Data Classification
Automatically classify and label data by context, sensitivity, and business value.
Not All Data Is Created Equal
Organizations create millions of data records, but they don’t all deserve the same level of protection.
Some data is routine
Some data is critical
AI raises the stakes
Labels Are Only Useful If They’re Accurate
Manual classification and pattern matching can’t keep up with the volume and complexity of today’s data.
Too much data
Security teams can’t manually classify the growing number of records being generated across the enterprise.
Traditional methods fall short
Regex, keywords, and trainable classifiers often miss context or generate inconsistent results.
Security depends on accuracy
When data is mislabeled or not labeled at all, downstream security controls become less effective.
You need classification that’s accurate from the start—and stays that way.
Classification That Understands Context
Autonomously identify, categorize, and label enterprise data with Semantic Intelligence™.
Go beyond pattern matching
Understand data based on meaning and context, not just keywords, regex, or manually applied rules.
Classify automatically
Apply accurate labels across structured and unstructured data without relying on manual effort.
Adapt as data evolves
Continuously update sensitivity labels as data changes, moves,
and is created.
Enable enterprise-scale classification
Autonomously classify millions of records across cloud, SaaS,
and on-premises environments with consistent, accurate results.
Accurate Classification Enables Better Decisions
Give every security tool a smarter understanding of your data.
Strengthen security controls
Enable policies and controls to make better decisions based on meaningful data context.
Reduce manual effort
Eliminate time-consuming classification projects and ongoing maintenance.
Improve compliance
Consistently identify regulated and sensitive information across the enterprise.
Confidently enable AI
Understand which information is safe to use with AI, and which requires additional protection.
Maximize existing investments
Increase the effectiveness of DLP, Microsoft Purview, and other security technologies with richer data intelligence
Frequently Asked Questions
What is data classification?
Data classification is the process of identifying and labeling information based on its sensitivity, business value, regulatory requirements, or other characteristics. Effective classification helps organizations apply the right security, governance, and compliance policies to their data.
What's the difference between data categorization and data classification?
Data categorization identifies what information is, for example, a customer record, source code, financial report, or legal document. Data classification determines how that information should be handled based on its sensitivity, business value, or regulatory requirements. Concentric AI autonomously performs both, providing richer context for security and governance decisions.
How is Concentric AI different from traditional data classification tools?
Traditional tools often rely on regex, keywords, manually assigned classifications, or trainable classifiers. Concentric AI uses patented Semantic Intelligence™ to understand data based on its meaning and context, enabling more accurate classification with significantly less manual effort.
What types of data can Concentric AI classify?
Concentric AI automatically classifies structured and unstructured data across cloud, SaaS, and on-premises environments, including regulated data, intellectual property, legal documents, financial records, HR information, source code, and other business-critical content.
How does data classification improve Microsoft Purview?
Concentric AI enhances Microsoft Purview by providing more accurate and comprehensive classifications that can be synchronized with Purview sensitivity labels, helping organizations improve policy enforcement and data governance.
Why is context important for data classification?
Context helps determine not just what data contains, but why it matters. By understanding meaning, business relevance, ownership, and sensitivity, organizations can apply more accurate classifications and make better security and governance decisions.
Does Concentric AI require manual training or custom classifiers?
No. Concentric AI automatically identifies and classifies data using its patented Semantic Intelligence™ platform, eliminating the need to build and maintain extensive regex libraries or train custom classifiers for most use cases.
How does data classification support AI initiatives?
AI depends on trusted, well-governed data. Accurate classification helps organizations understand which information is appropriate for AI use, where additional safeguards are needed, and how to apply governance consistently across AI initiatives.
