OpenText Behavioral Signals and Fortscale compete in behavioral analytics within cybersecurity. OpenText has the upper hand in support and pricing, whereas Fortscale excels in functionality.
Features: OpenText Behavioral Signals offers AI-driven threat detection, platform integration, and broad analytics capabilities. Fortscale utilizes superior machine learning algorithms, provides customizable analytics, and focuses on advanced customization options.
Ease of Deployment and Customer Service: OpenText Behavioral Signals ensures an easy deployment process and robust customer support. Fortscale offers in-depth implementation guidance and strong ongoing support, though its deployment is more complex.
Pricing and ROI: OpenText Behavioral Signals provides competitive upfront pricing, attracting budget-conscious buyers with solid ROI. Fortscale, with higher initial costs, offers excellent ROI through enhanced security and efficiency.
| Product | Market Share (%) |
|---|---|
| OpenText Behavioral Signals | 2.2% |
| Fortscale | 1.1% |
| Other | 96.7% |
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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