Amygdala XDR is an security detection, visibility, and compliance platform that enables organizations to protect their IT infrastructure from potential threats and actively respond to security threats in real time. It leverages popular security tools, such as Elasticsearch, Kibana, and OSSEC
Amygdala XDR is an security detection, visibility, and compliance platform that enables organizations to protect their IT infrastructure from potential threats and actively respond to security threats in real time. It provides real-time threat detection, incident response capabilities, and centralized logging and analysis of security events across an organization’s IT infrastructure, including servers, endpoints, cloud environments, containers, and networks.
Additionally, the Amygdala XDR platform integrates with other security tools, including intrusion detection and prevention systems (IDS/IPS), vulnerability scanners, and SIEM solutions, to provide a comprehensive security solution.
Amygdala XDR is composed of three primary components: agents, servers, and a web-based user interface (WUI). The agents are installed on endpoints to collect system logs and security events. The collected data is transmitted to the Amygdala XDR server for further analysis and processing. The Amygdala XDR server utilizes Elasticsearch and Kibana to index and visualize the collected data, enabling real-time alerts and reporting to security teams.
In addition to its core components, Amygdala XDR also includes decoders and a ruleset that assist in identifying known and unknown threats, as well as compliance monitoring capabilities to ensure organizations meet regulatory and industry standards. Amygdala XDR provides a robust and adaptable security platform that enables organizations to detect and respond to security incidents in real time. The platform’s nature facilitates community contributions and customization to meet specific security needs.
Amygdala XDR provides a robust and adaptable security platform that enables organizations to detect and respond to security incidents in real time. The platform’s nature facilitates community contributions and customization to meet specific security needs.
Amygdala XDR is composed of three primary components: agents, servers, and a web-based user interface (WUI). The agents are installed on endpoints to collect system logs and security events. The collected data is transmitted to the Amygdala XDR server for further analysis and processing. The Amygdala XDR server utilizes Elasticsearch and Kibana to index and visualize the collected data, enabling real-time alerts and reporting to security teams.
In addition to its core components, Amygdala XDR also includes decoders and a ruleset that assist in identifying known and unknown threats, as well as compliance monitoring capabilities to ensure organizations meet regulatory and industry standards.
Amygdala XDR security solution automates routine tasks, such as threat detection, incident response, and remediation. This automation helps security teams to work more efficiently, freeing up time for other critical tasks.
By providing complete visibility into an organization’s IT infrastructure, Amygdala XDR comprehensive security solution helps organizations identify potential vulnerabilities, threats, and risks that could compromise their security. This visibility enables organizations to take proactive measures to mitigate those risks, improving their overall security posture.
Amygdala XDR Comprehensive security solution provides better tools for managing compliance requirements. It helps organizations to track their compliance status, audit their security and data practices, and generates reports to demonstrate compliance with industry standards and regulations.
Comprehensive security solutions can help reduce costs associated with security breaches, compliance violations, and other security incidents. By identifying potential risks and vulnerabilities early on, organizations can take proactive steps to mitigate those risks, reducing the potential impact of incidents on their business.
Amygdala XDR comprehensive security solution helps build trust between an organization and its customers. By demonstrating a commitment to security and compliance, organizations can reassure customers that their data and information are protected.
Conclusion, Amygdala XDR Comprehensive Security, Detection, Visibility, and Compliance Solution makes the security industry better by improving efficiency, enhancing security posture, reducing costs, and building customer trust.
Amygdala XDR detects all known and unknown security threats in real-time, by analyzing security events and logs from across an organization's IT infrastructure.
Amygdala XDR incident response capabilities allow security teams to respond to incidents quickly and effectively, reducing the impact of the attack.
Amygdala XDR collects and analyzes security events and logs from servers, endpoints, cloud environments, containers, and networks, offering centralized logging and analysis capabilities.
Amygdala XDR integrates with other security tools, including IDS/IPS, vulnerability scanners, and SIEM solutions, providing a holistic security solution
Amygdala XDR offers compliance monitoring capabilities that assist organizations in ensuring that they meet the best industry and regulatory standards.
Amygdala XDR provides real-time threat detection and incident response capabilities, which can help organizations improve their security posture.
Amygdala XDR collects and analyzes security events and logs from across an organization's IT infrastructure, providing increased visibility into security threats.
Amygdala XDR's incident response capabilities enable security teams to respond to security incidents effectively, reducing the impact of the assault
Amygdala XDR compliance monitoring capabilities assist organizations to ensure that they meet industry and regulatory standards.
Amygdala XDR is an SIEM platform, which helps organizations lower their security costs compared to proprietary solutions
The nature of Amygdala XDR enables community contributions and customization to satisfy specific security requirements.
Amygdala XDR uses a variety of techniques to detect threats in real-time, including signature-based detection, behavioral analysis, and anomaly detection.
Amygdala XDR monitors files and directories for changes, and alerts administrators if any unauthorized modifications are made.
Amygdala XDR collects, analyzes, and stores log data from various sources, including operating systems, applications, and network devices.
Amygdala XDR includes pre-defined policies and rulesets that help organizations meet various compliance requirements, such as PCI DSS, HIPAA, and GDPR.
Amygdala XDR provides workflows that help organizations respond to security incidents in a timely and effective manner.
Amygdala XDR Multi-tenancy supports multiple independent groups, or tenants, within a single Amygdala XDR cluster. Each has its own index patterns, mappings, queries, dashboards, and visualizations in Amygdala XDR. It is useful in scenarios where multiple applications, customers, or teams need to share a common Elasticsearch infrastructure while keeping their data separated and isolated from each other.
Amygdala XDR provides several options for implementing multi-tenancy, including
In Amygdala XDR Index-based multi-tenancy, each tenant is assigned a separate set of indices. The indices are prefixed with a unique identifier for each tenant, such as "tenant1-" or "tenant2-", to keep them separate and Kibana can be configured to show only the indices of a particular tenant to that tenant's users.
