Hi there, Here's my take on your query: Least Privilege vs. Performance: Separate indexes: While ideal for least privilege, searching across multiple indexes impacts performance, especially with SmartStore's IOPS usage. Single index with access controls: Offers better performance but weakens least privilege. You could use ACLs or user roles to restrict data access within an index. Balancing Act: Data classification: Classify data into security levels (highly sensitive, sensitive, general). Implement least privilege based on these levels. Hybrid approach: Use separate indexes for highly sensitive data and combine lower-sensitivity data from multiple groups into a single, access-controlled index. Search optimization: Tune searches to target specific indexes and data types. Utilize summary indexes or distributed searches for broader queries. Scaling with Groups: Index replication: Replicate relevant data subsets to separate indexes for specific groups. This balances access control with performance. Splunk User Conductors: Leverages a central team to manage group data access and conduct privileged searches when needed. Invest in Splunk expertise: Consider consulting Splunk specialists for guidance on architecting a scalable and secure solution. Remember: There's no one-size-fits-all solution. Evaluate your specific security needs, data volume, and search requirements. Prioritize data security without sacrificing performance entirely. Find the right balance through a combination of strategies. Leverage Splunk documentation and community resources for best practices and expert insights. Balancing least privilege with search performance is a common challenge in Splunk security setups. Here's my take on your query: Least Privilege vs. Performance: Separate indexes: While ideal for least privilege, searching across multiple indexes impacts performance, especially with SmartStore's IOPS usage. Single index with access controls: Offers better performance but weakens least privilege. You could use ACLs or user roles to restrict data access within an index. Balancing Act: Data classification: Classify data into security levels (highly sensitive, sensitive, general). Implement least privilege based on these levels. Hybrid approach: Use separate indexes for highly sensitive data and combine lower-sensitivity data from multiple groups into a single, access-controlled index. Search optimization: Tune searches to target specific indexes and data types. Utilize summary indexes or distributed searches for broader queries. Scaling with Groups: Index replication: Replicate relevant data subsets to separate indexes for specific groups. This balances access control with performance. Splunk User Conductors: Leverages a central team to manage group data access and conduct privileged searches when needed. Invest in Splunk expertise: Consider consulting Splunk specialists for guidance on architecting a scalable and secure solution. Remember: There's no one-size-fits-all solution. Evaluate your specific security needs, data volume, and search requirements. Prioritize data security without sacrificing performance entirely. Find the right balance through a combination of strategies. Leverage Splunk documentation and community resources for best practices and expert insights. ~ If the reply helps, a Karma upvote would be appreciated
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