OpenText Behavioral Signals and Venusense USM compete in the analytics and security space. OpenText Behavioral Signals has the upper hand due to its pricing flexibility and timely support, while Venusense USM is superior in feature integration.
Features: OpenText Behavioral Signals enhances decision-making with in-depth behavioral analytics, real-time insights, and comprehensive data analysis capabilities. Venusense USM provides unified security management, advanced threat detection mechanisms, and robust integration potential.
Ease of Deployment and Customer Service: OpenText Behavioral Signals offers a swift deployment process with reliable support, making integration into existing systems easier. Venusense USM requires more deployment time due to its complexity but effectively caters to complex queries with extensive customer service support.
Pricing and ROI: OpenText Behavioral Signals offers flexible pricing plans and is seen as cost-effective, leading to a favorable ROI. Venusense USM, although more expensive upfront, provides substantial long-term security benefits, making it a solid investment for those prioritizing security over initial cost.
Product | Market Share (%) |
---|---|
OpenText Behavioral Signals | 0.5% |
Venusense USM | 0.2% |
Other | 99.3% |
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.
Venusense USM establishes flow behavior profiling to identify asset attributes and supports business flow anomaly detection and compliance checks. Through the capture, generation and intelligent analysis of the business network traffic information achieves the flow and security events cross-analysis and traceability.
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