The Concentric Semantic Intelligence™ deep learning solution autonomously protects data by discovering and categorizing structured and unstructured content, identifying business and privacy–sensitive data and finding risk from inappropriate sharing or activity so you can quickly remediate issues and prevent data loss. Our Risk Distance™ analysis compares each file to the baseline security practices in use by each category to autonomously identify risk without the rules and policies other solutions require. Concentric’s User 360 capabilities identify inappropriate user activities and data interactions to stop insider threats and proactively prevent data breaches.

Semantic Intelligence™ automates data governance and security for structured and unstructured content. We use deep learning to capture the collective wisdom of content owners to understand security policies without hard-to-maintain rules or end user classification.

Deep learning organizes data into thematic categories that offer accurate insights into meaning and business criticality. Risk Distance™ analysis uncovers each category’s baseline security practices to spot at-risk individual files. Our User 360 capabilities assess risk through a user-centric lens to find activity that can indicate insider threats. The solution reveals inappropriate sharing, risky storage locations or incorrect classification – all without rules or policy configuration.

Semantic Intelligence is a secure SaaS solution with API connections for data intake (cloud storage, internal file servers, databases), and it integrates with other solutions to make them more effective while reducing overhead. Semantic Intelligence integrates with Microsoft Purview for consuming MIP labels and leveraging them for data classification

Effective data access governance starts with accurate and continuous data discovery and categorization. Our sophisticated natural language processing capabilities autonomously group data into over 175 categories, revealing privacy-sensitive data, intellectual property, financial information, and other business-critical information hidden in your data. We discover and categorize data without rules, regular expressions, user input, or IT staff overhead.

Collectively, the security practices in use within a data category accurately reflect the best judgment of the content owners. Risk Distance identifies risk by calculating the distance from the category’s security baseline to each individual data element. Risk distance finds inappropriate sharing, incorrect group membership or access control settings, unclassified regulated content, inappropriate file locations that place sensitive data at risk of loss.