OpenText Behavioral Signals and Exabeam compete in data analytics and security. OpenText is advantageous in pricing and support, whereas Exabeam offers superior features, providing greater value.
Features: OpenText Behavioral Signals focuses on analyzing human behavior and detecting emotional nuances, offering insights to improve communication. Exabeam provides advanced machine learning for security analytics, comprehensive threat detection, and a robust response capability.
Room for Improvement: OpenText could enhance its feature set to compete more aggressively in security analytics. Expanding AI capabilities and enhancing integration options can further strengthen OpenText. For Exabeam, simplifying deployment and improving user onboarding could boost adoption. Increasing customization and flexibility might improve Exabeam's offerings.
Ease of Deployment and Customer Service: OpenText offers a simplified deployment process with personalized support, ideal for quick integration. In contrast, Exabeam's complex deployment is supplemented by extensive documentation suitable for technical setups.
Pricing and ROI: OpenText Behavioral Signals stands out with lower upfront costs and a quicker return on investment, appealing to those seeking immediate benefits. Exabeam, though pricier, compensates with substantial long-term ROI through its extensive feature set.
Exabeam offers more machine learning models that detect anomalies.
Even with TAM support from Exabeam, many issues go unresolved.
These problems were not frequent, and the last six to eight months have been stable.
I have explored the SaaS version; it offers many new features.
Exabeam needs to improve its documentation and provide more customization for dashboards and case management.
The product offers useful features like the dashboard, timeline, and session views, which enhance our security tools.
Exabeam's AI capabilities, like the natural language mode, convert natural language into Exabeam queries, enhancing ease of use.
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
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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