Cloudfall RedKernel-UEBA - Provide free trial offer

Free trial package content: New users can enjoy a 14-day free trial, including: no more than 100 units can be connected, and there are no restrictions on functions during the trial period. For more information, please contact: business@cloudfall.cn  We will provide you with a free trial package through private offer. After the free trial expires, the contract is terminated. You can subscribe to the package below or contact us to obtain an private offer. The product aims to comprehensively analyze users and entities within the enterprise. It provides efficient anomaly detection and security analysis services by combining real-time data processing, built-in AI models, custom models, and machine learning algorithms. Using a highly usable distributed expandable architecture and an ultra-high compression ratio storage structure, it can not only meet the processing needs of massive data, but also help enterprises reduce storage costs. At the same time, the product provides customized solutions for various security scenarios such as internal enterprise threats and public cloud risk detection and response to help enterprises establish a comprehensive security protection system. UEBA's key features include:

1. Internal enterprise risk detection: By monitoring and analyzing the behavior of users and entities within the enterprise, potential internal threats and abnormal activities, such as abnormal logins, data transmission, and permission abuse, are identified.
2. Public cloud risk detection and response: Integrate data from the public cloud environment, monitor the behavior of users and entities on the cloud, detect common cloud misconfigurations and potential threats, and provide an automated response mechanism to quickly respond to security incidents.
3. Supports commonly used data sources and various types of databases in the industry: Compatible with various data sources and database types, including network traffic logs, system logs, application logs, etc., to ensure comprehensive data integration and analysis capabilities.
4. Automated feature engineering and model tuning: Supports automated feature engineering and model tuning, improves model accuracy and efficiency, and adapts to various types of data and complex business scenarios.
5. Multi-category algorithm model: The built-in anomaly detection model covers supervised models, semi-supervised models, and unsupervised models. It supports multiple categories of algorithms such as time-series prediction models, machine learning models, and deep learning models to meet different detection requirements.
6. Real-time data processing: Use real-time data processing technology to quickly analyze and respond to security incidents to reduce the impact and loss of potential threats.
7. Built-in AI models: Various AI models are pre-configured to provide out-of-the-box anomaly detection capabilities to improve the level of enterprise security protection.
8. Customized models: Allows users to define and train specific models according to their own needs to enhance the flexibility and accuracy of detection.
9. Machine learning algorithms: Advanced machine learning algorithms are used to improve the ability to detect complex threats and emerging attack methods through continuous learning and optimization.
10. Distributed expandable architecture: A highly usable distributed architecture ensures system stability and expandability, and can meet the growing security needs of enterprises.
11. Ultra high compression ratio storage structure: Using an efficient storage structure, data storage costs are significantly reduced while ensuring rapid data retrieval and analysis.
12. Customized solutions: Provide tailored solutions for the specific security needs of enterprises, including internal threat detection, public cloud risk management, etc., and build a comprehensive security protection system. Through these functions, the product can help enterprises effectively detect and respond to various security threats, improve the overall security situation, and ensure enterprise information security.