OpenText Behavioral Signals and Gurucul UEBA compete in the user behavior analytics space. Gurucul UEBA is superior in feature set, offering comprehensive analytics, while OpenText Behavioral Signals is seen as better in pricing and support.
Features: OpenText Behavioral Signals provides real-time insights and strong behavior analytics. It can quickly detect anomalies and offers a valuable interface for analysis. Gurucul UEBA employs advanced machine learning, integrating AI for predictive analytics that identifies complex threats effectively. It features a single console view and an efficient search engine for historical data.
Room for Improvement: OpenText Behavioral Signals can enhance its customer service and expand its analytics capabilities to leverage predictive techniques. Additionally, it would benefit from integrating machine learning models. Gurucul UEBA might improve its performance on less comprehensive hardware and enhance initial setup and cost efficiency. Moreover, optimizing resource usage on the platform could be advantageous.
Ease of Deployment and Customer Service: Gurucul UEBA supports a flexible deployment model for both on-premises and cloud environments, backed by efficient customer support. OpenText Behavioral Signals offers a straightforward deployment, though customer service is not as extensive as Gurucul UEBA.
Pricing and ROI: OpenText Behavioral Signals has a lower initial cost, ensuring a quick ROI, focusing on competitive pricing. Despite higher upfront costs, Gurucul UEBA justifies this with long-term ROI through its exceptional functionality and comprehensive security measures.
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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