Managing Unstructured Data: AI-Powered Security & Classification

Name: Managing Unstructured Data: AI-Powered Security & Classification
Uploaded: 2026-06-12T20:32:44-04:00
Duration: 2 min 6 s
Description: Unstructured data accounts for 80-90% of all digital information—and it's a major cybersecurity challenge. Learn how BigID uses AI to discover, classify, and secure this data, reducing risks and enhancing visibility. Watch now to see how you can trans...

BigID

06/12/2026

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TL;DR

Unstructured data represents 80-90% of all digital information and poses significant cybersecurity risks due to its diverse formats and difficulty to manage effectively.
BigID uses AI-powered classification including NLP and identity-aware techniques to automatically discover and categorize sensitive data across structured and unstructured sources.
The platform enables automated discovery of dark and shadow data, providing visibility into previously unknown data repositories that may contain sensitive information.

Summary

This overview examines the cybersecurity challenges posed by unstructured data, which comprises 80-90% of all digital information and includes formats like text files, emails, and social media interactions. The video highlights how unstructured data has become a primary vector for data breaches, referencing high-profile incidents like the Sony breach as cautionary examples. BigID's approach to this challenge centers on AI-powered discovery and classification capabilities, including intelligent scanning for dark and shadow data, NLP classifiers, and identity-aware classification to accurately identify sensitive information. The platform offers automated discovery, sensitivity classification, and remediation workflows that provide organizations with the visibility and control needed to transform unstructured data from a security liability into a managed asset. Key capabilities emphasized include the ability to operate at scale across diverse data environments while maintaining classification accuracy through machine learning techniques.

Chapters

0:00 - Introduction
0:14 - The Unstructured Data Challenge
0:46 - BigID's Discovery Capabilities
1:00 - AI-Powered Classification

Key Quotes

0:14 "Unstructured data makes up 80 to 90 percent of all digital data today."
0:32 "Unstructured data is a common source of data breaches. High-profile incidents like the Sony breach highlight the risks."
1:14 "Big ID's AI-driven data classification enables a new era of data security with accuracy, automation, and actionability."

FAQ

What makes unstructured data particularly challenging to secure?

Unstructured data includes diverse formats like text files, emails, and social media interactions that don't fit neatly into traditional database structures. This variety makes it difficult to apply consistent security policies, and much of it exists as 'dark data' that organizations don't even know they have.

How does BigID's AI classification differ from traditional data classification approaches?

BigID leverages NLP classifiers and identity-aware classification that can understand context and accurately identify sensitive data across diverse formats. This enables automated, scalable classification rather than relying on manual tagging or simple pattern matching.

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TL;DR

Summary

Chapters

Key Quotes

FAQ

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