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BigID Insider Risk vs DTEX Insider Risk Management

BigID Insider Risk

bigid.com

DTEX Insider Risk Management

dtex.ai

Side by side

FigureBigID Insider RiskDTEX Insider Risk Management
Price from——
Free plan——
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYes—
Self-hostedYes—
Plans published31
Spec score · Insider Risk Management Software7.7 (#5)7.3 (#12)
DeploymentThe pricing page lists multi-tenant SaaS, single-tenant isolation, self-hosting in a customer cloud or data center, and fully air-gapped deployment.DTEX says lightweight forwarders deploy in minutes and collect 3–5 MB of data per user per day; the platform page also describes activity collection across endpoints and servers.
PurposeBigID helps security teams detect, investigate, and reduce insider risk by connecting sensitive data activity with identity, access permissions, ownership, and business impact.The product combines behavioral context, user activity monitoring, and visibility into how people interact with data and AI to surface intent and prevent insider-driven breaches.
SupportPricing describes support tiers matched to program criticality, guided onboarding, and professional services for complex or regulated rollouts.DTEX offers i³ investigative services to help organizations identify, analyze, and respond to security incidents and insider threats.

Plans

BigID Insider Risk

  • BusinessPriced on request
  • EnterprisePriced on request
  • ExpressPriced on request

BigID Insider Risk pricing →

DTEX Insider Risk Management

  • DTEX Insider Risk ManagementPriced on request

DTEX Insider Risk Management pricing →

In their own words

BigID Insider Risk

BigID Insider Risk has no write-up on Specifiction yet; its figures are above.

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DTEX Insider Risk Management

DTEX Insider Risk Management helps enterprise security teams examine user behavior and activity around data and AI to identify potential insider-driven breaches. It offers preconfigured and customizable behavior indicators, user baselines, anomaly detection, and risk scoring. Investigations can draw on MITRE ATT&CK-aligned profiling and endpoint telemetry such as event logs, registry changes, and credential usage to examine signs including lateral movement and privilege escalation. Preconfigured DLP patterns flag risky behavior, while data lineage tracks file interactions and changes. A threat-hunting engine supports searches across insider data using an open query language and customizable visualizations. The platform covers users, endpoints, servers, applications, data, and AI activity across Linux, macOS, Windows, and web. DTEX describes pseudonymization that masks personal identifiers and can be reversed for escalated investigations. It reports metadata collection of about 5 MB per user per day, with deployment materials giving a 3–5 MB range. Pricing is available on request.

Visit dtex.ai