Concentric AI develops data security governance software for organizations that need to discover, understand, and protect sensitive information across cloud and on-prem environments. Its Semantic Intelligence™ platform uses context-aware AI to classify structured and unstructured data, surface exposure and access risk, and automate remediation without relying on regex-heavy policies or agent-based deployment.
Concentric AI positions its platform around securing data at rest, data in motion, and enterprise AI usage. The company supports safe AI adoption, compliance workflows, and access governance while helping customers reduce oversharing, overpermissioning, and duplicate data. Its delivery model combines SaaS software, private scanning options for regulated environments, and co-managed services.
Offerings, Capabilities, and Integrations
Concentric AI’s platform is built around semantic understanding of data rather than simple pattern matching. That enables it to discover business-critical content, monitor access and activity, apply classifications, enforce governance policies, and trigger remediation across data security posture management, privacy, retention, DLP, and AI-security use cases. The platform is agentless and API-based, with coverage for cloud, hybrid, and on-prem deployments.
Concentric AI integrates with a broad set of enterprise repositories, collaboration platforms, and data stores. Verified integrations include Amazon S3, Amazon RDS, Amazon Redshift, Snowflake, Microsoft 365, SharePoint, Teams, OneDrive, Salesforce, ServiceNow, Slack, Confluence, NetApp ONTAP, MongoDB, Google Cloud Storage, Google Workspace, Azure Files, and Azure SQL. It also supports adjacent security and governance workflows through offerings such as Microsoft Purview, Wiz, and ChatGPT Enterprise compliance integration.
Products and Services
- Semantic Intelligence™: Concentric AI’s core data security governance platform, using context-aware AI to discover, categorize, monitor, and protect structured and unstructured data across cloud and on-prem repositories.
- Semantic DLP: Category-aware data loss prevention for data in motion and browser-based AI use, designed to help stop sensitive data leakage with contextual understanding rather than pattern matching alone.
- Data Security for AI: AI governance capabilities for enterprise AI tools such as Microsoft Copilot, ChatGPT, Claude, Google Gemini, and Perplexity, with visibility into activity, sensitive data exposure, and policy violations.
- Data Security Posture Management: DSPM capabilities that identify and protect sensitive cloud and on-prem data, assess exposure, and support centralized remediation.
- Data Access Governance: Zero-trust-oriented data access governance that shows who can access sensitive data, flags oversharing and excessive permissions, and helps enforce least-privilege controls.
- Data Privacy and Compliance: Automated privacy and compliance capabilities for regulated data, including control mapping, monitoring, retention, deletion support, and audit-readiness workflows.
- Data Classification: AI-driven classification and labeling for business-critical, regulated, and sensitive structured and unstructured data.
- Data Detection and Response: Detects risky data activity such as abnormal sharing, downloads, access violations, and insider-risk patterns, then supports remediation and investigation.
- Data Deduplication and Data Retention: Finds duplicate and near-duplicate data, supports retention policies and lifecycle management, and helps reduce storage, risk, and compliance overhead.
- Private Scan Manager: A customer-controlled deployment option that processes scans inside private or regulated environments to support data sovereignty and compliance requirements.
- User Behavior Data Analytics (UBDA): Behavior analytics within Semantic Intelligence™ that baselines user activity and identifies abnormal interactions with sensitive data.
Target Customers
Concentric AI serves organizations that need tighter control over sensitive structured and unstructured data spread across cloud, hybrid, and on-prem environments. Typical buyers include security leadership, data governance teams, privacy and compliance functions, and enterprises preparing to expand use of GenAI tools without increasing data exposure.
The platform is especially relevant for regulated and data-intensive sectors. Concentric AI states it works with organizations across financial services, healthcare, technology, insurance, energy, education, and government, and its customer examples also point to public health, higher education, manufacturing, and intellectual-property-heavy environments. It is well suited to teams responsible for protecting PII, PHI, PCI, legal records, and other business-critical content.
Cloud Integrations and Marketplace
- AWS Marketplace: Concentric AI has a verified AWS Marketplace listing for its SaaS offering. The company also supports AWS data sources such as Amazon S3, Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena, and Amazon FSx, and offers private scanning options for AWS environments, including AWS GovCloud.
- Microsoft Azure Marketplace: Concentric AI has a verified Microsoft Azure Marketplace listing for Data Access Governance. Its broader Azure support includes Azure Files, Azure SQL, Azure Data Lake, and private Azure deployment through Private Scan Manager.
- Google Cloud: Concentric AI has verified Google Cloud integrations, including Google Cloud Storage, Google BigQuery, Google Cloud SQL, and Google Workspace, extending its coverage across major Google Cloud data repositories and collaboration environments.
Key People
- Karthik Krishnan: CEO and Co-Founder
- Dr. Madhu Shashanka: Chief Data Scientist and Co-Founder
- Lane Sullivan: Chief Information Security and Strategy Officer
- Abhishek Das: VP of Engineering
- Dhruv Jain: VP of Product
- Uday Srinivasan: VP of Technology
- Jon Eller: VP of Sales
- Cyrus Tehrani: VP of Marketing
- Dan Broussard: VP of Channels & Alliances
- Naveen Bachkethi: VP of Engineering, DLP
- Tejaswi Khansaheb: Head of Financial Planning & Analysis
Key Facts
- Headquarters: San Jose, California, United States
- Employees: 201-500
- Annual Revenue: <$50M
- Parent Company: None
- Subsidiaries: Swift Security; Acante
- Publicly Listed: Private
Analyst Recognitions
- Gartner: 2025 Gartner Market Guide for Data Security Posture Management – Representative Vendor. 2025 Gartner Market Guide for AI Trust, Risk and Security Management – Representative Vendor for Information Governance.
- Forrester: The Forrester Sensitive Data Discovery and Classification Solutions Landscape, Q4 2025 – Included Vendor.