In Amygdala XDR Namespace-based multi-tenancy, each tenant is assigned a unique namespace, which is used to isolate their data from other tenants. It is a logical grouping of Elasticsearch resources, including indices, documents, queries, and visualizations. Users of a particular tenant can only see and interact with resources within their own namespace.
In Amygdala XDR Role-based multi-tenancy, each tenant is assigned a set of roles that determine the level of access and permissions for that tenant's users. For example, a tenant may have a "read-only" role that only allows users to view data, while another tenant may have a "read-write" role that allows users to create and modify data.
Overall, multi-tenancy is an important feature in Amygdala XDR that allows users to share a common Amygdala XDR infrastructure while keeping their data separate and secure. It provides a flexible and scalable solution for organizations that need to support multiple applications, customers, or teams within a single Amygdala XDR cluster.
Dev Tools is a powerful tool that allows developers to interact with the Amygdala XDR using a variety of methods. It provides a console interface for developers to send requests directly to Elasticsearch and inspect the results in real-time. The Dev Tools tab can be accessed by clicking on the Dev Tools icon on the left-hand side of the UI.
The console interface allows developers to send requests to Amygdala XDR using a user-friendly interface. Requests can be made using the REST API, and the console supports a wide range of HTTP methods, including GET, POST, PUT, DELETE, and more.
The console interface provides an autocomplete module that can be used to quickly build complex queries. This module helps developers avoid syntax errors and improve the speed and accuracy of their queries.
The Dev Tools provides a wide range of snippets that developers can use to quickly build common queries. These snippets can be customized and saved for later use.
The Dev Tools allows developers to import and export requests as JSON files. This module can be used to share requests between team members or between different instances of UI.
The Dev Tools provide documentation for the Amygdala XDR REST API. This documentation can be used as a reference when building requests or troubleshooting issues.
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Amygdala XDR File Integrity Monitoring (FIM) module allows your organization to detect and monitor changes made to files or file systems, directories, and other critical system objects on your servers and workstations to detect unauthorized modifications or tampering. It uses an agent-based approach to monitor file changes. The agent periodically scans the file system and sends data to the centralized Amygdala XDR manager, who can immediately alert administrators of any changes or suspicious activities.
The Amygdala XDR FIM module tracks a variety of file parameters such as rights, ownership, content, size, and timestamps. It allows you to detect changes made to critical system files, configuration files, or even user-generated files in specific directories. In addition to real-time alerts, Amygdala XDR’s FIM module also investigates your historical data that can be utilized for scrutinizing past events and monitoring changes over an extended period. The module can also be customized to exclude certain files or directories from monitoring and can be used to comply with various regulatory requirements, such as PCI DSS or HIPAA.
Amygdala XDR File Integrity monitoring uses an agent-based approach to monitor the file system. The agent runs on the target system and periodically scans the file system for changes. The agent can be configured to monitor specific directories, files, or file attributes. It collects metadata about each file it monitors, such as file size, timestamps, permissions, and ownership. The Amygdala XDR File Integrity monitoring also calculates a hash value for each file, which is a unique identifier based on the file content. Overall, Amygdala XDR’s FIM module detects and responds to changes to critical files and system objects on your servers and workstations. It not only provides real-time alerts but also furnishes historical data that can be utilized for scrutinizing past events and monitoring modifications over an extended period
Amygdala XDR File Integrity monitoring monitors your file system, detecting changes as soon as they occur.
Amygdala XDR File Integrity monitoring monitors a wide range of file attributes, such as file content, permissions, ownership, timestamps, and more.
Amygdala XDR File Integrity monitoring provides historical data, allowing administrators to investigate past events and track changes over time.
Amygdala XDR File Integrity monitoring detects malicious activities, such as malware infections or unauthorized changes to critical files
Amygdala XDR File Integrity monitoring helps your organizations to comply with regulatory requirements, such as PCI DSS or HIPAA, which mandate file integrity monitoring.
Amygdala XDR File Integrity monitoring maintains the configuration of your systems, detecting changes that may lead to system instability or downtime.
Amygdala XDR File Integrity monitoring responds to your security incidents more quickly and effectively, by providing real-time alerts and historical data
Amygdala XDR File Integrity monitoring supports a variety of operating systems, including Windows, Linux, Unix, and macOS.
Amygdala XDR File Integrity monitoring supports a variety of file systems, including NTFS, FAT, EXT4, XFS, and HFS+. The FIM module must be compatible with the target file system to function properly.It uses a variety of protocols, including HTTP/HTTPS, TCP, and UDP.
Here are some of the key dependencies of Amygdala XDR File Integrity monitoring:
Amygdala XDR FIM is dependent on the operating system to access and monitor files and directories. The FIM module must be compatible with the target operating system to function properly.
Amygdala XDR FIM is dependent on the file system to access and monitor files and directories. The FIM module must be compatible with the target file system to function properly.
Amygdala XDR FIM uses an agent-based approach to monitor the file system. The Amygdala XDR agent runs on the target system and periodically scans the file system for changes. The agent must be properly installed and configured to function properly.
Amygdala XDR FIM is dependent on a database to store metadata about the files and directories being monitored. The database must be properly configured and maintained to ensure the FIM module is working properly.
Amygdala XDR FIM is dependent on network connectivity to send alerts to administrators and to receive configuration updates from the centralized management console. The network must be properly configured to ensure the FIM module is working properly.
Amygdala XDR FIM is also dependent on a centralized management console to configure the file integrity and to receive alerts. The centralized management console must be properly installed and configured to ensure the FIM can function properly.
When an alert is triggered, Amygdala XDR automatically block your traffic and IP address associated with the event. It is done at the firewall or network layer, preventing further attacks from the same source
When an alert is triggered, Amygdala XDR automatically terminate your process associated with the event. It is used to stop malicious software from continuing to run on the system.
When an alert is triggered, Amygdala XDR automatically quarantine your files associated with the event. It is done to prevent malware from spreading to other systems.
When an alert is triggered, Amygdala XDR automatically run your scripts that perform custom actions. It is done to automate the response to specific types of events.
