Key Takeaways A PII audit identifies where sensitive personal data is stored and highlights security or compliance risks before they become incidents. Dark data, excessive user permissions, and misplaced files are common issues uncovered during internal audits. Performing regular in-house audits helps organizations prepare for regulatory assessments and reduce the risk of fines or data breaches. Automated PII discovery can … Read More
Discovering Person Names in Texts Made Easy
PII Tools streamlines detecting person names with +99% accuracy, even rolling them into Person Cards® for easier export and remediation. Let’s find out how. Basics of Person Name Discovery Detecting people’s names in text is the most fundamental activity in sensitive data discovery. But there are many ways to achieve this task, some more effective than others. The main driver … Read More
Detect Person Names in Text: Part 1 (Results)
Detecting people’s names is part and parcel of PII discovery. Traditional techniques like regexp and keywords don’t work because the set of all names is too varied. How do open-source Named Entity Recognition (NER) engines compare, and can we do better? Part 1 deals with NER results and benchmarks, while Part 2 discusses technical neural network details. Or download the … Read More
Detect Person Names in Text: Part 2 (Technical)
In Detect Person Names in Text: Part 1 (Results), we benchmarked our new named entity recognizer (NER) against popular open source alternatives, such as Stanford NER, Stanza and SpaCy. Today we dig a little deeper into the NER architecture and technical details. Key Takeaways Detecting person names in text at scale relies on advanced Named Entity Recognition (NER) models, often … Read More
