Enhance Data Security with Concentric Semantic Intelligence
Table of Contents
- Introduction
- What is Concentric AI?
- How Concentric AI Helps Enterprises
- The Capabilities of Concentric Semantic Intelligence
- Automating the Data Discovery Process
- Understanding Data with Deep Learning and NLP
- Categorizing and Classifying Data
- Identifying and Managing Risks
- Investigating and Remediating Data Issues
- Activity Level Analytics
- Autonomous Deployment and Stand-Up
- Policy Exchange Marketplace
- Conclusion
Introduction
In today's digital age, data security is of utmost importance for enterprises. With the rapid growth of data across various repositories, it becomes crucial for organizations to discover, monitor, and protect their data effectively. However, traditional rule-based approaches often fall short in addressing the complexities of modern data environments. This is where Concentric AI comes into play. As the founder and CEO of Concentric AI, Karthik Krishnan introduces us to Concentric Semantic Intelligence, a revolutionary solution that helps enterprises enhance their data security posture management.
What is Concentric AI?
Concentric AI is a data security company that offers cutting-edge solutions to enterprises. Their flagship product, Concentric Semantic Intelligence, leverages advanced technologies such as deep learning and natural language processing (NLP) to provide context-aware data security. Unlike traditional methods that rely on regular expressions and rules, Concentric Semantic Intelligence goes beyond surface-level Patterns to develop a semantic understanding of data. This allows organizations to gain a holistic view of their mission-critical information, identify potential risks, and prevent data loss.
How Concentric AI Helps Enterprises
Concentric Semantic Intelligence offers a range of capabilities designed to address the specific data security needs of enterprises. Let's explore some of its key features:
Automating the Data Discovery Process
With Concentric Semantic Intelligence, the data discovery process is fully automated. The solution intelligently scans and analyzes structured and unstructured data repositories, as well as cloud-based repositories and communication platforms. By leveraging deep learning and NLP, it provides a thematic view of the data, categorizing it into various domains such as finance, HR, legal, and more. This allows organizations to gain a comprehensive understanding of their data landscape without the need for manual rule writing or upfront configuration.
Understanding Data with Deep Learning and NLP
Using deep learning as a form of NLP, Concentric Semantic Intelligence goes beyond traditional regex patterns to develop a semantic understanding of the data. This enables organizations to categorize their data with exceptional accuracy. By identifying subcategories within each domain, such as credit card letters or income statements within the finance category, organizations can easily navigate and analyze their data landscape.
Categorizing and Classifying Data
Concentric Semantic Intelligence also supports data classification programs. By thematically identifying categories of data, such as credit card authorization statements, organizations can automatically classify sensitive data as confidential. This eliminates the need for manual identification by end users and ensures consistent metadata tagging. The solution integrates with native classification schemas from Microsoft, Google, Box, and other third-party providers to apply Relevant metadata tags.
Identifying and Managing Risks
Concentric Semantic Intelligence helps organizations identify potential risks associated with their data. It analyzes entitlements, sharing permissions, access controls, and other properties to provide a risk-oriented view of the information. For example, it can detect inappropriate sharing of sensitive data outside the company or the unauthorized transfer of intellectual property. By surfacing these risks, organizations can take proactive measures to mitigate them.
Investigating and Remediating Data Issues
Once risks are identified, Concentric Semantic Intelligence enables organizations to investigate and remediate data issues. The solution provides detailed insights into specific documents or data types that exhibit risky behaviors. For example, it can highlight shared agreements or instances where employees have shared sensitive data via personal email. Organizations can then apply policies to restrict access to such data or modify permissions to ensure data security.
Activity Level Analytics
Concentric Semantic Intelligence offers activity level analytics, providing organizations with a comprehensive view of user actions within their data environment. This allows them to understand user behavior and detect potential anomalies or suspicious activities. By analyzing themes and categories of user actions, organizations can effectively manage data incidents and track the usage of sensitive data.
Autonomous Deployment and Stand-Up
One of the key advantages of Concentric Semantic Intelligence is its autonomous deployment and stand-up process. Within just 10 minutes, the solution can be deployed and connected to various data repositories in an agentless manner. Within a few days, it can scan and analyze data, providing organizations with valuable insights and a representative view of their data environment. This quick deployment allows organizations to experience the benefits of the solution without significant upfront effort.
Policy Exchange Marketplace
Concentric AI provides a policy exchange marketplace, where organizations can define and share risk widgets. These widgets represent risk Dimensions and policies that apply to specific industries or use cases. By subscribing to these widgets, organizations can leverage the expertise of other professionals and incorporate pre-defined risk definitions into their own data security strategies. This collaborative approach enhances the effectiveness and efficiency of data security initiatives.
Conclusion
Concentric Semantic Intelligence is revolutionizing data security for enterprises. Its ability to automate data discovery, provide a semantic understanding of data, categorize and classify information, and detect and remediate risks makes it a powerful solution for modern businesses. With its activity level analytics and autonomous deployment, organizations can efficiently monitor and protect their data. By leveraging the policy exchange marketplace, they can benefit from the collective knowledge of security professionals. Concentric Semantic Intelligence is reshaping the way organizations approach data security, providing them with enhanced capabilities to safeguard their valuable information.
