OpenText Behavioral Signals and Fortscale are competing products in the realm of behavioral analytics tools. OpenText stands out in support and pricing, while Fortscale's extensive feature set positions it as a superior choice for many users seeking comprehensive security solutions.
Features: OpenText Behavioral Signals offers real-time behavioral analysis, actionable insights into user patterns, and efficient operational insights. Fortscale provides advanced threat detection, robust anomaly detection mechanisms, and comprehensive security solutions.
Ease of Deployment and Customer Service: OpenText provides a straightforward deployment process with responsive customer service, making integrations quick and uncomplicated. Fortscale, although having advanced deployment options, presents a steeper learning curve but is supported by highly regarded, dedicated customer support, ensuring smooth transitions post-deployment.
Pricing and ROI: OpenText Behavioral Signals generally presents a cost-effective setup, delivering commendable ROI. Fortscale incurs a higher initial cost but is justified by its extensive capabilities, yielding substantial ROI for security-focused organizations.
| Product | Market Share (%) |
|---|---|
| OpenText Behavioral Signals | 2.0% |
| Fortscale | 0.9% |
| Other | 97.1% |
Fortscale delivers the intelligence needed to detect risks posed by different users and entities, so critical resources can be protected and appropriate controls implemented to improve an organization’s security stance. Unlike other solutions that rely on predefined rules, Fortscale combines predictive, big data analytics with advanced machine learning to accurately uncover real-time security risks. There are no limits – with selftuning anomaly detection that accurately identifies risks in an organization’s unique environment, security analysts have all they need to quickly identify and shut down attacks.
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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