When an alert is triggered, Amygdala XDR automatically notify your administrators via email, SMS, or other methods. It is done to ensure that administrators are aware of the event and can take appropriate action.
Here are some of the key features of the Amygdala XDR’s Active Response module:
The Amygdala XDR Active response enables the automation of your security operations, allowing administrators to respond quickly and efficiently to security events. It reduces the time it takes to detect and respond to security incidents, helping to minimize the potential impact of an attack.
Amygdala XDR File Integrity monitoring supports a variety of file systems, including NTFS, FAT, EXT4, XFS, and HFS+. The FIM module must be compatible with the target file system to function properly.It uses a variety of protocols, including HTTP/HTTPS, TCP, and UDP.
The Active Response module is integrated with Amygdala XDR's broader security platform, which provides a centralized console for managing security events. This integration allows your administrators to see alerts in real-time, evaluate the severity of each alert, and take appropriate action.
The Active Response module helps organizations meet compliance requirements by providing automated responses to security events that are consistent with industry best practices and regulatory standards. It helps organizations avoid fines and other penalties associated with non-compliance.
Amygdala XDR's Active Response module is designed to work with large and complex environments, making it suitable for organizations of all sizes. It is deployed on-premises or in the cloud and integrated with other security tools to provide a comprehensive security solution.
When a security event is detected by the Amygdala XDR agent, an alert is generated and sent to the Amygdala XDR server for processing. The Amygdala XDR server receives the alert and evaluates its severity and relevance. Based on pre-defined rules and policies, the server determines whether an active response is required. If an active response is required, the Amygdala XDR server triggers the appropriate response action, it includes blocking IP addresses, terminating processes, quarantining files, or running scripts.
The response action is executed on the affected system(s). For example, if the response action is to block an IP address, the Amygdala XDR server sends a command to the firewall or network device to block traffic from the offending IP address. The Amygdala XDR server logs the response action and sends notifications to the appropriate administrators. It provides a record of the response to the security event and allows administrators to review and verify the effectiveness of the response.
The Active Response module is used with a variety of operating systems, including Windows, Linux, and macOS. This allows administrators to respond to security events on any type of system in their environment.
The Active Response module supports a range of network devices, including routers, switches, and firewalls. This allows administrators to automate responses to security events at the network level, such as blocking traffic from a particular IP address.
The Active Response module is integrated with various cloud services, such as AWS, Azure, and Google Cloud. This allows administrators to automate responses to security events in cloud environments.
The Active Response module is used with different types of databases, such as MySQL, PostgreSQL, and Microsoft SQL Server. This allows administrators to automate responses to security events that affect databases.
The Active Response module supports various protocols, including TCP, UDP, ICMP, and HTTP. This allows administrators to automate responses to security events that use these protocols.
Key dependencies of the Active Response module
The Active Response module supports various protocols, including TCP, UDP, ICMP, and HTTP. This allows administrators to automate responses to security events that use these protocols.
The Active Response module can be integrated with the Amygdala XDR indexer to provide real-time alerting and analysis of security events. This integration allows administrators to visualize and analyze alert data in real time.
The Active Response module relies on APIs to interact with other systems and perform actions. APIs can be used to automate responses to security events, such as blocking IP addresses or quarantining files.
The System Inventory module of the Amygdala XDR provides an automated way to collect information about the hardware and software configuration of your systems being monitored by the Amygdala XDR. This module helps organizations maintain an up-to-date inventory of all the systems in their environment.
Hardware Information :The module collects your information about the IT components of a system, such as a processor, memory, storage devices, and network interfaces.
Software Information :The module collects your information about the installed software on a system, including the os, system patches, and installed applications.
System Events :The module also collects your system events, such as logins, logouts, and system reboots. This information can be used to monitor system availability and detect security events.
The System Inventory module automatically collects your information about the hardware and software configuration of all the systems in the environment, eliminating the need for manual data collection.
The System Inventory module helps your organizations maintain an up-to-date inventory of all the systems in their environment, making it easier to track assets and ensure compliance with security policies.
The System Inventory module detects changes to the system configuration, such as the installation of new software or changes to system settings, helping to identify potential security risks.
The System Inventory module integrates with other Amygdala XDR modules, such as the Vulnerability Detection module and the Compliance module, to provide a comprehensive view of the security posture of the organization.
The module uses system commands and utilities to collect system information. For example, it uses "lshw" and "dmidecode" to gather hardware information and "dpkg", "rpm", and "yum" to collect software information.
The module collects system events from the syslog and event logs generated by the operating system, applications, and services running on the system.
The module collects system information using Secure Shell (SSH), which is a protocol used to establish a secure connection between two systems.
The System Inventory module in Amygdala XDR has a few dependencies on other modules to function properly:
The System Inventory module relies on agents to collect system information from the monitored systems. Without agents, the module cannot collect data.
The agents send the collected system information to the Amygdala XDR Manager, where it is analyzed and reported on. Without the Amygdala XDR Manager, the system inventory data cannot be processed or viewed.
The System Inventory module uses configuration files to determine what data to collect and how to collect it. Without proper configuration files, the module may not collect the desired data or may collect too much data, leading to performance issues.
The System Inventory module relies on various operating system APIs and utilities to collect system information, such as "lshw" and "dmidecode" on Linux or WMI on Windows. Without these APIs and utilities, the module may not be able to collect all desired information
The Cloud Security module of Amygdala XDR is designed to provide security monitoring and threat detection for cloud environments, specifically Amazon Web Services (AWS) and Microsoft Azure. This module is built on top of the Amygdala XDR platform and leverages its capabilities to provide comprehensive security monitoring and analysis for cloud environments. The Cloud Security module provides visibility into cloud infrastructure, such as virtual machines, storage, and networks, and monitors for security events and threats. It also integrates with cloud provider APIs to collect metadata, such as configuration and usage information, to provide a complete view of the cloud environment.
The module assesses the configuration of your cloud infrastructure, such as virtual machines and storage, to identify misconfigurations that could lead to security issues.
