USER & ENTITY
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Gurucul provides Small to Medium Enterprises (SME) with a single-pane-of-glass for end-to-end security operations that includes data aggregation, analytics, investigation, governance, and incident response.
Real-time Advanced Threat Detection
Gurucul User & Entity Behavior Analytics (UEBA) implements the compensating controls needed to mitigate cyber risks quickly with minimal effort:
- Detect known and unknown cyber threats
- Identify risky user behavior
- Conduct incident investigations
- Achieve automated incident response workflows for risk remediation
- Get real-time security alerts with historical context
- Leverage out-of-the-box playbooks to remediate threats
- Detect and enable automated responses to adversarial tactics and techniques defined by the MITRE ATT&CK™ Framework
- Utilize compliance reports on demand: NIST, HIPAA, PCI DSS, ISO 27001, and more
Deployment in Minutes
Executive View of Risk-prioritized Threat Intelligence
Fixed Transparent Pricing
Machine Learning Off-The-Shelf
Leverage over 2000 out-of-the-box machine learning models without being a data scientist – no coding required – customization optional. Take advantage of Gurucul’s 11 years of proven innovation and success:
Act on Risk Prioritized Alerts
Gurucul makes your existing security tools more effective. The platform ingests data feeds from your security and identity sources – firewalls, DLP, AD, cloud services (Office 365, Google Drive, etc.), and more. All we need are transaction logs. We aggregate, link, and analyze your data to provide a 360 degree view of users and entities. Who or what is on the network, what they are doing, what they have access to and what they are doing with that access. We compare that information with baselined behavior patterns, as well as peer group behavior, and look for oddities.
We generate a single unified risk score for every user and entity in your organization using behavior analytics. Why is that important? It’s important because you can focus on the highest risk areas in your organization. This enables you to automatically orchestrate downstream actions and apply automated risk based controls.
Key Use Cases
Prevent Data Exfiltration
Identify data exfiltration and protect intellectual property by ingesting data sources such as DLP and data classification to uncover important data locations, access, and application activity. Risk scoring DLP alerts is a primary benefit of Gurucul’s machine learning because it significantly reduces alert fatigue and prioritizes ‘find-fix’ resources to prevent data breaches.
Predict and Stop Insider Threats / Account Compromise
Gurucul uses a mix of machine learning models out-of-the-box to predict when users are planning to depart so we can stop them from stealing corporate data before they leave. We can also detect compromised accounts based on user and host behavior anomalies.
Eliminate Cloud Security Access Risks
Everyone is using cloud based applications, from all sorts of personal untrusted and unsecure devices. Gurucul provides critical missing information on who is using cloud applications, from where, on what devices, as well as how that use is being conducted in order to detect and stop cyberattacks.
Preempt Network and IoT Threats
The network is your first line of defense, so you need real-time network behavior analytics to spot unknown malware, zero-days, and rogue behavior by insiders. Gurucul detects unusual lateral movement on the network and geo-location anomalies. We can also uncover APT/Stealth attacks.
SC Awards Europe 2020
Recognized for Best Behaviour Analytics/Enterprise Threat Detection
2020 Cyber Defense Infosec Award
Best Product for Insider Threat Prevention
Fortress Cyber Security Award 2020
Recognized for Best Security Analytics