Find out in this report how the two Security Information and Event Management (SIEM) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It is ineffective in terms of responding to basic queries and addressing future requirements.
The Palo Alto support team is fully responsive and helpful.
Without proper integration, scaling up with more servers is meaningless.
Cortex XSIAM is highly scalable.
The product was easy to install and set up and worked right.
Overall, Cortex XSIAM is stable.
In terms of incident response automation, it is quite poor due to the lack of integration with all security tools, making manual intervention necessary.
Cortex XSIAM needs improvements in terms of data onboarding, parsers, and third-party integration supports.
Cortex XSIAM is pretty expensive, and the licensing process is not very comfortable compared to CrowdStrike.
The product is very expensive.
The first impression is that XSIAM would be more expensive than others we tried.
The licensing cost of Cortex XSIAM is more or less the same as Splunk, making it quite expensive compared to other tools.
Its signature-less subscriptions and robust detection power stand out in improving threat detection.
Cortex XSIAM is able to detect abnormal behavior of malicious code and subsequently block it.
One of the valued aspects of the product is its use of artificial intelligence to detect security vulnerabilities.
Cortex XSIAM acts as a critical element for SOC foundations, integrating SIEM and EDR capabilities, valued for threat detection and seamless security orchestration with Palo Alto Networks products.
Organizations find Cortex XSIAM beneficial for SOC foundations due to its capability to integrate SIEM and EDR tools, facilitating data collection, detection, and response. It connects with third-party data sources while reducing management effort and offering cost-effective alternatives to competitors like CrowdStrike and Trend Micro. Featuring automation and integration with Palo Alto Networks products, Cortex XSIAM enhances threat detection. Unified architecture allows a comprehensive view of attacks, further supported by machine learning and integration with existing vendor solutions, ensuring that users gain insights without significant manual log analysis.
What are Cortex XSIAM's key features?
What benefits are evident in Cortex XSIAM reviews?
Industries implement Cortex XSIAM mainly in technology-driven sectors where centralized endpoint protection and automation of forensic investigation are paramount. By integrating several third-party systems for incident response, companies in competitive markets leverage its attributes for heightened operational security efficiency. However, users note areas for improvement, such as Attack Surface Management and integration enhancements, to better suit tech-heavy industries needing extensive connectivity with cybersecurity solutions.
Gurucul Next Gen SIEM is used for threat detection and response, leveraging machine learning to identify anomalies and breaches. It provides advanced analytics, security event investigation, and compliance management.
Organizations use Gurucul Next Gen SIEM primarily for its robust capabilities in threat detection and response. Its machine learning algorithms effectively identify anomalies and potential breaches, making it a key tool for preventing insider threats. The platform features advanced analytics, real-time security event investigations, and comprehensive compliance management. Its automated workflows and integration capabilities enhance security incident management across environments, while its scalability meets the demanding requirements of large enterprises with complex security needs.
What are the key features of Gurucul Next Gen SIEM?Implementing Gurucul Next Gen SIEM in industries such as finance, healthcare, and retail significantly improves threat detection and response. Finance sectors benefit from its advanced analytics and compliance management, while healthcare organizations leverage it to protect patient data. Retailers use its real-time analytics and machine learning capabilities to mitigate risks such as insider threats and breaches.
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