The module uses threat intelligence and behavior analysis to detect your security threats in the cloud environment.
The module collects and analyzes your log data from cloud infrastructure to identify security events and anomalies.
The module helps your organizations ensure compliance with regulatory requirements, such as HIPAA or PCI DSS, by monitoring cloud infrastructure for non-compliant activities.
The module generates real-time alerts for security events and threats in the cloud environment.
The Amygdala XDR Agent is installed on cloud instances and collects log data and system metrics from the instance. It also performs configuration assessment checks to identify misconfigurations that could lead to security issues.
The Cloud Security module includes pre-defined rule sets that are used to detect security events and threats in the cloud environment. These rule sets are based on best practices and industry standards for cloud security.
The Cloud Security module includes pre-built dashboards that provide a visual representation of security events and threats in the cloud environment. The dashboards can be customized to meet the specific needs of the organization.
The Cloud Security module of Amygdala XDR supports several technologies and protocols to monitor and secure cloud environments. Some of the key technologies and protocols supported by the module include:
The Cloud Security module supports AWS and leverages AWS APIs to collect metadata, such as configuration and usage information, from cloud infrastructure.
The module also supports Microsoft Azure and leverages Azure APIs to collect metadata from Azure resources.
The Cloud Security module uses the Amygdala XDR API to communicate with cloud provider APIs and collect metadata from cloud infrastructure.
The module can collect log data from cloud infrastructure using the Syslog protocol.
The Cloud Security module can collect CloudTrail logs from AWS to monitor user activity and API usage in the cloud environment.
The module can monitor security groups in AWS and Azure to ensure that only authorized traffic is allowed.
The Amygdala XDR Agent is installed on cloud instances and is responsible for collecting log data and system metrics from the instance. The Cloud Security module depends on the Amygdala XDR Agent to collect data from cloud infrastructure.
The Amygdala XDR Manager is the central component of the Cloud Security module and is responsible for processing and analyzing log data, system metrics, and metadata collected from cloud infrastructure. The module depends on the Amygdala XDR Manager to generate real-time alerts for security events and threats in the cloud environment.
The Cloud Security module uses the Amygdala XDR API to communicate between the Amygdala XDR Manager and cloud provider APIs to collect metadata from cloud infrastructure.
The Cloud Security module depends on cloud provider APIs, such as AWS APIs and Azure APIs, to collect metadata from cloud infrastructure.
Amygdala XDR provides log data analysis as one of its core module. This module enables your organization to collect, process, and analyze log data from a wide range of sources to gain insights into your system and network activity. Here’s an overview of how to log data analysis works in the Amygdala XDR.
Amygdala XDR collects your log data from a variety of sources, including system logs, application logs, network devices, and cloud services and supports a wide range of log formats and provides pre-built decoders for common log types. It uses decoders to parse and normalize log data into a common format, making it easier to search, analyze, and correlate events across different sources. Amygdala XDR provides a range of built-in rules and correlation logic to help you analyze log data and identify potential security threats. This includes detecting patterns of behavior that may indicate an attack, such as repeated login failures, unusual file access patterns, or suspicious network traffic.
With Amygdala XDR, you can collect, normalize, and store log data from a wide range of sources in a centralized location. This can make it easier to manage and analyze security events across your entire environment.
Amygdala XDR's log data analysis engine analyzes your log data in real time, allowing you to detect potential security threats as they occur. This can help you respond to security incidents more quickly and effectively.
Amygdala XDR uses advanced correlation techniques to identify patterns of behavior that may indicate a security threat. This includes cross-referencing log data from different sources to detect complex attacks that may span multiple systems or components.
Overall, Amygdala XDR's log data analysis module provides a powerful way to manage and analyze security events across your environment. By centralizing log data and applying advanced correlation techniques, you can better detect and respond to potential security threats and improve your overall security posture.
Amygdala XDR’s log data analysis module uses an event-driven architecture that is designed to collect, normalize, and analyze log data from a wide range of sources. The architecture consists of the following components:
Amygdala XDR’s log data analysis module supports a wide range of technologies and protocols for collecting and analyzing log data. Here are some of the key technologies and protocols that are used:
Amygdala XDR can collect and analyze syslog data from a variety of sources, including Unix/Linux systems, network devices, and applications.
Amygdala XDR provides Amygdala XDR agents for Windows, Linux, and macOS that can collect and forward log data to the Amygdala XDR manager for analysis.
Amygdala XDR supports a variety of APIs that can be used to collect log data from third-party applications and services.
Amygdala XDR uses Amygdala XDR Indexer to store and search log data. Amygdala XDR Indexer provides a fast and scalable way to store and search large volumes of data.
Amygdala XDR uses Logstash to collect, parse, and normalize log data from different sources. Logstash provides a flexible and extensible way to process log data before it is sent to Amygdala XDR Indexer.
Amygdala XDR detects patterns of behavior that may indicate an attack, such as repeated login failures, unusual file access patterns, or suspicious network traffic.
Amygdala XDR detects anomalous behavior by comparing log data to established baselines or statistical models. This can help identify new and emerging threats that may not be covered by the traditional rules-based analysis.
Amygdala XDR can cross-reference log data from different sources to detect complex attacks that may span multiple systems or components.
Amygdala XDR's log data analysis module relies on Amygdala XDR Indexer to store and search log data. Amygdala XDR Indexer is an open-source search and analytics engine that provides a fast and scalable way to store and search large volumes of data.
Amygdala XDR uses Logstash to collect, parse, and normalize log data from different sources. Logstash is an open-source data processing pipeline that can be used to collect, process, and forward data.
Amygdala XDR's log data analysis module uses Amygdala XDR Dashboard to visualize log data and create custom dashboards and reports. Amygdala XDR Dashboard is an open-source data visualization solution that can be used to create interactive visualizations, such as charts, graphs, and tables.
Amygdala XDR's log data analysis module is based on the OSSEC project, which is an open-source host-based intrusion detection system. OSSEC provides a range of modules for analyzing system events and detecting potential security threats.
