[K9VULN-3850] Remove Rust as supported SCA language

content/en/security/code_security/software_composition_analysis/_index.md

@@ -18,9 +18,7 @@ Using Software Composition Analysis provides organizations with the following be
 Datadog SCA uses a curated proprietary database. The database is sourced from Open Source Vulnerabilities (OSV), National Vulnerability Database (NVD), GitHub advisories, and other language ecosystem advisories, as well as Datadog's own Security Research team's findings. There is a maximum of 2 hours between when a new vulnerability is published and when it appears in Datadog, with emerging vulnerabilities typically appearing in Datadog within minutes.
 
 ## Set up Software Composition Analysis
-The following languages and technologies are supported:
-
-{{< partial name="code_security/sca-getting-started.html" >}}
+The following languages are supported: Python, JavaScript, Java, Csharp, Go, Ruby, PHP
 
 SCA supports both static and runtime dependency detection:
 - For static detection, you can scan via your CI/CD pipelines or directly via Datadog with hosted scanning (GitHub-only). Go to the [Code Security setup page][4] or see [static setup][1] to get started.
@@ -66,7 +64,7 @@ The Libraries [Inventory][8] helps you understand the list of libraries and its
 SCA enriches the information Application Performance Monitoring (APM) is already collecting by flagging libraries that match with current vulnerability advisories. Potentially vulnerable services are highlighted directly in the **Security** view embedded in the [APM Software Catalog][10].
 - Whether it is reaching end of life
 - Whether it is a malicious package
-- The health of this library version based on its OpenSSF scorecard breakdown 
+- The health of this library version based on its OpenSSF scorecard breakdown
 - Software supply chain & Software Bill of Materials (SBOM) management
 
 <!-- ### Remediation

content/es/security/code_security/software_composition_analysis/_index.md

@@ -18,9 +18,7 @@ El uso de Software Composition Analysis proporciona a las organizaciones los sig
 Datadog SCA utiliza una base de datos propia. La base de datos procede de Open Source Vulnerabilities (OSV), National Vulnerability Database (NVD), asesores de GitHub y otros asesores del ecosistema de lenguajes, así como de los hallazgos del propio equipo de investigación de seguridad de Datadog.
 
 ## Configurar Software Composition Analysis
-Se admiten los siguientes lenguajes y tecnologías:
-
-{{< partial name="code_security/sca-getting-started.html" >}}
+Se admiten los siguientes lenguajes: Python, JavaScript, Java, Csharp, Go, Ruby, PHP
 
 SCA admite la detección de dependencias tanto estática como en tiempo de ejecución:
 - Para la detección estática, puedes analizar a través de tus pipelines CI/CD o directamente a través de Datadog con análisis alojado (sólo GitHub). Ve a la [página de configuración de Code Security][4] o consulta la [configuración estática][1] para empezar.
@@ -84,4 +82,4 @@ El Explorador de vulnerabilidades ofrece recomendaciones para la corrección de
 [9]: /es/account_management/rbac/permissions/#integrations
 [10]: https://app.datadoghq.com/services?lens=Security
 [11]: https://app.datadoghq.com/security/appsec/vm/library
-[12]: https://app.datadoghq.com/ci/code-analysis
+[12]: https://app.datadoghq.com/ci/code-analysis