AWS glue documentation change

Service: glue · 2025-06-28 · Documentation low

File: glue/latest/dg/security-lf-enable.md

Summary

Added documentation about Full Table Access control (FTA) with DynamicFrames in Glue 5.0 and updated section headers

Security assessment

The change adds documentation about security features (Full Table Access control with Lake Formation) but does not address a specific security vulnerability. It enhances security documentation by explaining access control capabilities.

Diff

diff --git a/glue/latest/dg/security-lf-enable.md b/glue/latest/dg/security-lf-enable.md
index 69172e288..6366f2ce8 100644
--- a//glue/latest/dg/security-lf-enable.md
+++ b//glue/latest/dg/security-lf-enable.md
@@ -15 +15,3 @@ With AWS Glue version 5.0 and higher, you can leverage AWS Lake Formation to app
-  * If you need fine grained access control (FGAC) for row/column/cell access control, you will need to migrate from `GlueContext`/Glue DynamicFrame in Glue 4.0 and prior to Spark dataframe in Glue 5.0. For examples, see see [Migrating from GlueContext/Glue DynamicFrame to Spark DataFrame.](./security-lf-migration-spark-dataframes.html)
+  * If you need fine grained access control (FGAC) for row/column/cell access control, you will need to migrate from `GlueContext`/Glue DynamicFrame in Glue 4.0 and prior to Spark dataframe in Glue 5.0. For examples, see [Migrating from GlueContext/Glue DynamicFrame to Spark DataFrame](./security-lf-migration-spark-dataframes.html)
+
+  * If you need Full Table Access control (FTA), you can leverage FTA with DynamicFrames in Glue 5.0. You can also migrate to native Spark approach for additional capabilities such as Resilient Distributed Datasets (RDDs), custom libraries, and User Defined Functions (UDFs) with AWS Lake Formation tables. For examples, see [Migrating from AWS Glue 4.0 to AWS Glue 5.0 FTA](https://docs.aws.amazon.com/glue/latest/dg/security-access-control-fta-migration.html).
@@ -182 +184 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please
-AWS Lake Formation with full table access
+Using AWS Glue with AWS Lake Formation for Full Table Access
@@ -184 +186 @@ AWS Lake Formation with full table access
-Migrating from GlueContext/Glue DynamicFrame to Spark DataFrame.
+Migrating from GlueContext/Glue DynamicFrame to Spark DataFrame