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Managing Unstructured Data: AI-Powered Security & Classification

BigID
06/12/2026
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security. We'll explore its significance, the challenges it presents, and how Big ID offers the best solution for managing this complex data landscape. Unstructured data makes up 80 to 90 percent of all digital data today. Unlike structured data, it includes diverse formats like text files, emails, and social media interactions, making it challenging to manage and secure effectively. Unstructured data is a common source of data breaches. High-profile incidents like the Sony breach highlight the risks. Ignoring this data is not an option, as it poses significant security threats and business opportunities. Securing unstructured data requires visibility and control. Big ID enables organizations to manage and protect their unstructured data accurately and at scale, using intelligent scanning and automatic discovery of dark and shadow data. Big ID leverages AI classification for precise data management. It uses NLP classifiers and identity-aware classification to accurately identify and protect sensitive data, ensuring comprehensive security for unstructured data. Big ID's AI-driven data classification enables a new era of data security with accuracy, automation, and actionability. Big ID's platform offers advanced features like automated discovery, sensitivity classification, and the ability to take action from remediation to deletion. These tools provide the granularity needed for effective management of both structured and unstructured data, enhancing cybersecurity measures. Big ID empowers organizations to discover, manage, and protect their data. Recognized for its innovation, Big ID is a leader in data security, offering solutions that reduce risk and enhance data visibility and control. Thank you for joining us. Unstructured data is too critical to ignore. Experience Big ID's capabilities and transform your data vulnerabilities into strengths. Visit Big ID to learn more and book a demo today.

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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