This is a collection of example solutions built with Philter to find and remove sensitive information from text. You are welcome to copy these solutions and tailor them to your use-cases and challenges.
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 code.
Use Philter to find and remove sensitive information from text inside an AWS Kinesis Firehose stream. Use a Transformation Lambda function to filter the text.
Use Philter to find and remove sensitive information from text inside a Microsoft Power Automate flow. Using an HTTP step, we can integrate Philter with our flow to filter text.
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