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Concentric

by Concentric · Since 2018
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Active1+ countriesCloud
Quick facts
VendorConcentric
Year launched2018
StatusActive
Location3031 Tisch Way, Suite 306, San Jose, California 95128, US
Countries served1+
Languages9
Integrations10+
Free tierN/A
Free trialN/A
Contact salesYES

About Concentric

Concentric is a data security governance platform from Concentric that provides autonomous data discovery, classification, risk monitoring, and remediation with Concentric AI. It includes features such as easy deployment, intelligent data security, and support for on-premises, hybrid cloud, and various infrastructures like Snowflake and Amazon S3, so businesses can protect all their data efficiently. The platform is designed for organizations looking to secure their data assets while managing compliance and risk effectively. Concentric’s end-to-end solution simplifies the security process, making it accessible for teams of all sizes. Key capabilities: autonomous data discovery risk monitoring classification remediation multi-infrastructure support Best for: organizations seeking comprehensive data security and compliance management solutions.

Concentric by Concentric is an advanced deep learning-powered platform designed to autonomously identify, assess, and protect sensitive data within enterprise environments. At its core, Concentric applies AI and machine learning models to classify, monitor, and secure unstructured data—including files, documents, emails, and communications—across an organization’s network. Its primary purpose is to provide deep visibility into data risk, automatically highlight exposure and policy violations, and ensure compliance with regulatory requirements such as GDPR, HIPAA, and CCPA. Key features include AI-driven data discovery, business context-aware classification, continuous risk monitoring, and autonomous remediation suggestions. Performance and reliability are significant strengths of the platform. Concentric can scale across petabytes of unstructured data, indexing and analyzing millions of files with minimal latency. Thanks to its cloud-native architecture and optimized AI models, it delivers fast insights without burdening the network or disrupting user workflows. Users have reported high detection accuracy for misclassified and at-risk documents, with the software effectively reducing manual auditing tasks by up to 80%. Integration and compatibility are also impressive.

Pros & Cons

Pros
  • Secures data at rest, in motion, and within GenAI applications.
  • Streamlines foundational data security tasks, reducing manual effort.
  • Offers a deeper understanding of data content for more accurate security.
  • Covers popular platforms like Office 365, Slack, Snowflake, and Google Workspace.
  • Aims to make intelligent data security "easy" for users.
Cons
  • setting up comprehensive data governance across diverse platforms can still be complex initially.
  • Effectiveness hinges on the accuracy of its AI for discovery
  • While listed as covered, the depth of integration and specific features for each platform might vary.
  • Advanced, comprehensive security solutions like this can be a significant investment for businesses.
  • Securing GenAI applications is a newer area, and the effectiveness in rapidly evolving AI environments may need continuous validation.

Features

Key features

Intelligent Data Security Made Easy

This highlights the platform's core value proposition – simplifying complex data security challenges. It emphasizes ease of use while delivering robust security.

Governance for Data at Rest, in Motion, and GenAI Applications

This offers comprehensive coverage across different states and types of data, including emerging GenAI applications, which is a significant differentiator.

Automate Data Discovery and Classification

This feature streamlines the foundational steps of data security by automatically identifying and categorizing sensitive information, reducing manual effort and errors.

Semantic Intelligence (Test Drive)

While presented as a "test drive," the underlying "Semantic Intelligence" is a unique capability for understanding data context and meaning, leading to more accurate security decisions.

Data Security Posture Management (DSPM)

This feature allows organizations to assess and improve their overall data security posture, providing a holistic view of risks and compliance.

Additional features

Data Security Posture Management (DSPM)

Helps organizations evaluate and enhance their data security framework.

Data Access Governance

Manages and controls who has access to specific data.

Microsoft Copilot (Solution)

Suggests integration or specialized solutions for Microsoft Copilot environments, likely related to data security within that context.

Data Detection and Response

Identifies and responds to data-related threats and incidents.

DLP Solution (Data Loss Prevention)

Prevents sensitive data from leaving the organization's control.

Data Classification

Categorizes data based on its sensitivity and importance.

Jira (Coverage)

Integrates with or provides security for data within Jira instances.

Microsoft Office 365 (Coverage)

Secures data within the Microsoft Office 365 ecosystem.

Slack (Coverage)

Provides data security for information shared and stored in Slack.

Snowflake (Coverage)

Offers security for data stored in Snowflake data warehouses.

Dropbox (Coverage)

Secures data synchronized and stored in Dropbox.

Microsoft SQL Server (Coverage)

Protects data residing in Microsoft SQL Server databases.

Google Workspace (Coverage)

Extends data security to Google Workspace applications and data.

Pricing

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Countries & Languages

1
Countries served
9
Interface languages
12
Billing currencies

Available in

All Countries.

Interface languages

EnglishSpanishFrenchGermanItalianPortugueseChineseJapaneseKorean

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇨🇦CAD🇦🇺AUD🇨🇭CHF🇨🇳CNY🇸🇪SEK🇮🇳INR🇰🇷KRW🇲🇽MXN

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