Concentric AI offers a Data Security Governance Platform that utilizes autonomous data discovery, classification, and risk monitoring to protect sensitive information across various data sources. The platform addresses the challenges of identifying and safeguarding personally identifiable information, personal health information, payment card information, and intellectual property, ensuring compliance with relevant regulations.
Funding
$65.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
HPTTFounders
Product
Problem
Organizations struggle to identify and protect sensitive data, including personally identifiable information (PII), personal health information (PHI), payment card information (PCI), and intellectual property (IP), across diverse data sources. This lack of visibility increases the risk of data breaches and non-compliance with regulations like HIPAA and PCI DSS.
Solution
Concentric AI offers a Data Security Governance Platform that autonomously discovers, classifies, and monitors sensitive data to mitigate risk. The platform uses an agentless deployment to quickly identify the location, type, and risk associated with sensitive information across various data repositories. By providing a centralized view of data risk, Concentric AI enables organizations to apply consistent data protection measures and ensure compliance. The platform's capabilities extend to identifying over-permissioning and governing access to sensitive data within applications like Microsoft Copilot.
Target Audience
The primary target audience includes security leaders, CISOs, and IT professionals in organizations that handle sensitive data and must comply with data protection regulations.
Features
- Autonomous data discovery and classification for PII, PHI, PCI, and IP
- Agentless deployment for rapid integration without disrupting operations
- Centralized remediation to apply consistent data protection measures
- Data risk identification to pinpoint vulnerabilities and compliance gaps
- Data security posture management to protect on-premises and cloud data
- Privacy data protection to safeguard sensitive and regulated information
- Data access governance to prevent over-permissioning
- API-based integration with various data sources and systems