Concentric AI

Concentric AI

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Concentric AI is a data security platform that uses AI to discover, classify, and protect sensitive business data across cloud and on-premise systems.

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Concentric AI
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📋 About Concentric AI

Concentric AI is an enterprise data security and governance platform that uses deep learning and large language models to automatically discover and classify sensitive information across an organization's cloud storage, email, collaboration tools, and databases. The concentric ai platform addresses a core gap in traditional data loss prevention (DLP) solutions: accurate, context-aware classification without relying on brittle regex rules or manual tagging. Its Semantic Intelligence engine understands documents the way humans do — recognizing contracts, financial statements, PII, intellectual property, and source code by meaning rather than keywords.

Key Features of Concentric AI

1

Semantic Intelligence Classification

Deep learning models understand documents by meaning, not just keywords or regex patterns. The concentric ai engine recognizes document types like NDAs, financial reports, and source code even when the formatting varies widely across business units. This dramatically reduces false positives compared to legacy DLP, which traditionally triggers floods of noisy alerts. Classification runs continuously as new content is created.

2

Risk Detection and Prioritization

Automatically surfaces oversharing, risky permissions, and misfiled sensitive data with a prioritized severity score. Security teams see the highest-impact issues first rather than drowning in unfiltered alerts. Each risk includes context — who has access, how it was shared, and why it matters — to speed up triage. This shortens mean-time-to-remediation for data exposure incidents.

3

Agentless Deployment

Connects to cloud and SaaS systems through APIs without installing endpoint agents or inline gateways. Organizations can start scanning production environments within hours of initial onboarding. This contrasts sharply with legacy DLP projects that often take months of integration work. Agentless architecture also means no performance impact on users or devices.

4

Autonomous Remediation

Configurable policies automatically fix common issues like removing external share links on sensitive files, quarantining misplaced documents, or notifying file owners. Security teams can set guardrails requiring human approval for higher-risk changes. Autonomous remediation scales security operations without proportional headcount growth. All actions are logged for audit.

5

Compliance Reporting

Purpose-built reports and dashboards for GDPR, HIPAA, CCPA, PCI-DSS, and SOX compliance frameworks. Auditors can be granted view-only access to evidence without exposing underlying sensitive content. Reports can be scheduled and exported for board presentations or regulator submissions. This turns ongoing compliance from a manual chore into an automated output.

6

Unified Data Risk Dashboard

A single pane of glass showing sensitive data inventory, risk posture, and remediation progress across all connected systems. Executives get high-level trends while analysts can drill into individual files or incidents. The dashboard supports role-based access so different teams see appropriate views. Exportable reports satisfy board, executive, and audit requirements.

🎯 Use Cases for Concentric AI

Security and compliance teams use concentric ai to inventory all sensitive data across Microsoft 365, Google Workspace, Box, and other cloud apps, producing a complete picture of where regulated information lives. This is often the first step in meeting GDPR, HIPAA, or CCPA requirements, and it typically surfaces thousands of previously unknown exposures. The automated classification means this inventory stays current rather than becoming stale after a point-in-time audit. Information security teams at financial services, healthcare, and legal firms use the platform to detect and remediate oversharing — for example, confidential contracts shared externally via public links or sensitive customer data in shared drives accessible to the entire company. Concentric highlights these exposures by severity and can automatically strip risky share settings. This reduces insider and accidental data leak risk at scale. IT teams migrating from legacy file servers or SharePoint instances to modern cloud platforms use Concentric to identify sensitive content that needs special handling during the move. Without this step, migrations frequently amplify existing over-permissioning problems. The concentric ai platform flags data that should be archived, deleted, or moved with stricter permissions before it lands in the new environment. Compliance officers preparing for audits use Concentric to generate evidence packages showing which data is sensitive, where it resides, and who has access. Auditors can review findings directly in a controlled view without exposing the underlying sensitive content. This reduces audit preparation from weeks of manual work to a few automated report runs. M&A integration teams use Concentric during due diligence and post-acquisition integration to quickly identify sensitive data assets in the target environment, surface licensing and compliance gaps, and safely merge directories without propagating risky permissions. This speeds up data consolidation while reducing the security risk inherent in combining two companies' data estates.

⚖️ Concentric AI Pros & Cons

Advantages

  • Semantic classification reduces false positives vs. regex-based DLP
  • Agentless deployment means fast time-to-value
  • Unified coverage across Microsoft 365, Google Workspace, Box, and more
  • Automated remediation scales without headcount
  • Purpose-built compliance reporting

Drawbacks

  • Enterprise pricing with no self-serve tier
  • Focused on unstructured data rather than database-level controls
  • Requires mature security processes to fully operationalize
  • Limited on-premise coverage compared to cloud systems

📖 How to Use Concentric AI

1

Request a demo through concentric.ai to scope your environment with a solutions engineer.

2

Connect Concentric to your SaaS and cloud systems via admin API credentials — no endpoint agents required.

3

Allow the platform to run initial classification scans, which typically complete within hours to a few days depending on data volume.

4

Review the prioritized risk dashboard to identify oversharing, misplaced sensitive data, and permission issues.

5

Configure autonomous remediation policies for high-confidence fixes and routing rules for human-approved actions.

6

Set up scheduled compliance reports and invite auditors or executives to view-only dashboards as needed.

Concentric AI FAQ

Traditional DLP relies on regex patterns and keyword matching, which produces many false positives. Concentric uses deep learning to classify documents by meaning, so it accurately identifies contracts, financial statements, or source code across formats without manual tuning.

No. Concentric connects to cloud and SaaS systems via APIs, so deployments are agentless and can begin scanning within hours of onboarding without impacting user devices or network traffic.

Major integrations include Microsoft 365, Google Workspace, Box, Dropbox, Salesforce, Slack, GitHub, OneDrive, SharePoint, and AWS/Azure/GCP storage services, with additional connectors available for enterprise customers.

Yes. Concentric provides purpose-built dashboards and reports for GDPR, HIPAA, CCPA, PCI-DSS, and SOX, making it easier to inventory regulated data, prove compliance during audits, and remediate exposures proactively.

Concentric uses enterprise pricing based on data volume and connected systems. Interested organizations should contact sales for a tailored quote; there is no self-serve or free tier.

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