Identifying sensitive information hidden in sprawling, unstructured data sets is no easy feat—but it’s exactly what ActiveNav Cloud is built for. Now, we’re making that process even smarter. With the introduction of enhanced Named Entity Recognition (NER) capabilities, ActiveNav Cloud leverages leading AI to more precisely detect and classify personal names within documents—no matter how they’re formatted or where they appear.
This feature upgrade harnesses advanced machine learning models to supercharge our existing name-matching logic. The result? Greater accuracy, fewer false positives and negatives, and improved scalability for enterprise data environments. It’s all part of our mission to make unstructured data discovery faster, more secure, and easier to trust.
How This Works
- ActiveNav Cloud already uses a customizable scoring system to assess confidence in name matches within documents.
- Named Entity Recognition leverages AI to boost accuracy by providing advanced machine learning text analysis models that recognize names even when they appear in different formats or contexts.
- It adapts better to document structures, making it more robust for global enterprises.
Why This Benefits Users
- More precise name identification: Fewer false positives and negatives mean better detection of sensitive data.
- Stronger data security: Users can more confidently locate critical or regulated data.
- Time savings: The system does the heavy lifting, reducing manual review of documents.
- Scalability: The improved accuracy allows organizations to process large volumes of data faster, without compromising on security.
In short, by leveraging AI, ActiveNav Cloud becomes even more intelligent, efficient, and reliable at identifying and protecting unstructured data—giving users greater confidence in securing their sensitive information.
Looking to implement AI in your organization?
Our white paper, Leveraging Generative AI to Transform Your Business: The Power of Well-Curated, Classified, and Managed Data, is a guide for legal teams to understand their data challenges and adopt an AI-ready posture. Download the white paper.
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