Amygdala XDR's log data analysis module uses OpenSCAP to perform vulnerability assessments and compliance checks on systems. OpenSCAP is an open-source implementation of the Security Content Automation Protocol (SCAP) and provides a set of tools and libraries for assessing system security.
Amygdala XDR's log data analysis module integrates with Suricata, which is an open-source network intrusion detection system. Suricata provides a range of modules for detecting and preventing network-based attacks.
Amygdala XDR’s rootkit detection module provides a way to detect and respond to rootkits, which are stealthy malware that can hide their presence on a compromised system. The module is designed to identify any unauthorized changes to the system that might indicate the presence of a rootkit. Amygdala XDR’s rootkit detection module uses a variety of techniques to detect rootkits, including file integrity monitoring, process monitoring, and kernel module monitoring. It can detect changes to critical system files, the creation of new processes, and the loading of unauthorized kernel modules.
In addition to detecting rootkits, Amygdala XDR’s rootkit detection module can also take actions to respond to rootkits, such as alerting security teams, blocking network traffic, or quarantining affected systems. The module is highly customizable and can be tailored to the specific needs of an organization. It can be configured to monitor specific files, directories, and processes, and to trigger alerts based on specific events or thresholds.
mygdala XDR's rootkit detection module detects rootkits early before they have a chance to cause serious damage to a system or network. This can help organizations respond quickly and minimize the impact of an attack.
Amygdala XDR's rootkit detection module supports a wide range of operating systems, including Windows, Linux, macOS, and others. This makes it a flexible and versatile solution for organizations with diverse IT environments.
Amygdala XDR's rootkit detection module includes file integrity monitoring, which can detect changes to critical system files that may be indicative of a rootkit. This can help organizations identify suspicious activity and take action to investigate and remediate potential threats.
Amygdala XDR’s rootkit detection module uses a combination of techniques to detect and respond to rootkits, which are stealthy malware that can hide their presence on a compromised system. The module includes file integrity monitoring, which detects changes to critical system files that may be indicative of a rootkit. It also includes process monitoring, which detects the creation of new processes that may be associated with a rootkit. Additionally, kernel module monitoring is included to detect the loading of unauthorized kernel modules that may be associated with a rootkit.
Amygdala XDR’s rootkit detection module leverages your system-level APIs and kernel modules to monitor system activity and detect signs of a rootkit. It uses the Open-Source Security Information Management (OSSIM) framework for event correlation and analysis, allowing it to generate alerts and notifications based on specific criteria.
Amygdala XDR’s rootkit detection module does not rely on any specific network protocols, as it primarily focuses on monitoring system-level activity rather than network traffic. It monitors system files, processes, and kernel modules to detect signs of a rootkit, and can generate alerts and notifications based on specific criteria. While the module can be integrated with a wide range of SIEM solutions and other security tools, it does not use any specific protocols of its own.
Amygdala XDR’s rootkit detection module uses a variety of system-level APIs and kernel modules to monitor system activity and detect signs of a rootkit. It leverages a range of open-source technologies, including the Open-Source Security Information Management (OSSIM) framework for event correlation and analysis.
Amygdala XDR’s rootkit detection module uses a variety of open-source libraries and projects to help identify and respond to rootkits. Some of the key libraries and projects that the module depends on include:
Amygdala XDR's rootkit detection f module uses a range of system calls and kernel modules to monitor system activity and detect signs of a rootkit. These low-level tools provide a granular view of system behavior, enabling the module to identify even subtle indications of a rootkit.
Amygdala XDR's rootkit detection module is built on the OSSIM framework, which provides a scalable, centralized platform for managing security information. OSSIM enables the module to collect and correlate data from multiple sources, enhancing its ability to detect rootkits. File Integrity Checking (FIM) tools: Amygdala XDR's rootkit detection module uses FIM tools to monitor changes to critical system files and directories. By comparing the current state of a file to a known baseline, the module can detect if a file has been modified or replaced by a rootkit.
Machine learning algorithms: Amygdala XDR's rootkit detection module incorporates machine learning algorithms to enhance its detection capabilities. These algorithms use historical data to identify patterns and anomalies that may indicate the presence of a rootkit.
Amygdala XDR’s configuration assessment module enables your organizations to monitor the configuration of their systems and applications for compliance with security policies, best practices, and regulatory requirements. The module allows organizations to define their policies or use pre-defined templates to assess configurations and detect changes that may represent security risks. Configuration assessment covers a wide range of items, including OS-level settings, application settings, file permissions, and registry keys.
Amygdala XDR’s configuration assessment module provides real-time alerts and notifications when a configuration change violates a policy. This allows organizations to respond quickly and prevent security incidents before they can cause harm. The module also provides detailed reports on configuration assessments, making it easy to demonstrate compliance with internal and external policies and standards.
Amygdala XDR's configuration assessment module enables organizations to automate the process of assessing the configuration of their systems and applications. This reduces the manual effort required to ensure compliance with security policies and best practices and provides real-time alerts when configuration changes violate policies.
Amygdala XDR's configuration assessment module allows organizations to define their policies or use pre-defined templates to assess configurations. This enables organizations to tailor the assessments to their specific security policies and compliance requirements.
The module provides real-time alerts and notifications when a configuration change violates a policy. This allows organizations to respond quickly to potential security incidents and take action to prevent harm.
Amygdala XDR's configuration assessment module provides detailed reports on configuration assessments, making it easy to demonstrate compliance with internal and external policies and standards.
Amygdala XDR's configuration assessment module can be integrated with other security tools, such as intrusion detection systems, to provide a more comprehensive view of security threats.
Amygdala XDR’s Configuration Assessment module allows for the assessment and analysis of the configuration of a system or application to ensure compliance with security policies and best practices. This module is implemented through the use of Amygdala XDR rules and plugins that are specifically designed to detect and report on configuration issues or misconfigurations. These rules and plugins are regularly updated to ensure they are up-to-date with the latest security policies and best practices.
