Microsoft Presidio Sensitive Data Detection

A log file lands in your lap. It’s full of production data. Somewhere inside, buried, is a customer’s phone number, credit card, or national ID. You need to find it fast.

Microsoft Presidio Sensitive Data detection is built for this job. It’s an open-source framework that scans text for PII and other regulated identifiers. It supports names, credit cards, bank accounts, IP addresses, email addresses, driver’s license numbers, and more. You can run it locally or in the cloud. Its analyzers use built-in recognizers with regex and contextual named-entity models. You can extend those recognizers with custom patterns for domain-specific sensitive data.

Presidio breaks down into three main services: Analyzer, Anonymizer, and Recognizer Registry. The Analyzer processes input text, detects sensitive entities, and assigns a confidence score. The Anonymizer can mask or replace matching values, keeping data useful while reducing compliance risk. The Recognizer Registry handles built-in and custom recognizers so detection logic is easy to maintain.

Engineers can integrate Presidio into Python or .NET pipelines, stream processing, log analysis tools, or any microservice that handles text. Its architecture lets you choose between accuracy and performance, and you can train the NER models to your own datasets. With support for multiple languages, it’s fit for global deployments.

Compliance with GDPR, HIPAA, or PCI-DSS often requires proof that you locate and protect sensitive data. Microsoft Presidio helps you detect PII in unstructured text before it leaks. It can run as a container, scale with Kubernetes, and plug into existing CI/CD workflows. You control where and how it scans, lowering your risk without slowing your team.

Run Microsoft Presidio Sensitive Data detection where your data lives. See it in action with real scanning pipelines. Try it live in minutes at hoop.dev.