We Invented UEBA

UEBA That Catches Anomalous Behavior Before the Breach

Baseline normal, detect deviation, and stop compromised accounts and malicious insiders before damage is done.

Detect Sophisticated
& Advanced Threats

5000+ Machine Learning Models
70% Fewer False Positives

Agentic AI works 24/7 across the threat lifecycle—triaging, escalating, and responding—while keeping every decision transparent. Mundane work is automated, and critical thinking stays in human hands. Analysts gain the benefits of auto-triage, enriched investigations, adaptive response playbooks, and auto-generated reports.

The result: Burnout fades as your team operates at the top of their game, with investigation times reduced by 58% and MTTR by 83%

Prioritize Real Risk Over Anomalies

0-100 Risk Prioritization
58% Faster investigations

The largest library of ML detection models put behavior into context, scoring threats by risk and elevating both known and unknown threats. From zero-day threats, data exfiltration, and identity-based attacks—one unified AI SOC platform expands your detection reach without drowning you in alerts.

The result: 70% fewer false positives, deeper context across users, entities, and identities, and faster, smarter prioritization of what actually matters for your business. 

Get Contextualized Evidence Fast

With Gurucul’s patented Link Chain Analysis, threat data and context are automatically stitched together into a complete case of evidence. Analysts gain ultimate risk clarity from a single interface, enabling quick, confident responses to real threats.

Go beyond fragmented alerts with a unified view that connects the dots across users, entities, and events. Gurucul transforms raw signals into actionable intelligence, reducing investigation time and ensuring analysts focus on what truly matters.

Open Choice of Big Data

Gurucul UEBA gives you complete data independence. Ingest events at no cost, without being forced into a proprietary data lake. Use your existing big data environment to reduce costs or leverage a free Hadoop data lake, if needed.

Unlike rigid platforms, Gurucul empowers you to scale on your terms, integrating seamlessly with your current infrastructure. This flexibility ensures faster deployment, lower overhead, and freedom to innovate without hidden constraints

Unified, Native and Modular

Our Next-Gen SIEM is completely built in-house, no bolt-ons and completely modular. An open architecture gives you the flexibility of choice—replace your SIEM or augment your stack.

Next-Gen SIEM Use Cases

Subtle shifts in user behavior often signal insider risk. Gurucul UEBA establishes a baseline of normal activity and correlates deviations with surrounding telemetry, helping analysts validate whether unusual actions represent genuine threats or harmless anomalies.

Compromised endpoints can masquerade as legitimate activity. Gurucul UEBA tracks behavioral deviations across devices and enriches them with related data sources, enabling faster identification of compromised hosts and reducing time to containment.

Attackers frequently attempt to move laterally to expand access. Gurucul UEBA flags connections that deviate from normal patterns, contextualizes the risk, and provides actionable insights so security teams can stop lateral movement before attackers gain persistence.

Security analysts are frequently overwhelmed by irrelevant or low-value events that trigger unnecessary alerts. By filtering noise upstream with custom regexes or logic, DPM ensures that only high-fidelity data reaches the detection engines. This sharpens overall threat detection capability and significantly reduces the manual effort required to triage false positives.

Sensitive data leaving the organization is a critical risk. Gurucul UEBA identifies unauthorized attempts to move, copy, or transmit data outside approved channels, correlating anomalies with contextual signals to block exfiltration before information is lost.

Privileged accounts are prime targets for attackers. Gurucul UEBA continuously monitors credential usage, highlighting suspicious privilege escalations or dormant account activations. Real-time risk scoring ensures compromised identities are prioritized for immediate response.

Real Results From Bleeding Edge Customers 

Global Sportswear & Apparel Company

From Securonix to Gurucul: A Scalable Insider Threat Program That Cut False Positives, Protected IP, and Accelerated Response Times.

International Pharmaceutical Company

This international pharmaceutical company wanted to prevent data exfiltration, account compromise, and insider threats. They chose Gurucul UEBA to manage the insider threat program, replacing Exabeam while augmenting Splunk.

Healthcare Insurer (Fortune 50)

Gurucul enabled this Fortune 50 healthcare insurer to rapidly detect and respond to insider threats, enforce geo-compliance policies, uncover repeat data exfiltration attempts, and streamline investigations without deploying endpoint agents.

User and Entity Behavior Analytics (UEBA) Resources

Insider Risk Report 2026

Insider incidents have doubled—Insider Risk Report 2026 reveals the strategies organizations need now.

Next Gen SIEM – Buyers Guide

This eBook is designed to guide SIEM buyers through the complexities of selecting the right solution for today’s security challenges. It outlines the key capabilities and considerations that matter most when evaluating modern SIEM platforms, including flexibility, scalability, AI-amplified threat detection, integration, and operational efficiency.

The Definitive Guide to Data Pipeline Management

Data Pipeline Management buyers guide for security professionals that want to take back control of their security data and budget with intelligent, AI-powered data optimization.