The Configuration Assessment module includes a set of pre-defined templates that can be used to quickly assess and analyze the configuration of common applications and services. Users can also create custom templates for more specialized configurations. The Configuration Assessment module also provides a dashboard that allows users to monitor and track the compliance status of their systems over time, and to quickly identify and address any configuration issues or misconfigurations that may be present.
Overall, the Configuration Assessment module is an important tool for ensuring the security and compliance of systems and applications, and for identifying and addressing potential security issues before they can be exploited by attackers.
Amygdala XDR’s Configuration Assessment module uses several technologies and protocols to perform its functions.
Firstly, Amygdala XDR uses OSSEC, which is an open-source host-based intrusion detection system, to collect and analyze data related to system configuration. Amygdala XDR also leverages the Extensible Configuration Checklist Description Format (XCCDF) and Open Vulnerability and Assessment Language (OVAL) protocols to define the configuration policies and vulnerability assessments that are used to evaluate system configurations.
In addition, Amygdala XDR’s Configuration Assessment module integrates with the Security Content Automation Protocol (SCAP) to support the exchange of configuration and vulnerability information between different systems and applications. Finally, the Amygdala XDR Configuration Assessment module uses a range of other technologies and tools, such as the Unix shell and Python scripting language, to implement its functions and modules.
Amygdala XDR’s Configuration Assessment module is built on several open-source libraries and projects, including:
Amygdala XDR's Configuration Assessment module uses Python scripting language for various tasks, such as parsing configuration files, running tests, and generating reports.
Amygdala XDR's Configuration Assessment module uses Python scripting language for various tasks, such as parsing configuration files, running tests, and generating reports.
Amygdala XDR's Configuration Assessment module uses XML to define XCCDF and OVAL policies, as well as to generate reports.
Amygdala XDR’s Vulnerability Detection is a module that can identify known software vulnerabilities in the environment, both at the operating system and application levels. It leverages information from various sources, such as the National Vulnerability Database (NVD), to detect and alert to vulnerabilities affecting the environment. The module can also integrate with patch management systems to enable automated remediation of vulnerabilities.
Amygdala XDR’s Vulnerability Detection works by scanning the systems in the environment for known vulnerabilities based on the information available in various databases. It can scan for vulnerabilities in the operating system, web applications, and databases, among other areas. The module can also provide information on the severity of the vulnerability and any available remediation steps.
Amygdala XDR's Vulnerability Detection scans systems in the environment for known vulnerabilities in various areas, including the operating system, web applications, and databases.
The module leverages information from external sources, such as the National Vulnerability Database (NVD), to detect and alert vulnerabilities affecting the environment.
Amygdala XDR's Vulnerability Detection integrates with patch management systems to enable automated remediation of vulnerabilities.
The module can provide information on the severity of the vulnerability, allowing organizations to prioritize remediation efforts.
Vulnerability Detection generates real-time alerts when a vulnerability is detected, allowing organizations to take immediate action to address the issue.
The module helps organizations meet compliance requirements by identifying and remediating known vulnerabilities in their environment.
Amygdala XDR’s Vulnerability Detection module allows users to scan their systems and detect potential vulnerabilities in their infrastructure. The module utilizes multiple vulnerability databases and scanners, including the Open Vulnerability Assessment System (OpenVAS) and the National Vulnerability Database (NVD), to identify security weaknesses.
Amygdala XDR’s Vulnerability Detection module uses the Common Vulnerability Scoring System (CVSS) to rate the severity of vulnerabilities and prioritize which vulnerabilities to address first. The module integrates with various security tools and systems, including security information and event management (SIEM) systems, to provide a comprehensive view of security issues across an organization’s infrastructure.
The module also includes automatic vulnerability detection and reporting, as well as the ability to schedule vulnerability scans at regular intervals. Users can customize the module to meet their specific security needs, including creating custom rules and policies for vulnerability detection and remediation.
The vulnerability detection module uses a variety of technologies, including vulnerability databases, network scanning tools, and analysis engines, to identify and assess vulnerabilities across an organization’s infrastructure. It also relies on several protocols, such as the Simple Network Management Protocol (SNMP) and the Extensible Markup Language (XML), to collect and analyze data from a variety of sources.
Amygdala XDR’s Vulnerability Detection module uses a combination of technologies and protocols to perform its functions. These include:
Vulnerability data sources Amygdala XDR uses different sources of vulnerability data such as the National Vulnerability Database (NVD), Common Vulnerabilities and Exposures (CVE) database, and other publicly available vulnerability data sources.
Vulnerability scanners Amygdala XDR integrates with popular vulnerability scanners such as OpenVAS and Nessus to scan for vulnerabilities on hosts and networks.
Network protocols Amygdala XDR uses various network protocols such as TCP, UDP, ICMP, and others to communicate with hosts and devices.
Logging protocols Amygdala XDR can collect logs from various sources using protocols such as Syslog, Windows Event Log, and others.
APIs Amygdala XDR provides APIs that allow integration with other systems and applications, making it easier to correlate vulnerability data with other security information.
These technologies and protocols work together to provide a comprehensive vulnerability detection system that can identify and alert potential vulnerabilities in real-time.
Amygdala XDR’s Vulnerability Detection module depends on several open-source projects and libraries, including:
Amygdala XDR’s Container Security module provides visibility and protection for containerized applications and environments. It monitors your containers, images, and registries for vulnerabilities, compliance issues, and anomalous behavior. Container Security uses a combination of host and container-based sensors to collect and analyze data, allowing for early detection and response to potential security incidents. Additionally, it integrates with popular container orchestration platforms such as Kubernetes and Docker Swarm to provide seamless security management.
It provides continuous monitoring of container images, host, and orchestration platforms to detect vulnerabilities and configuration issues.
It performs automatic security assessments of Docker containers and Kubernetes environments.
It provides a risk score for containers and clusters based on the severity of vulnerabilities, misconfigurations, and other security issues.
