OpenText Behavioral Signals and ManageEngine EventLog Analyzer compete in data analysis and security management. ManageEngine EventLog Analyzer appears superior in terms of features and overall value, while OpenText Behavioral Signals stands out for pricing and flexibility.
Features: OpenText Behavioral Signals focuses on advanced behavioral analytics, communication pattern identification, and a valuable interface that compiles analyses into single reports. ManageEngine EventLog Analyzer offers robust log management, compliance auditing, and threat analysis capabilities, alongside its integration with other ManageEngine applications.
Room for Improvement: OpenText Behavioral Signals could improve on ease of deployment, initial setup effort, and may have limitations in basic features compared to competitors. ManageEngine EventLog Analyzer might benefit from more customization options, improved ticketing features, and expanded user training resources.
Ease of Deployment and Customer Service: ManageEngine EventLog Analyzer provides straightforward deployment with comprehensive support resources, ideal for quick implementation. OpenText Behavioral Signals offers flexible deployment options that cater to various organizational needs but may require more effort initially.
Pricing and ROI: OpenText Behavioral Signals usually presents a competitive pricing structure, offering a good ROI for organizations focusing on behavioral analysis improvements. ManageEngine EventLog Analyzer, while potentially having higher initial setup costs, offers significant ROI through its extensive security features, justifying the expense for those focused on IT security and compliance.
| Product | Market Share (%) |
|---|---|
| OpenText Behavioral Signals | 0.5% |
| ManageEngine EventLog Analyzer | 1.0% |
| Other | 98.5% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 7 |
| Large Enterprise | 2 |
Your organizations IT infrastructure generate huge amount of logs every day and these machine generated logs have vital information that can provide powerful insights and network security intelligence into user behaviors, network anomalies, system downtime, policy violations, internal threats, regulatory compliance, etc. However, the task of analyzing these event logs and syslogs without automated log analyzer tools can be both time-consuming and painful if done manually.
EventLog Analyzer provides the most cost-effective Security Information and Event Management (SIEM) software on the market. Using this Log Analyzer software, organizations can automate the entire process of managing terabytes of machine generated logs by collecting, analyzing, correlating, searching, reporting, and archiving from one central location. This event log analyzer software helps to monitor file integrity, conduct log forensics analysis, monitor privileged users and comply to different compliance regulatory bodies by intelligently analyzing your logs and instantly generating a variety of reports like user activity reports, historical trend reports, and more.
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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