Find out in this report how the two User Entity Behavior Analytics (UEBA) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
| Product | Market Share (%) |
|---|---|
| Aruba IntroSpect | 0.9% |
| Exabeam | 9.9% |
| IBM Security QRadar | 9.0% |
| Other | 80.2% |
| Product | Market Share (%) |
|---|---|
| Vectra AI | 8.0% |
| Fortinet FortiGate | 16.6% |
| Darktrace | 13.8% |
| Other | 61.599999999999994% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 10 |
| Large Enterprise | 27 |
Aruba IntroSpect is a User Behavior Analytics (UEBA) tool that uses supervised and unsupervised machine learning to automatically baseline user and device behavior while actively looking for anomalous activity that may indicate a threat. The solution detects compromised users’ systems by identifying changes in typical IT access and usage. By accelerating alert prioritization, incident investigation, and threat-hunting efforts, Aruba IntroSpect can automate the detection of attacks and risky behaviors. In addition, the solution allows security teams to stay ahead of malicious activity and also insecure or negligent users, so they can manage threats before they become damaging. Aruba IntroSpect is suitable for IT organizations of every size and enables businesses to easily and rapidly scale machine-learned behavior detection from small projects to full enterprise deployments.
Aruba IntroSpect can detect:
Aruba IntroSpect Deployment Options
Aruba IntroSpect Data Sources
The IntroSpect platform can process data sources, including:
Aruba IntroSpect Features
Aruba IntroSpect has many valuable key features. Some of the most useful ones include:
Aruba IntroSpect Benefits
There are many benefits to implementing Aruba IntroSpect. Some of the biggest advantages the solution offers include:
Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.
Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.
What are the key features of Vectra AI?In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.
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