It can help you achieve compliance with industry security standards by detecting security issues and misconfigurations.
It integrates with popular container platforms like Docker and Kubernetes, and also with orchestration platforms like Docker Swarm and OpenShift
Amygdala XDR’s Container Security is designed to provide security monitoring for containerized environments, such as Docker and Kubernetes. The main goal of this module is to detect and respond to threats and anomalies within containerized applications and the infrastructure they run on.
Amygdala XDR’s Container Security module monitors container logs, image vulnerabilities, network traffic, and system calls for potential security threats. It also provides policy-based compliance monitoring to ensure that the containerized environment is configured and running according to best practices and security standards.
The technology used by Amygdala XDR’s Container Security includes integration with Docker and Kubernetes APIs, as well as the use of open-source security tools like Sysdig Falco, which is used for runtime container security. It also includes the use of vulnerability databases like the National Vulnerability Database (NVD) to detect and identify vulnerabilities in container images.
Amygdala XDR’s Container Security is designed to work seamlessly with other Amygdala XDR modules, such as intrusion detection and log analysis, to provide a complete security monitoring solution for containerized environments.
Amygdala XDR’s Container Security supports various security and network protocols, such as TLS/SSL, SSH, and IPsec, as well as container technologies like Docker and Kubernetes. It also leverages several security-related tools and technologies, such as Docker Bench, OpenSCAP, and Kubernetes CIS Benchmark, to provide comprehensive container security monitoring and threat detection capabilities. Additionally, Amygdala XDR’s Container Security integrates with cloud platforms like AWS and Azure to provide centralized monitoring and management of container environments.
Amygdala XDR’s Container Security module depends on several libraries and projects, including:
Amygdala XDR XDR (Extended Detection and Response) module of the Amygdala XDR platform enables your security teams to detect and respond to threats across multiple endpoints and cloud environments.
The XDR module integrates with other security tools and data sources, such as endpoint detection and response (EDR), cloud security posture management (CSPM), and security information and event management (SIEM) solutions, to provide a comprehensive view of the security posture of an organization. This allows security teams to detect and respond to threats in real-time, minimizing the impact of attacks.
The Amygdala XDR XDR module also includes automation and orchestration capabilities, which enable security teams to automate repetitive tasks and response actions, such as isolating an infected endpoint or blocking a malicious IP address. This helps to improve the efficiency of security operations and reduce the time to detect and respond to threats.
Overall, the Amygdala XDR XDR module is designed to help organizations improve their threat detection and response capabilities, by providing a unified view of their security posture and automating response actions to minimize the impact of attacks.
Amygdala XDR XDR offers visibility across your multiple endpoints and platforms, including servers, workstations, mobile devices, and cloud environments.
Amygdala XDR XDR uses advanced analytics and machine learning algorithms to detect and respond to threats automatically, reducing the workload of security teams.
Amygdala XDR XDR provides a centralized platform for incident response management, allowing security teams to investigate incidents quickly and effectively.
Amygdala XDR XDR enables proactive threat hunting by allowing your security teams to analyze historical data and identify potential threats.
Amygdala XDR XDR provides real-time monitoring and alerting of potential threats, enabling your security teams to take action before damage occurs.
Amygdala XDR XDR provides compliance management capabilities, ensures your organizations comply with industry regulations and standards.
Amygdala XDR XDR integrates various security solutions and data sources such as Endpoint Detection and Response (EDR), Security Information and Event Management (SIEM), and Network Detection and Response (NDR) to provide a unified view of the organization's security posture.
The Amygdala XDR XDR module supports a wide range of protocols to enable comprehensive threat detection and response across various endpoints and cloud environments.
The Amygdala XDR XDR module has some dependencies on other components of the Amygdala XDR platform to function properly. Some of these dependencies include:
HA (High Availability) management is an important aspect of managing an Amygdala XDR cluster. It refers to the ability to ensure that the cluster can continue to operate normally even in the event of hardware or software failures. HA management is critical in ensuring that the cluster remains available and responsive to user requests at all times.
The topology of the Amygdala XDR cluster is critical to its HA management. A well-designed topology should include multiple nodes distributed across multiple physical hosts, data centers, or availability zones. This ensures that if one node or host fails, the cluster can continue to operate normally.
Amygdala XDR Load balancing manages the distribution of incoming requests across the nodes in the cluster. Load balancing can be achieved using various techniques, including DNS round-robin, hardware load balancers, or software-based load balancers
Monitoring is critical to ensuring that the Amygdala XDR cluster remains healthy and responsive. Various monitoring tools and techniques can be used to monitor the cluster's health, including Amygdala XDR's built-in monitoring modules, third-party monitoring tools, and custom scripts or plugins.
Amygdala XDR provides several replication mechanisms, including shard replication, index replication, and cross-cluster replication to copy data from one node to another to ensure that data is available even if one node fails.
Backup and recovery are important aspects of HA management in the Amygdala XDR. Regular backups of the cluster's data should be taken to ensure that data can be recovered in the event of a failure. Various backup and recovery tools can be used, including Amygdala XDR's built-in backup and restore modules, third-party backup tools, and custom scripts or plugins.
The Amygdala XDR HA architecture is designed to scale horizontally, meaning that new nodes can be added to the cluster to handle increased data traffic. The Load Balancer module ensures that the incoming data traffic is distributed across all the nodes in the cluster, providing a scalable and highly available system.
The Amygdala XDR HA architecture provides redundancy at multiple levels. For example, the Amygdala XDR Manager Cluster module provides redundancy by deploying multiple Amygdala XDR Manager nodes in an active-active configuration. This ensures that if one node fails, the other nodes can continue processing data without any disruption. Similarly, the Elasticsearch Cluster module provides redundancy by distributing data across multiple nodes in the cluster.
The Amygdala XDR HA architecture provides failover capabilities at multiple levels. For example, if a Amygdala XDR Manager node fails, the Load Balancer module automatically redirects the incoming data traffic to other active nodes in the cluster. Similarly, if an Elasticsearch node fails, the data is automatically redistributed to other nodes in the cluster.
