Concentric AI vs. Cyera

Hosted in Concentric AI’s cloud or in the customer’s private cloud

Broad coverage and support across cloud and on-premises environments

Full integration with Microsoft 365 that includes SharePoint, OneDrive, and Exchange

Context-aware AI discovers and categorizes structured and unstructured data; each unstructured data record is scanned in its entirety and with high accuracy for detecting PII/PCI/PHI, IP, and other business-critical data

Supports Microsoft MIP labels, Google labels, custom metadata labels, retention labels to implement and enforce data retention policies

Uses data context to dynamically monitor and protect data across multiple GenAI use cases including GenAI assistants such as Copilot, public GenAI, and proprietary GenAI workloads

Users can set and enforce data retention policies, (e.g., review, archive, or delete) directly in the platform to ensure regulatory compliance

Identifies duplicate and near duplicate data, which can be deleted or archived within the platform

Automated remediation actions performed natively in the platform, including classification/labeling, moving/deleting/copying data, or defining permissions

Offers fully automated risk and regulatory compliance reports

No support for private cloud deployments

Limited coverage, support, and scalability for on-premises data repositories

No integration with Microsoft Exchange, which means no visibility into data exfiltration via email

Requires the user to write regular expressions to locate sensitive data; uses data sampling and extrapolates information from these results

Cannot apply MIP labels to data hosted on-premises

No evidence of GenAI capability beyond a product announcement

Cannot natively apply data retention labels to specific categories of data

Data sampling approach to discovery means they cannot tell when records are duplicate

Remediation workflows are generally more limited and manual, relies on third-party tools to execute

Reports must be created manually by Cyera’s customer success team