Concentric AI vs. Securiti AI

A full-featured DSPM tool delivering both data
governance and data security capabilities

One end-to-end platform built from the ground up delivering discovery, classification, continuous risk monitoring, remediation, and investigation across structured and unstructured data, both on-prem and in the cloud

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

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

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

Browser-based DLP functionality provides capability to mask, redact, or block data being sent from endpoints, whether via email, file share, social media posts, or through GenAI tools

Continuously and autonomously monitors for anomalous user and data activities such as large data transfers or sharing sensitive data with external parties

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

Multiple tiers of managed services available that can include implementation, training, classification, deduplication, policy creation, reporting, and more

Traditionally focused on data discovery for privacy and adherence to compliance frameworks rather
than DSPM

One platform but requires multiple individually licensed modules for additional functionality

Hybrid approach to discovery and classification that combines pattern matching with ML–powered classification and clustering, which utilizes
metadata, governance graphs, and policy context rather than deep semantic understanding of data

Deployments are often complex and require significant support from paid professional services; for hybrid architectures, customers must deploy and manage costly and resource-intensive on-prem scanning pods

No evidence of full GenAI data security capabilities and DLP

Does not offer DLP capabilities

Does not offer native continuous user or activity monitoring for detecting threats such as data exfiltration or anomalous user behavior

Identification of duplicate and near-duplicate data can be slow and require additional infrastructure

Remediation not native in the base platform but performed through separate modules, each of which must be licensed, configured, and deployed

Standard support is generally technical and reactive; advanced support typically delivered through paid professional services