in

Active Assist gets new Hub and recommendations


Our new cloud deprecation and breaking changes recommender helps identify Cloud resources that will be affected by upcoming deprecations and breaking changes while providing guidelines on how to manage them. Like our other recommendations, you can view them through our Recommendation Hub UI, API, and BigQuery export. 

Deprecation and breaking change recommendations are offered at no charge and are available for all users today. Making sure you get ahead of these changes is important to help prevent any disruptions to your environment and ensure you are on the most reliable and supported services. 

2. IAM for BigQuery recommendations
We’ve expanded the popular IAM Recommender to include IAM recommendations on BigQuery datasets. If your principals have roles on BigQuery datasets but they are not using all of the permissions within that role, you can now receive recommendations to remove or replace any of those roles. These recommendations help you enforce the principle of least privilege by ensuring that principals have only the permissions that they actually need. 

You can view your recommendations through UI, API, or BigQuery export. The recommendations are currently free but will require Security Command Center Premium after April 29th. 

3. Advisory Notifications recommendations
Advisory Notifications provides IAM policy recommendations to ensure the right parties within your organization have access to view critical security and privacy notifications in the Google Cloud console, so that they can receive and quickly address security notifications. 

4. Recent change recommendations
We want to help you detect and mitigate issues (e.g., service outages) caused by misconfigurations to your important cloud resources. The new recent change recommendations automatically flags recent risky changes to cloud resources that are identified as important based on their usage and other signals. For example, if you deleted a highly used project, recent change recommendations will proactively warn you about the risks associated with the change, helping to identify — and prevent — unintended issues.. 

We’re excited about these latest change risk recommendations, and hope they will help you both prevent and mitigate misconfigurations and risky changes to your infrastructure. Try out the new features on Recommendation Hub yourself. If you have any feedback, please feel free to reach out to [email protected].


Perform product analysis with generative AI and BigQuery

Build a RAG Based LLM App in 20 Minutes! | Full Langflow Tutorial