How Opsbrew Masks PII Data in Logs Using Machine Learning and Regex

How Opsbrew Masks PII Data in Logs Using Machine Learning and Regex

In this post, I share the approach and learnings of Opsbrew as they incorporated data masking into their log management product.

Masking PII data in logs is an overlooked yet important aspect when managing log data for cloud-native applications. I was in conversation with Arun Mohan, Co-founder of Opsbrew, who had an interesting story to share on this topic. In this post, I share the approach and learnings of Opsbrew as they incorporated data masking into their log management product.

Some Background on Opsbrew

Opsbrew offers log pipelines as a service. The team won a recent Microsoft hackathon and were invited to present their solution at the Microsoft Ignite virtual conference.

From speaking to large organizations that rely on logs they found a need to not just route logs efficiently, but to do this in a secure way. This means encrypting, or masking, log data appropriately. This started Opsbrew on a path to figure out the best way to mask PII (Personally identifiable information) data efficiently and responsibly.

log management log data data masking machine-learning

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