AI TOOL PROFILE

Concentric AI: Data Security Governance Software

Concentric AI helps businesses manage sensitive data and support compliance with regulations like HIPAA and PCI DSS. It is designed for teams that need to monitor data risk across hybrid cloud and on-premises environments.
  • Security
  • Compliance Management
  • Mid-market companies
  • Enterprise companies
  • Organizations with hybrid cloud and on-premises data
  • Regulated industries requiring HIPAA or PCI DSS compliance

Pricing

Pricing is usage-based. Semantic Intelligence is priced by the amount of structured and unstructured data scanned, while Semantic DLP is priced by the number of users.

At a glance

Best for
Mid-market companies, Enterprise companies, Organizations with hybrid cloud and on-premises data, Regulated industries requiring HIPAA or PCI DSS compliance
Key use cases
Compliance Support, Intellectual Property Protection, GenAI Risk Management, Cloud Data Governance, Unstructured Data Cleanup
Integrations
Snowflake, Amazon S3, Microsoft 365, Salesforce, Confluence
Visit concentricconcentric software interface screenshot

How AI is used

Concentric AI is an agentless, SaaS-based platform designed to discover, categorize, and protect sensitive information. It uses a context-aware AI approach to identify structured and unstructured data, which is intended to be more precise than traditional keyword or regex-based rules.

The platform is built for organizations that handle sensitive data, such as PII, PHI, and intellectual property. It provides visibility into where data is located and who has access, which may help reduce the risk of unauthorized exposure.

Beyond discovery, the platform includes capabilities for Data Security Posture Management (DSPM) and Data Loss Prevention (DLP), specifically addressing risks associated with GenAI tools like Microsoft Copilot, ChatGPT, and Google Gemini. It also supports data deduplication and retention policy enforcement.

Buyers should confirm the platform's integration capabilities with their specific data stores and evaluate how the usage-based pricing model fits their budget based on the volume of data scanned.

Key Features

  • Autonomous Data Discovery

    Uses context-aware AI to find and categorize structured and unstructured data without requiring manual rules or upfront policies.

  • Data Classification

    Assigns labels to business-critical data and can autonomously classify new, semantically similar records.

  • Data Security Posture Management (DSPM)

    Identifies and protects data across cloud and on-premises environments to help monitor security posture.

  • Category-Aware DLP

    Supports the prevention of data leakage through labeling based on data categorization.

  • Data Access Governance

    Monitors permissions and access to help prevent overpermissioning and unauthorized data exposure.

  • GenAI Security

    Provides visibility and control over sensitive data flowing into AI tools like ChatGPT, Claude, and Microsoft Copilot.

  • Data Deduplication and Retention

    Identifies duplicate data records and helps set data retention policies.

Use Cases

  • Compliance Support

    Identifying and protecting PHI and PCI data to support HIPAA and PCI DSS regulatory requirements.

  • Intellectual Property Protection

    Discovering and securing trade secrets, product designs, and research documents across various data sources.

  • GenAI Risk Management

    Monitoring prompt activity and helping prevent sensitive corporate data from being shared with AI tools.

  • Cloud Data Governance

    Managing permissions and identifying IAM misconfigurations in environments like Amazon S3.

  • Unstructured Data Cleanup

    Finding duplicate files and managing data retention to help organize storage environments.

Integrations

  • Snowflake
  • Amazon S3
  • Microsoft 365
  • Salesforce
  • Confluence
  • Google Workspace
  • NetApp
  • Microsoft Exchange
  • Slack
  • Amazon RDS
  • Jira
  • Dropbox
  • Microsoft SQL Server
  • Azure Files
  • Azure SQL
  • Google BigQuery
  • Google Cloud Storage
  • Microsoft SharePoint
  • Microsoft Teams
  • OneDrive
  • Oracle DB
  • PostgreSQL

FAQ

What is Concentric AI used for?

It is used to automatically discover, categorize, monitor, and protect sensitive data across cloud and on-premises environments to help reduce risk and support compliance.

How is Concentric AI deployed?

The platform is agentless and SaaS-based. It connects to cloud repositories via API and to on-premises repositories using a virtual proxy.

How does the pricing work for Concentric AI?

Pricing depends on the product: Semantic Intelligence is based on the volume of data scanned, and Semantic DLP is based on the number of users.

Source category: Security

Source subcategory: Compliance Management

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