DTEX Insider Risk Management vs Gurucul UEBA
DTEX Insider Risk Management
dtex.aiGurucul UEBA
gurucul.comSide by side
| Figure | DTEX Insider Risk Management | Gurucul UEBA |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · User and Entity Behavior Analytics Software | 7.5 (#6) | 7.3 (#11) |
| 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. | Gurucul describes platform deployment options including on-premises, hybrid, SaaS, private cloud, GovCloud, and multi-cloud. |
| Integrations | The integration page describes connections to EDR, cloud security, data classification, SIEM/SOAR and case management, productivity apps including Google Workspace and Microsoft 365, HR systems, and data platforms. | The platform integration catalog lists connectors for IAM, IGA, and PAM sources, plus SIEMs including Splunk, Microsoft Sentinel, and IBM QRadar. |
| Purpose | 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. | UEBA uses machine learning to learn normal user, device, and application behavior and detect unusual activity that may indicate compromise or malicious behavior. |
| Support | DTEX offers i³ investigative services to help organizations identify, analyze, and respond to security incidents and insider threats. | The product page links to Gurucul Support and offers a request-a-demo contact path. |
Plans
DTEX Insider Risk Management
- DTEX Insider Risk ManagementPriced on request
In their own words
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.
Gurucul UEBA
Gurucul UEBA is a user and entity behavior analytics product for detecting unusual activity across users, devices, applications, servers, networks and IoT devices. Machine-learning models learn normal behavior and identify activity that may indicate compromise or malicious behavior. Gurucul describes more than 5,000 models and reports 70% fewer false positives. Entities receive risk-prioritization scores from 0 to 100, helping security teams order investigations of known and unknown threats. Link Chain Analysis connects AI-agent, user and entity activity into contextual evidence cases. Listed use cases include insider risk, host and device compromise, lateral movement, data exfiltration, and account or credential compromise. Integrations cover IAM, IGA and PAM sources and SIEMs including Splunk, Microsoft Sentinel and IBM QRadar. Deployment options include self-hosted, web, on-premises, hybrid, SaaS, private cloud, GovCloud and multi-cloud. Pricing is on request.