Summary
Throughout this chapter, we delved into the process of creating, configuring, and customizing a PII redaction pipeline in Elasticsearch, an essential tool for safeguarding sensitive information in today’s data-driven world. You should now have a comprehensive understanding of how to set up the default pipeline, customize it according to your organization’s unique requirements, and further enhance it by fine-tuning NER models or incorporating contextual awareness. Equipped with this knowledge, you are now well prepared to tackle the challenges of data privacy and security, ensuring that your organization complies with regulations and maintains the trust of its users by effectively protecting their personal information.
In the next chapter, we will explore how vector-search use cases can be combined with observability solutions in the Elastic platform.
