Filter sensitive information from text

Philter finds, identifies, and removes sensitive information such as PHI and PII from natural language text. Use Philter as part of your comprehensive data loss prevention strategy.

 

Customizable types of sensitive information

Philter can find persons names, phone numbers, SSNs and other unique identifiers, and more. Create filter profiles to define the types of sensitive information to identify.

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State-of-the-art NLP

Philter uses state-of-the-art natural language processing technology to analyze the text. Philter’s NLP models are trained and refined for optimal performance. Or, train and use your own model.

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Runs anywhere

Run Philter in AWS, Azure, Google Cloud, or in containers.

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Featured Solution: Apache NiFi and Philter

Use Philter with Apache NiFi to remove sensitive information from text in your data flow. Philter can process the content of flowfiles to redact sensitive information without requiring any custom NiFi processors or custom configuration.

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Philter 1.6.0

Philter 1.6.0 will be available soon through the cloud marketplaces and DockerHub

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Philter – A Real-World Use-Case

Philter finds, identifies, and removes sensitive information from text. In this post we will detail an actual, real-world use-case of Philter.

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Challenges in Finding Sensitive Information and Content in Text

Finding sensitive information and content in text has been a problem for as long as text has existed.

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