OpenText Behavioral Signals and Netsurion are competing products in data analytics and security solutions. Netsurion seems to have the upper hand due to its comprehensive security features deemed valuable by tech buyers, despite potentially higher costs.
Features: OpenText Behavioral Signals focuses on advanced behavior analytics, predictive capabilities, and robust data handling to provide valuable insights for decision-making. Netsurion is recognized for its network monitoring, expansive security features, and threat intelligence services, prioritizing protection in environments where data security is vital.
Room for Improvement: OpenText Behavioral Signals could benefit from a simpler setup process, enhanced customer support during deployment, and improved real-time data processing. Netsurion might seek to further simplify its user interface, expand integration capabilities with other platforms, and reduce the noise of alerts to enhance user experience.
Ease of Deployment and Customer Service: Netsurion offers a more streamlined deployment model with quick implementation and responsive customer service, minimizing disruption during setup. OpenText Behavioral Signals requires a more technical setup that may need additional internal resources, which could demand more substantial support during deployment.
Pricing and ROI: OpenText Behavioral Signals generally has lower initial setup costs, delivering a reasonable ROI through its efficient data analytics. Netsurion might present higher upfront investment but offers significant long-term ROI with its extensive security measures and scalable solutions, offering potential greater value over time.
Product | Market Share (%) |
---|---|
OpenText Behavioral Signals | 0.5% |
Netsurion | 0.5% |
Other | 99.0% |
Company Size | Count |
---|---|
Small Business | 10 |
Midsize Enterprise | 7 |
Large Enterprise | 7 |
Netsurion offers a comprehensive solution for centralized log management, SIEM, and managed services, ensuring continuous monitoring and security event analysis for diverse organizations, enhancing IT security and compliance.
Netsurion centralizes event management through SIEM and managed services. Organizations leverage it for vulnerability assessment and intrusion detection, integrating logs from Windows, Linux, and network devices. Its SOC provides 24/7 monitoring, ensuring compliance with PCI and audit standards. Real-time alerts and efficient log data aggregation enhance threat identification and response. Weekly reports and insights into user lockouts contribute to robust security management, beneficial for firms with constrained resources.
What are some key features of Netsurion?Netsurion is implemented across industries like finance, healthcare, and retail, where security is crucial. These sectors require robust monitoring and compliance solutions, utilizing Netsurion's seamless integration with their existing infrastructure to manage security operations effectively, addressing both regulatory needs and threat management.
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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