Issue #110: Edit text with updates. Added current Python Starter Kit …

…template to explanation. ... Minor edits.

docs/guides/software-lifecycle/security/secrets-detection/README.md

@@ -4,7 +4,7 @@
 
 ## Introduction
 
-**Background**: Sensitive information like API keys, passwords or tokens may inadvertently be committed to your repository. Such slip-ups can pose significant security risks. We recommend not only recurring scans for sensitive information, but proactively preventing sensitive information from getting infused. To support these goals, we recommend a tool called [detect-secrets](https://github.com/Yelp/detect-secrets) that mitigates these risks. It scans for common sensitive information categories like passwords and other high-entropy values that contain sensitive data. It also provides a plugin system to support additional customization. It's fast for use in continuous integration pipelines and quickly executes on local-developer machines. It has a "baseline file" approach, leveraging `.secrets.baseline`, that streamlines management of legitimate secrets and reduces false positives. This helps both new and established projects detect and prevent secrets getting from entering the code base.
+**Background**: Sensitive information like API keys, passwords or tokens may inadvertently be committed to your repository. Such slip-ups can pose significant security risks. We recommend not only recurring scans for sensitive information, but proactively preventing sensitive information from getting infused. To support these goals, we recommend a tool called [detect-secrets](https://github.com/Yelp/detect-secrets) that mitigates these risks. It scans for common sensitive information categories like passwords and other high-entropy values that contain sensitive data. It also provides a plugin system to support additional customization. It's fast for use in continuous integration pipelines and quickly executes on local-developer machines. It uses a "baseline file" approach, leveraging `.secrets.baseline`, that streamlines management of legitimate secrets and reduces false positives. This helps both new and established projects detect and prevent secrets from entering the code base.
 
 **Use Cases**:
 - Finding and preventing commits of sensitive information such as: