User and Entity Behavior Analytics

What are the key components of Sangfor's User and Entity Behavior Analytics (UEBA) solution.

Today's networks collect a never-ending amount of data, especially because users may switch between mobile devices, cloud services, and IPs with ease. Because UBA places more emphasis on user action than static threat indicators, it can identify assaults that haven't been linked to threat information and warn users of dangerous conduct before an attack even begins.

The UEBA solution should provide tools for security teams to investigate detected anomalies. This can include features like playbooks for response actions.
Integration with Security Information and Event Management (SIEM):

When suspicious behavior is detected, the UEBA solution generates alerts. These alerts are then sent to security teams or administrators for further investigation. Reports can also be generated for compliance and audit purposes.

Raw data from different sources needs to be processed and normalized into a consistent format for analysis. This step ensures that data can be effectively analyzed for unusual patterns or behaviors.
User and Entity Profiling:

Integration with Security Ecosystems
Incident Response and Workflow
Scalability and Performance
Compliance and Reporting
User and Entity Risk Assessment

Automated and simplified response to threats by integrating network and endpoint security solution

Timeline traceback of the attack to the entry point and root cause

User and Entity Behavior Analytics (UEBA) that establish baselines of normal behavior for users, devices, and applications

Artificial Intelligence (AI) and Machine Learning (ML) algorithms that detect hidden threats and Command and Control (C&C) communications

Sangfor's UEBA solution is a comprehensive security platform that uses artificial intelligence (AI) and machine learning (ML) to detect and respond to advanced threats. It is made up of the following key components:

    Data collection and integration: Sangfor's UEBA solution collects data from a wide range of sources, including security logs, network traffic, and endpoint data. This data is then integrated into a single platform for analysis.
    User and entity profiling: Sangfor's UEBA solution creates profiles of users and entities based on their behavior. This includes information such as their login times, access patterns, and file activity.
    Anomaly detection: Sangfor's UEBA solution uses ML to identify anomalies in user and entity behavior. These anomalies could indicate a potential threat, such as an account compromise or data breach.
    Threat investigation and response: Sangfor's UEBA solution provides security teams with the tools they need to investigate and respond to threats. This includes the ability to quarantine accounts, block malicious activity, and notify users of potential threats.

In addition to these key components, Sangfor's UEBA solution also includes a number of other features, such as:

    Risk scoring: Sangfor's UEBA solution assigns risk scores to users and entities based on their behavior. This helps security teams to prioritize their investigations and focus on the most at-risk users.
    Threat intelligence: Sangfor's UEBA solution integrates with threat intelligence feeds to provide security teams with the latest information about known threats.
    User-defined rules: Sangfor's UEBA solution allows security teams to create their own rules for detecting anomalies. This helps to ensure that the solution is tailored to the specific needs of the organization.

Sangfor's UEBA solution is a powerful tool that can help organizations to detect and respond to advanced threats. It is used by organizations of all sizes, including government agencies, financial institutions, and healthcare organizations.