Threats are a moving target. Determined and persistent threat actors purposely stretch out their activity across weeks or even months, especially when most SIEM and XDR solutions are incapable of piecing together events across time. Even worse, is that these solutions primarily use rule-based Machine Learning, which is essentially pattern matching. This makes them especially ineffective in detecting new attacks and/or variants, which are highly successful in breaching organizations. Discover how Gurucul UEBA security can help your enterprise.
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?
- Correlation Engine: Integrates logs from diverse devices for seamless analysis.
- Customization: Tailors alerts based on specific industry needs such as banks.
- Centralized Dashboard: Offers complete visibility into network activities.
- Easy Rule Writing: Facilitates enhanced usability for users.
- Intuitive Interface: Provides streamlined access to reports and insights.
What benefits should businesses expect when using OpenText Behavioral Signals?
- Increased Security: Effective monitoring and alerts enhance network safety.
- Global Intelligence Gathering: Access to global attack notifications keeps organizations informed.
- Reduced False Positives: Improved accuracy in detecting genuine threats.
- Improved Log Management: Efficient handling of security and network device logs.
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.
Securonix Next-Gen SIEM is a security information and event management solution designed to provide advanced threat detection, response, and compliance capabilities. It leverages machine learning and big data analytics to offer a comprehensive security platform for modern enterprises.
Securonix Next-Gen SIEM utilizes advanced analytics and machine learning to detect complex threats that traditional SIEM solutions might miss. Its architecture is built on Hadoop, enabling scalability and the processing of large volumes of data in real-time. This allows organizations to gain deep insights into security incidents, prioritize threats, and automate response actions. The solution also includes behavior analytics to detect insider threats and unknown attacks, integrating seamlessly with existing IT infrastructure.
What are the critical features of Securonix Next-Gen SIEM?
-
Advanced Threat Detection: Uses machine learning algorithms to identify sophisticated threats and reduce false positives.
-
Behavior Analytics: Analyzes user and entity behavior to detect insider threats and anomalies.
-
Scalable Architecture: Built on Hadoop, it scales to handle large data volumes, providing real-time analytics.
-
Automated Response: Automates incident response to mitigate threats quickly and efficiently.
-
Integration Capabilities: Easily integrates with various IT and security tools for comprehensive coverage.
What is the ROI expectations?
-
Improved Threat Detection: Enhanced ability to detect and respond to advanced threats, reducing risk.
-
Operational Efficiency: Automation of repetitive tasks allows security teams to focus on more critical activities.
-
Cost Savings: Scalability and efficient data processing reduce the need for additional hardware and resources.
-
Compliance Support: Helps in meeting regulatory compliance requirements through detailed reporting and monitoring.
Securonix Next-Gen SIEM is implemented across various industries, including finance, healthcare, and retail. Its flexibility and advanced analytics capabilities make it suitable for environments with complex security needs. In finance, it helps detect fraud, while in healthcare, it ensures patient data security. In retail, it protects against data breaches and payment fraud.
In summary, Securonix Next-Gen SIEM offers advanced threat detection, scalability, and integration capabilities, making it a robust solution for modern enterprises.
