Seamlessly discover and accurately classify sensitive and critical business data across all environments, without predefined rules or regex patterns.
Protect your data and preemptively identify risks and anomalies, ensuring comprehensive security coverage without limitations.
A dedicated team of experts offer regular strategic consultations, ongoing reviews, and a committed partnership in your success initiatives.
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 warn, mask, or block data being sent from endpoints, whether via email, file share, social media posts, or through GenAI tools
Continuously and autonomously monitors data for risk and automates remediation. It will identify excessive permissions, risky sharing, data that’s in the wrong location, unclassified or misclassified data, abnormal behavior in relation to data, such as privilege escalation followed by excessive sensitive data downloads
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
Platform is operationally complex for customers that lack in-house containerization expertise
Relies on regex, patterns, and trainable classifiers for discovery; correlation capability may require storing customer data
Limited support for private cloud deployments
Cannot enforce policies to restrict data sharing in public GenAI tools
Does not offer DLP capabilities
Can only monitor selected data repositories
Remediation not native in the platform but performed through multiple separate modules, each of which must be licensed, configured, and deployed
Core subscription does not include initial deployment or ongoing operational support, such as policy configuration; professional services are available at an hourly rate