BigID Insider Risk vs DTEX Insider Risk Management
BigID Insider Risk
bigid.comDTEX Insider Risk Management
dtex.aiSide by side
| Figure | BigID Insider Risk | DTEX Insider Risk Management |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | — |
| Self-hosted | Yes | — |
| Plans published | 3 | 1 |
| Spec score · Insider Risk Management Software | 7.7 (#5) | 7.3 (#12) |
| Deployment | The 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. |
| Purpose | BigID 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. |
| Support | Pricing 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
DTEX Insider Risk Management
- DTEX Insider Risk ManagementPriced on request
In their own words
BigID Insider Risk
BigID Insider Risk has no write-up on Specifiction yet; its figures are above.
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.