OpenText Behavioral Signals and Cortex XSIAM are competing in the cybersecurity sector. Cortex XSIAM has an edge due to its comprehensive feature set and integration capabilities.
Features: OpenText Behavioral Signals provides advanced sentiment analysis, real-time insights, and data-driven decision support. Cortex XSIAM offers comprehensive security operations automation, integrating third-party vendors effortlessly, and superior threat detection capabilities.
Room for Improvement: OpenText Behavioral Signals could enhance its security features and expand integration options and scalability. Cortex XSIAM would benefit from simplifying setup processes, reducing initial deployment complexity, and improving real-time alerting features.
Ease of Deployment and Customer Service: OpenText Behavioral Signals features a streamlined deployment process and reliable customer support, easing adoption. Cortex XSIAM's deployment is intricate but offers extensive customer service for thorough implementation assistance, advantageous for complex setups.
Pricing and ROI: OpenText Behavioral Signals is cost-effective, providing significant ROI with lower setup expenses. Cortex XSIAM, despite higher initial costs, justifies its price through enhanced functionality, promising substantial long-term ROI for comprehensive cybersecurity exploration.
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.
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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