OpenText Behavioral Signals and Gurucul UEBA compete in user and entity behavior analytics. Gurucul UEBA seems to have the upper hand due to its comprehensive feature offerings.
Features: OpenText Behavioral Signals is known for real-time analysis, effective behavioral prediction, and immediate threat detection. Gurucul UEBA offers machine learning-driven risk scoring, comprehensive security analytics, and extensive features for complex security needs.
Room for Improvement: OpenText Behavioral Signals could enhance its machine learning capabilities, extend its analytics features, and improve integration with third-party tools. Gurucul UEBA's setup complexity could be simplified, its cost reduced for smaller organizations, and user interface further streamlined for ease of use.
Ease of Deployment and Customer Service: OpenText Behavioral Signals provides straightforward deployment and efficient customer support, favoring quick implementation. Gurucul UEBA, while requiring more intricate setup, offers thorough guidance and support appealing to those seeking detailed solutions.
Pricing and ROI: OpenText Behavioral Signals presents a cost-effective setup with immediate ROI through competitive pricing. Gurucul UEBA, despite higher initial costs, delivers significant ROI from advanced capabilities and in-depth insights.
| Product | Market Share (%) |
|---|---|
| Gurucul UEBA | 2.9% |
| OpenText Behavioral Signals | 2.4% |
| Other | 94.7% |
Threats are a moving target. Determined and persistent threat actors purposely stretch out their activity across weeks or even months, especially when most SIEM and XDR solutions are incapable of piecing together events across time. Even worse, is that these solutions primarily use rule-based Machine Learning, which is essentially pattern matching. This makes them especially ineffective in detecting new attacks and/or variants, which are highly successful in breaching organizations. Discover how Gurucul UEBA security can help your enterprise.
OpenText Behavioral Signals enhances organizational security monitoring with its robust correlation engine and streamlined dashboard, offering customization to suit different environments like airports or banks.
OpenText Behavioral Signals effectively integrates device logs through its strong correlation engine. The platform's customization options enable tailored alerts to match specific use cases, such as airports or banks. Although it needs more frequent updates to stay aligned with global incidents, it provides a centralized dashboard that ensures comprehensive visibility across networks. Users find the interface intuitive, making rule writing and report access easy, aiding in a comprehensive understanding of the network environment.
What are the key features of OpenText Behavioral Signals?In industries like banking and airports, OpenText Behavioral Signals is implemented for gathering global intelligence from the cloud. It notifies organizations about global attacks and updates its correlation engines. These industries utilize the platform for monitoring and analyzing logs from network devices, security log management, and addressing network challenges like link failures and unauthorized login attempts, ensuring better security posture with behavioral analytics and log integration using Unix and Microsoft-based connectors.
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