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.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
Without proper integration, scaling up with more servers is meaningless.
Cortex XSIAM is highly scalable.
It is pretty scalable, just in terms of cost.
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.
Perhaps more flexibility in terms of metrics would be helpful.
The first impression is that XSIAM would be more expensive than others we tried.
Cortex XSIAM is pretty expensive, and the licensing process is not very comfortable.
The licensing cost of Cortex XSIAM is more or less the same as Splunk, making it quite expensive compared to other tools.
The flexibility for creating manual workflows stands out.
Cortex XSIAM allows us to onboard almost every device, whether they are on-prem or on SaaS.
One of the valued aspects of the product is its use of artificial intelligence to detect security vulnerabilities.
The community on Slack is excellent for solving questions and getting ideas.
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.
Cribl optimizes log collection, data processing, and migration to Splunk Cloud, ensuring efficient data ingestion and management for improved operational efficiency.
Cribl offers seamless log collection directly from cloud sources, allowing users to visually extract necessary data and replay specific events for in-depth analysis. It provides robust management of events, parsing, and enrichment of data, along with effective log size reduction. Cribl is particularly beneficial for migrating enterprise logs, optimizing usage, and reducing costs while streamlining the transition between different log management tools.
What are Cribl's most important features?
What benefits and ROI should users look for?
Cribl is widely implemented in industries requiring extensive data management, such as technology and finance. Users leverage Cribl to handle log collection, processing, and migration efficiently, ensuring smooth operation and effective data analysis. It aids in managing temporary data storage during downtimes and better handling historical data, preventing data loss and allowing extended periods for viewing statistics and monitoring trends.
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