# Active Entity Normalizer Raw user feeds contain noise. Inactive accounts, inconsistent formatting, unsorted identifiers. This workflow filters, extracts, sorts, and formats active user entities into a clean, normalized string ready for downstream ingestion. ## Problem SOC pipelines and IAM access review tools frequently receive raw user datasets with mixed statuses, unordered records, and no standardized output format. Passing dirty data to a SIEM or identity governance tool causes false positives, missed correlations, and manual cleanup overhead. ## Solution An n8n workflow that: - Filters only active user entities from a raw input - Extracts usernames and sorts them alphabetically - Wraps each identifier in double quotes - Outputs a single formatted string ready for API injection or report use ## Use Cases - IAM access review: compile active user lists before quarterly entitlement audits - MDR triage: normalize user entity identifiers before enrichment against threat intel feeds - GRC compliance: extract active accounts for SOC 2 user access evidence packages - SSPM: pull active SaaS user lists for access governance checks ## Impact Eliminates manual copy-paste normalization of user records before ingestion. Removes formatting errors that break downstream API calls or audit evidence submissions. Runs in seconds on datasets of any size. Kunsh Tanwar | ETXcyberops | kunsh@etxhuman.com brave_screenshot.png