, LLM endpoints, and autonomous agents.