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# Detect human names in logs with ML in Sensitive Data Scanner

**[Datadog](https://daily.dev/sources/datadog)** · 6 min read · 0 upvotes · 0 comments

## Summary

Datadog's Sensitive Data Scanner now includes ML-based human name detection to automatically identify and obfuscate personal names in logs without regex patterns. The feature uses a two-stage ML pipeline that filters candidates and confirms names using context, avoiding false positives from technology names like Jenkins or Cassandra. It handles complex name formats including punctuation, hyphens, diacritics, and multi-word surnames. Teams can configure actions like redaction, hashing, or masking, review findings centrally, and suppress specific matches. This helps organizations validate upstream redaction, support GDPR compliance, and reduce operational overhead of maintaining custom pattern matchers.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.datadoghq.com/blog/human-name-detection/>

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---

Tags: [#security](https://daily.dev/tags/security), [#machine-learning](https://daily.dev/tags/machine-learning), [#devops](https://daily.dev/tags/devops), [#compliance](https://daily.dev/tags/compliance)

[View this post on daily.dev](https://daily.dev/posts/detect-human-names-in-logs-with-ml-in-sensitive-data-scanner-byrsjmwfe)

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