Splunk Enterprise Security and OpenText Behavioral Signals are competing products in the realm of cybersecurity analytics. Splunk Enterprise Security appears to have the upper hand with comprehensive security features, whereas OpenText Behavioral Signals offers deeper insights into user behavior.
Features: Splunk Enterprise Security provides real-time threat detection, extensive search capabilities, and integration with various data sources. It is noted for its scalability and ease of searching large amounts of data. OpenText Behavioral Signals focuses on advanced behavioral analysis, voice signal interpretation, and offers a unique perspective on user actions.
Room for Improvement: Splunk Enterprise Security could benefit from simplifying deployment and improving its user interface for non-experts. It may also enhance its integration capabilities with newer technologies. OpenText Behavioral Signals should expand its analytical depth and improve threat detection to compete more directly with Splunk in comprehensive security features. Additionally, enhancing real-time analysis capabilities could be beneficial.
Ease of Deployment and Customer Service: Splunk Enterprise Security is functional but can be complex to deploy, often requiring dedicated resources for optimal implementation. Conversely, OpenText Behavioral Signals offers a flexible deployment model and strong support services, making it more adaptable for specific needs and promoting ease of use.
Pricing and ROI: Splunk Enterprise Security often involves a higher setup cost, justified by its extensive security solutions, yet may pose a barrier for some organizations. In contrast, OpenText Behavioral Signals typically provides a more affordable entry point with notable returns on investment, making it an attractive option for companies focused on behavioral insights.
I have noticed a return on investment with Splunk Enterprise Security, as it delivers substantial value for money.
Customers see the value in investing in this solution, particularly when it helps resolve issues quickly, turning a potential 20-hour response into one hour.
We are able to secure the environment from all security threats and maintain an environment that is free from threats and attacks, especially cyberattacks.
If you want to write your own correlation rules, it is very difficult to do, and you need Splunk's support to write new correlation rules for the SIEM tool.
They try to close issues as soon as possible, often just offering documentation links.
They are responsive and effectively resolve issues.
They struggle a bit with pure virtual environments, but in terms of how much they can handle, it is pretty good.
It is easy to scale.
It's big in a Central European context, and small from a Splunk North American context.
They test it very thoroughly before release, and our customers have Splunk running for months without issues.
It provides a stable environment but needs to integrate with ITSM platforms to achieve better visibility.
It is very stable.
Improving the infrastructure behind Splunk Enterprise Security is vital—enhanced cores, CPUs, and memory should be prioritized to support better processing power.
Splunk Enterprise Security is not something that automatically picks things; you have to set up use cases, update data models, and link the right use cases to the right data models for those detections to happen.
For any future enhancements or features, such as MLTK and SOAR platform integration, we need more visibility, training, and certification for the skilled professionals who are working.
I saw clients spend two million dollars a year just feeding data into the Splunk solution.
The platform requires significant financial investment and resources, making it expensive despite its comprehensive features.
Splunk is priced higher than other solutions.
This capability is useful for performance monitoring and issue identification.
I assess Splunk Enterprise Security's insider threat detection capabilities for helping to find unknown threats and anomalous user behavior as great.
Splunk Enterprise Security provides the foundation for unified threat detection, investigation, and response, enabling fast identification of critical issues.
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.
Splunk Enterprise Security is widely used for security operations, including threat detection, incident response, and log monitoring. It centralizes log management, offers security analytics, and ensures compliance, enhancing the overall security posture of organizations.
Companies leverage Splunk Enterprise Security to monitor endpoints, networks, and users, detecting anomalies, brute force attacks, and unauthorized access. They use it for fraud detection, machine learning, and real-time alerts within their SOCs. The platform enhances visibility and correlates data from multiple sources to identify security threats efficiently. Key features include comprehensive dashboards, excellent reporting capabilities, robust log aggregation, and flexible data ingestion. Users appreciate its SIEM capabilities, threat intelligence, risk-based alerting, and correlation searches. Highly scalable and stable, it suits multi-cloud environments, reducing alert volumes and speeding up investigations.
What are the key features?Splunk Enterprise Security is implemented across industries like finance, healthcare, and retail. Financial institutions use it for fraud detection and compliance, while healthcare organizations leverage its capabilities to safeguard patient data. Retailers deploy it to protect customer information and ensure secure transactions.
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