Scoring method
How the score is calculated
The score uses the category-specific buying dimensions below and their displayed weights.
This page is based on public product information, official sources, structured feature data, and multi-model AI evaluation. It is not a hands-on lab test unless explicitly stated. Confidence percentages describe our research indicators, not the probability that a claim is true or a measured accuracy rate.
Channel and data coverage18%
83Secures data transfers across applications, browsers, network shares, clipboard, printing, and generative-AI tools, but does not provide native coverage for cloud-hosted SaaS repositories.
Detection and classification accuracy18%
78The detection stack combines dictionaries, regular expressions, contextual rules, predefined content, thresholds, N-gram source-code detection, endpoint OCR, and Deep Packet Inspection prerequisites for generative-AI controls, which supports nuanced detection. The score is restrained because the facts do not provide measured accuracy results and also note the need for tuning to reduce false positives.
Enforcement controls16%
85The product supports blocking, reporting, block-and-remediate actions, user justification, offline enforcement, granular Device Control, and FIPS-validated Enforced Encryption for managed USB storage, which provides a strong enforcement toolkit at the endpoint. The score remains below the maximum because the strongest encryption capability is tied to the managed USB use case and Enforced Encryption is optional.
Incident operations14%
73Detailed alerting, export workflows, and eDiscovery remediation actions support incident operations by helping teams investigate and act on endpoint findings. The score is moderate because the facts do not establish native case management, workflow automation depth, or broad incident-response integrations.
Governance and integrations12%
68Central administration, generic SIEM forwarding, and deployment support for Active Directory, Jamf, and Microsoft Intune aid control-plane operations, without establishing broad identity or data-access governance suites.
User and risk context12%
66User justification and context-aware content detection can help associate a policy event with the action and content that triggered it. The score is moderate because the facts do not establish broader user-risk scoring, identity-risk correlation, or longitudinal user behavior analytics.
Support and total cost10%
54The product is sold through a customized quote with no public numeric subscription, module, support, implementation, or infrastructure price, and customer-managed cloud deployments may add buyer-managed cloud charges outside the license. The score is below average because buyers must budget through a quote process and confirm all module, support, and deployment costs before they can estimate total cost.