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Anonymizing unstructured data like medical records or legal documents is much harder than with structured data. The primary challenge is identifying sensitive information (PII) within free-form text, which can be obscured by jargon, abbreviations, and OCR errors. This guide explores the viable approaches, from simple rule-based systems to advanced Machine Learning and hybrid models.
We’ve put together a simple guide on what we believe is a must have security functionality: anonymizing structured data effectively. Let’s ensure your data is both perfectly secure and fully usable for business operations.
MCPs are all the rage. The right implementation can make or break your agentic project, and there are quite a few things to consider under the hood. We’re breaking down how data is passed around from Business Agents to MCP servers, and all the client-side intricacies you need to be aware of when implementing MCPs.