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 | [email protected]
