Concentric AI logo

Concentric AI

Introduction:Discover, classify, govern, and protect sensitive data across hybrid environments while reducing risk from unauthorized access and AI usage.
Monthly Visitors:12.0K
Domain Rating:Domain Rating by Ahrefs
Concentric AI screenshot
Concentric AI Product Information

What is Concentric AI?

Concentric AI is a data security governance platform for discovering, classifying, monitoring, and protecting sensitive business information. Its Semantic Intelligence technology uses machine learning and contextual analysis to identify business-critical data across structured and unstructured sources. The platform serves enterprise security, privacy, compliance, and data governance teams managing cloud, on-premises, email, messaging, and AI application data. It helps organizations detect risky access, excessive permissions, data exposure, and policy violations, then automate remediation. Concentric AI differentiates itself through context-aware discovery designed to reduce dependence on complex rules, manual tagging, and regex-based classification.

How to use Concentric AI?

  1. 1. Request a demo and discuss your organization’s data sources, AI applications, and governance requirements. 2. Connect supported cloud, on-premises, messaging, email, and structured data repositories so Concentric AI can discover and classify sensitive information. 3. Review prioritized risks, configure governance policies, and apply automated or guided remediation to protect exposed data.

Concentric AI's Core Features

  • Autonomous Data Discovery: Locate sensitive and business-critical information across structured, unstructured, cloud, and on-premises repositories.

  • Context-Aware Data Classification: Categorize data by meaning and business context to improve labeling accuracy and reduce manual configuration.

  • Risk Monitoring: Continuously identify exposure caused by excessive permissions, incorrect locations, misclassification, and risky sharing.

  • Automated Remediation: Apply policy-driven actions that reduce data exposure and help security teams resolve prioritized risks efficiently.

  • Category-Aware DLP: Use precise data categorization to support targeted leakage prevention instead of broad, disruptive controls.

  • Data Access Governance: Govern who can access sensitive information and enforce access policies aligned with security and compliance requirements.

  • AI Application Governance: Monitor sensitive data flowing into supported generative AI applications and strengthen controls over prompts and responses.

  • Data Privacy and Compliance: Discover personal and regulated information to support privacy protection, compliance reviews, and governance programs.

  • Hybrid Environment Coverage: Protect information across cloud services, on-premises systems, email, messaging platforms, and enterprise data stores.

  • Data Deduplication and Retention: Identify duplicate content and support retention policy enforcement to reduce unnecessary data risk.

Concentric AI's Use Cases

  • #1

    Enterprise security teams discovering sensitive PII, PHI, PCI, intellectual property, and confidential files across hybrid environments

  • #2

    Compliance teams identifying exposed or misclassified data to support privacy regulations and internal governance policies

  • #3

    IT administrators reducing excessive permissions and risky access to business-critical documents and databases

  • #4

    Organizations monitoring prompts, responses, and sensitive data exposure across ChatGPT Enterprise, Claude, Copilot, Gemini, and Perplexity workflows

  • #5

    Data governance teams applying category-aware DLP labels without maintaining large collections of manual rules or regex patterns

  • #6

    Security operations teams prioritizing data risks and accelerating investigations through contextual risk monitoring

  • #7

    Infrastructure teams finding duplicate data and enforcing retention policies across cloud and on-premises repositories

  • #8

    Microsoft Purview users adding AI-driven data discovery, classification, and risk context to existing information protection workflows

Frequently Asked Questions

Analytics of Concentric AI

Monthly Visits
12.0K
Avg. Visit Duration
0:17
Pages per Visit
1.38
Bounce Rate
51.26%
Global Rank
2,928,442
Domain Rating
69

Monthly Visits Trend: Jun 2025 - Oct 2026

Traffic Sources

Direct
28.20%
SearchOrganic
23.31%
SearchPaid
17.93%
Referrals
14.90%
SocialOrganic
9.63%
DisplayAds
2.25%
Mail
1.31%
Affiliate
1.00%
SocialPaid
0.83%
GenAi
0.64%

Top Regions

RegionTraffic Share
United States28.74%
India21.02%
Malaysia11.77%
United Kingdom11.66%
Canada7.82%

Top Keywords

KeywordTrafficCPC
concentric ai720$1.37
perplexity4.6M$0.77
seguro mandar documentos para o claude350--
concentric40.0K$1.52
data at rest, data in motion230--

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