OpenText Behavioral Signals and SIEMStorm are competing in analytics and security domains. SIEMStorm seems to have the upper hand with its focus on security features, appealing to enterprises needing enhanced threat detection.
Features: Behavioral Signals includes advanced sentiment analysis, voice recognition, and real-time interaction monitoring. SIEMStorm integrates comprehensive threat intelligence, incident response capabilities, and security compliance management, crucial for robust threat detection and management.
Ease of Deployment and Customer Service: SIEMStorm offers a straightforward deployment process with seamless integration into existing security systems and is supported by responsive customer service. Behavioral Signals may require more configuration, but it provides competent support services.
Pricing and ROI: OpenText Behavioral Signals is competitively priced, aiming to offer a solid return on investment through efficient analytics capabilities. SIEMStorm has higher initial costs but promises substantial returns with extensive security features and compliance tools, appealing to organizations with a strong emphasis on security investments.
Product | Market Share (%) |
---|---|
OpenText Behavioral Signals | 0.5% |
SIEMStorm | 0.3% |
Other | 99.2% |
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.
SIEMStorm is our premier network security solution for cloud service providers and other MSSPs. A single appliance gives you flexible threat visualization and mitigation tools across distributed networks and other multi-tenant environments. Easy to set up right out of the box, SIEMStorm integrates with your existing network and security hardware to provide the following advanced features:
Advanced architecture with full failover and n-tier redundancy to meet complex regulatory compliance, business continuity and risk management needs
Multi-tenancy support to segregate customer accounts and silo files and applications for privacy and data integrity
Real-time attack visualization to identify zero-day attacks using sophisticated metrics based on rules-based, vulnerability, statistical and historical correlations
Vulnerability correlation to integrate data from CVE-compliant intrusion detection systems, eliminating false positives and freeing up your team to focus on real threats
Unparalleled visibility in distributed networks to correlate activity in individual customer environments, identifying hidden threats, suspicious trends and other potentially dangerous behavior
Sophisticated reporting tools for ISO, PCI, HIPAA, SOX and other compliance standards
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