| What it sells |
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| What it sells | - Data Classification[1]Finds and automatically classifies sensitive data such as PII, PCI, PHI and intellectual property using rules and tagging.
- Data Access Governance[1]Checks who can access each data item, flags excessive or outdated permissions, and applies zero-trust and least-privilege principles.
- Audit Trail[1]Monitors access, changes and data use to support incident investigation and generate evidence of risky behavior.
- Selective Remediation[1]Revokes permissions, triggers workflows, generates alerts or runs actions through a customer's SIEM, SOAR and DLP tools.
- AI Risk Analytics[1]Detects shadow AI, sensitive data in prompts, unauthorized agents and anomalous behavior from users, bots and non-human identities.
| - Discovery & ClassificationFinds and classifies sensitive data across data center, cloud, SaaS and code. It also inventories the AI models and agents that reach that data.
- DSPM, AI SPM, Agentic SPMPosture management across data, AI and the agents acting on both. It surfaces exposures and guides the fix.
- Unstructured Data MinimizationClassifies and minimizes files, email and chat. Flagged content moves through review to archive or purge.
- Context engineering for AI AgentsCatalogs data and metadata and controls what each AI agent can see.
- AgentIQ[9]Runs a data and AI security program from a prompt or an agent.
- Data & AI sovereigntyMaps data residency and cross-border flows and applies localization policy. The platform can run in-country or air-gapped.
| - Data Security Posture Management[3]Data Security Posture Management is named on the platform menu.
- Data Detection and Response[3]Data Detection and Response is named on the platform menu.
- AI Data Guardrails[3]AI Data Guardrails is named on the platform menu.
- Shadow AI Detection[3]Shadow AI Detection is named on the platform menu.
- AI Data Loss Prevention[3]AI Data Loss Prevention is named on the platform menu.
| - Polymer DSPMA platform that identifies, classifies and monitors sensitive data across SaaS and AI tools in motion and at rest.
- Polymer DLP for AIData loss prevention controls aimed at risks introduced by AI tools and agents handling company data.
- Polymer SecureRAG[1]A tool described as AI-powered data security for deployment of LLM agents in enterprises.
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| Headquarters |
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| Headquarters | Not stated on its pages | New York, United States | San Jose, United States[2] | Not stated on its pages |
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| Founded |
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| Founded | Not stated on its pages | 2016[4] | Not stated on its pages | Not stated on its pages |
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| Ownership and funding |
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| Ownership and funding | Not stated on its pages | Privately held[4][14][15] | Privately held[2][6] | Not stated on its pages |
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| Named customers |
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| Named customers | Not stated on its pages | Not stated on its pages | Not stated on its pages | Not stated on its pages |
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| Recent news |
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| Recent news | Not stated on its pages | Not stated on its pages | - August 18, 2026Concentric AI launched a vision model feature in its Semantic Intelligence platform to detect sensitive documents with unique visual signatures, including passports.[5]
- February 24, 2026Concentric AI signed a distribution agreement with Sektor as part of its expansion into Australia and New Zealand.[4]
| Not stated on its pages |
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| G2 and Gartner Peer Insights |
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| G2 and Gartner Peer Insights | - G2: Not stated on its pages
- Gartner Peer Insights: Not stated on its pages
| | - G2: Not stated on its pages
- Gartner Peer Insights: listed, seen October 24, 2026[6]
| - G2: Not stated on its pages
- Gartner Peer Insights: Not stated on its pages
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| Who it fits |
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| Who it fits | Not written yet | From its own pages, the company sells mainly to organizations that hold sensitive data across the data center, cloud, SaaS and code and want to govern the AI models and agents that reach it. The AgentIQ page speaks to organizations running agents they buy, build or bring. The unstructured data pages address organizations with large volumes of files, email and chat. The sovereignty page describes in-country and fully air-gapped operation for organizations that need to keep data and AI inside a chosen boundary. A separate page addresses teams governing a lakehouse environment. | Not written yet | Not written yet |
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| Last verified |
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| Last verified | October 23, 2026 | September 27, 2026 | September 27, 2026 | October 28, 2026 |
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