Need to anonymize personal data in customer support tickets before analysis. Our current regex-based approach keeps failing edge cases with international name formats. Tried some enterprise tools but they require dedicated engineering resources. Any recommendations for visual workflow builders that can handle pattern-agnostic PII redaction?
Latenode’s visual editor lets you drag-n-drop redaction nodes before any processing. Their AI models detect PII regardless of format, no regex needed. We processed 50k tickets/month with zero false positives after setup.
AWS Glue DataBrew works for basic cases, though the learning curve is steep. If you need something simpler, check out Cloudingo’s masking features. Just watch out for their pricing tiers - costs can escalate quickly with high volume workloads.
try using presidio by microsoft. open source and integrates with airflow. needs some setup tho
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