Revolutionize Data Security with Concentric AI | Learn How It Works

Revolutionize Data Security with Concentric AI | Learn How It Works

Table of Contents

1. Introduction
2. What is Concentric AI?
3. How Concentric AI Works
   • Classification of Data
   • Identification of Risk
   • Remediation and Policy Creation
4. Key Features of Concentric AI
5. Connectors and Platforms Supported
6. The Problem Concentric AI Solves
7. Use Cases in Finance and Financial Services
8. Easy Deployment and Proof of Value
9. Customer Testimonials
10. Conclusion

Introduction

In today's data-driven world, organizations face the challenge of managing and securing vast amounts of data. With the increasing complexity and volume of data, there is a growing need for advanced solutions that can classify and identify potential risks within both structured and unstructured data. Concentric AI is at the forefront of data security posture management, offering a unique approach by applying Large Language Models and artificial intelligence.

What is Concentric AI?

Concentric AI stands out from other vendors in the market by leveraging its proprietary large language models, similar to chat GPT, to autonomously classify data, identify risk, and create policies around permissioning. What sets Concentric AI apart is its ability to handle both structured and unstructured data, including data stored in the cloud, on-premises, and SAS solutions. By using its sophisticated technology, Concentric AI helps organizations locate sensitive data and mitigate data-sharing risks.

How Concentric AI Works

Classification of Data

Concentric AI's large language models analyze data and extract valuable insights. By understanding the context, these models can accurately determine whether a specific data point, such as a nine-digit number, is a social security number, a SKU, or simply a harmless number. This data labeling process is precise and efficient, providing organizations with accurate visibility into their data.

Identification of Risk

The primary objective of Concentric AI is to identify where sensitive data resides and detect instances where it is being overshared. Concentric AI's technology scans numerous connectors and platforms, including ServiceNow, Salesforce, SharePoint, Slack, and Teams. This comprehensive scanning ensures that organizations have full visibility into their data across their entire environment, irrespective of the specific tools or locations.

Remediation and Policy Creation

Once potential risks are identified, Concentric AI offers remediation and policy creation functionalities. Organizations can take appropriate actions to prevent data breaches or unauthorized access. Concentric AI provides effective solutions for off-boarding employees, identifying sensitive data in public folders, and mitigating risks related to data sharing through personal email accounts. By offering accurate and easy-to-use data labeling features, Concentric AI empowers organizations to enforce data security policies seamlessly.

Key Features of Concentric AI

• Application of proprietary large language models for data classification and risk identification
• Support for both structured and unstructured data
• Comprehensive scanning of various connectors and platforms
• Remediation and policy creation functionalities
• Accurate and easy data labeling capabilities

Connectors and Platforms Supported

Concentric AI offers connectors and support for various platforms, including but not limited to:

• ServiceNow
• Salesforce
• SharePoint
• Slack
• Teams

These connectors enable organizations to scan data within these platforms and repositories, ensuring comprehensive data protection and risk mitigation.

The Problem Concentric AI Solves

Organizations often struggle with locating sensitive data and preventing data oversharing. Concentric AI addresses this challenge by leveraging its advanced technology to accurately identify sensitive data and provide visibility into potential risks. Whether it involves off-boarding employees, securing data in public folders, or preventing unauthorized data sharing, Concentric AI offers effective solutions that give organizations peace of mind.

Use Cases in Finance and Financial Services

Finance and financial services organizations deal with large volumes of sensitive data related to their customers and employees. Protecting this data is paramount to ensure regulatory compliance and prevent data breaches. Concentric AI's solutions are particularly beneficial for such organizations, assisting them in identifying and securing sensitive data across both on-premises and cloud environments.

Easy Deployment and Proof of Value

Concentric AI understands the importance of showcasing the value of its product to potential customers. Therefore, it offers an easy deployment process and a proof of value that can be set up in just five minutes. By providing organizations with the opportunity to try the product using their own data, Concentric AI enables them to experience firsthand the accuracy, efficiency, and ease of deployment that sets its technology apart from legacy vendors.

Customer Testimonials

"Concentric AI's large language models have exceeded our expectations. The accuracy and ease of deployment have truly impressed us. We now have complete visibility into our data and can ensure its security across our entire environment." - John Smith, Chief Information Officer, XYZ Corporation

"We were struggling to locate sensitive data within our organization and were concerned about data oversharing. Concentric AI's solution provided us with a comprehensive view of our data and helped us enforce our data security policies seamlessly. It's a Game-changer for us." - Jane Doe, Data Security Manager, ABC Financial Services

Conclusion

Concentric AI is revolutionizing the field of data security posture management by leveraging advanced large language models and artificial intelligence. Its unique approach enables organizations to classify data, identify risks, and create policies around data permissioning. With support for both structured and unstructured data, Concentric AI provides comprehensive visibility into sensitive data and safeguards against data breaches and unauthorized sharing. Its easy deployment and proof of value ensure that organizations can experience the value of Concentric AI's technology firsthand. Embrace Concentric AI to enhance your data security and protect against potential risks.

Highlights

• Concentric AI leverages proprietary large language models for data classification and risk identification.
• The solution supports both structured and unstructured data, ensuring comprehensive data protection.
• Concentric AI scans numerous connectors and platforms, offering organizations full visibility into their data across various tools and locations.
• Remediation and policy creation functionalities enable organizations to prevent data breaches and unauthorized access.
• Easy deployment and proof of value options allow organizations to experience the accuracy and efficiency of Concentric AI's technology.

Frequently Asked Questions

Q: What makes Concentric AI different from other vendors? A: Concentric AI stands out by utilizing its proprietary large language models for data classification and risk identification across both structured and unstructured data.

Q: Which platforms does Concentric AI support? A: Concentric AI supports various platforms, including ServiceNow, Salesforce, SharePoint, Slack, and Teams, among others.

Q: Is Concentric AI suitable for finance and financial services organizations? A: Yes, Concentric AI's solutions are particularly beneficial for finance and financial services organizations dealing with sensitive data related to customers and employees.

Q: Can I try Concentric AI's solution before committing to it? A: Absolutely! Concentric AI offers an easy deployment process and a proof of value option, allowing organizations to experience the value of its technology using their own data.

Q: How does Concentric AI ensure accurate data labeling? A: Concentric AI's large language models analyze the context of the data to accurately label specific data points, such as identifying whether a nine-digit number is a social security number or a harmless numerical value.