Discover, understand, and prioritize the data that matters most.
The way organizations create, share, and use data has fundamentally changed.
It’s knowing what data is sensitive and of most value to your organization.
Sensitive and business-critical information is buried across millions of files, making it difficult to identify what truly needs protection.
When you don’t understand the data itself, every alert demands your full attention, and every file can look equally important.
Stopping to investigate every low-risk finding means less time to address the exposures that matter most.
You need intelligent visibility that turns data into actionable insight.
Turn data overload into decisions you can trust.
Discover sensitive and business-critical data wherever it lives.
Our Semantic Intelligence™ platform reveals the meaning, context, and business impact of data.
Prioritize the risks that deserve immediate attention so your team can act faster.
Better data understanding powers better security, AI, and business outcomes.
Spend less time investigating low-risk findings and more time reducing meaningful risk.
Focus on the exposures that matter before they become incidents.
Quickly identify regulated data and demonstrate stronger governance.
Make DLP, Microsoft Purview, and the rest of your security stack more effective with better data intelligence.
Adopt AI without losing visibility into or control over sensitive information.
Data visibility is more than knowing where your data lives. It means discovering, understanding, and continuously monitoring data across your organization so you can identify sensitive information, understand its business value, and prioritize risk with confidence.
Traditional tools often rely on pattern matching, manual labels, or trainable classifiers to identify sensitive information. Concentric AI uses proprietary AI to understand data based on its meaning and context, delivering more accurate discovery and deeper insights into business-critical information.
Concentric AI discovers both structured and unstructured data across cloud, SaaS, and on-premises environments. This includes regulated data, intellectual property, financial information, legal documents, customer records, source code, HR data, and other business-critical information.
Without context, organizations may know where data resides yet not understand its importance or risk. Context helps security teams determine what information is sensitive, who has access to it, how it's being shared, and which risks should be addressed first.
AI depends on trusted, well-governed data. By understanding which information is appropriate for AI use and which requires additional safeguards, organizations can adopt AI more confidently while reducing the risk of exposing sensitive or regulated data.