The HA management modules in Amygdala XDR are designed to automatically configure themselves based on the number of nodes in the cluster. For example, the Correlation Rules Manager module ensures that the same set of correlation rules is applied across all the nodes in the cluster, regardless of their number.
The Amygdala XDR HA management modules provide real-time monitoring of the system's health and status. This ensures that any issues or failures can be quickly identified and resolved, minimizing any potential downtime.
The HA management module in Amygdala XDR support a variety of protocols and technologies, including:
The communication between the different nodes in the Amygdala XDR HA architecture is based on the TCP/IP protocol.
The communication between the Amygdala XDR Manager and Amygdala XDR Agents is encrypted using the HTTPS protocol. The Load Balancer module also supports HTTPS traffic.
The Elasticsearch Cluster module uses the Elasticsearch API to manage and store data.
The Correlation Rules Manager module provides a REST API for managing correlation rules.
The Kibana module provides a REST API for data visualization and analysis.
The Amygdala XDR Manager and Amygdala XDR Agents can send and receive data using the Syslog protocol.
Amygdala XDR Stack Management module allows users to manage various aspects of the Amygdala XDR stack. This tab can be accessed by clicking on the Stack Management icon on the left-hand side of the UI.
This module allows users to manage Amygdala XDR indices, including creating, deleting, and updating indices, as well as modifying index settings and mappings.
This module allows users to manage UI settings, including configuring index patterns, creating visualizations and dashboards, managing UI plugins, and more.
This module allows users to manage security settings in the Amygdala XDR stack, including configuring users and roles, managing access control, and configuring SSL/TLS encryption.
Amygdala XDR provides several replication mechanisms, including shard replication, index replication, and cross-cluster replication to copy data from one node to another to ensure that data is available even if one node fails.
This module allows users to manage Amygdala XDR settings, including configuring node settings, managing cluster settings, and managing data nodes.
This module allows users to manage Amygdala XDR Watcher settings, including configuring watches, managing watch history, and creating and managing actions.
The Stack management in Amygdala XDR provides several features that ensure high availability and fault tolerance of the system. Some of these features include:
Amygdala XDR Stack Management helps manage dependencies in the security platform by ensuring that only authorized and secure dependencies are used.
Amygdala XDR Stack Management provides version control modules that allow security teams to track changes to code and configuration files.
Amygdala XDR Stack Management automates the process of setting up development and testing environments for the security platform, including installing required software and configuring settings.
Amygdala XDR Stack Management integrates with continuous integration and deployment (CI/CD) tools to automate the process of building, testing, and deploying the security platform.
Amygdala XDR Stack Management provides configuration management modules that allow security teams to manage configuration files and settings for the security platform.
Amygdala XDR Stack Management provides compliance management modules that help security teams ensure compliance with relevant security standards and regulations.
Payment Card Industry Security Standard (PCI DSS): Amygdala XDR offers FIM and IDS capabilities that help organizations meet the PCI DSS requirements for file integrity monitoring and intrusion detection and prevention.
Amygdala XDR's log analysis and FIM capabilities help organizations comply with GDPR requirements for data protection and incident response.
Amygdala XDR's log analysis and IDS capabilities help healthcare organizations comply with HIPAA requirements for security monitoring and incident response.
Amygdala XDR aligns with the NIST Cybersecurity Framework, which is a set of guidelines for managing and reducing cybersecurity risk.
The regulatory compliance module of the Amygdala XDR is a key component of the platform, providing features such as:
The regulatory compliance module of Amygdala XDR helps organizations monitor their compliance with various security standards and regulations, such as PCI DSS, HIPAA, GDPR, and ISO 27001.
The module allows users to create customized compliance policies that are specific to their organization's needs and regulatory requirements.
The compliance module automates compliance checks to ensure that organizations are meeting the requirements of their chosen regulations. This helps to reduce the risk of non-compliance and associated penalties.
The compliance module provides real-time alerts for compliance violations, enabling organizations to quickly remediate any issues and maintain compliance.
Centralized management: The module provides a centralized dashboard for managing compliance, making it easy for organizations to view compliance status, policy violations, and remediation actions.
Reporting and audit trails: The compliance module provides detailed reports and audit trails that can be used to demonstrate compliance with regulations to auditors and regulators.
Integration with other Amygdala XDR modules: The compliance module is fully integrated with other Amygdala XDR modules, including intrusion detection, vulnerability assessment, and log analysis, providing a comprehensive security monitoring solution.
The regulatory compliance module of Amygdala XDR is designed to help organizations ensure that they comply with various security standards and regulations, such as PCI DSS, HIPAA, GDPR, and ISO 27001. This module provides a set of predefined rules and checks that are specific to each regulation and allows users to create customized policies that meet their specific needs.
The module’s functionality is based on the concept of auditing, which involves collecting data about the system’s configuration, events, and activities, and comparing them to a set of predefined rules to determine compliance status. The regulatory compliance module collects data from various sources, including system logs, network traffic, and system configuration files, and uses a combination of signature-based and anomaly-based detection techniques to identify potential compliance violations.
The module’s architecture consists of three main components: the data collection agent, the compliance engine, and the reporting and alerting system. The data collection agent is responsible for collecting data from various sources and forwarding it to the compliance engine. The compliance engine processes the collected data and compares it to the predefined rules and policies to determine compliance status. The reporting and alerting system provides real-time alerts and reports on compliance violations.
The compliance module’s predefined rules and policies cover a wide range of security controls, including access control, authentication, encryption, network security, and audit trails. These rules and policies are customizable, allowing organizations to tailor them to their specific needs and requirements.
The module provides real-time alerts and reports on compliance violations, allowing organizations to quickly identify and remediate issues. It also provides detailed reports and audit trails that can be used to demonstrate compliance with regulations to auditors and regulators.
The regulatory compliance module of the Amygdala XDR supports a variety of technologies and protocols for collecting data and performing compliance checks. These include:
Amygdala XDR can collect data from systems that send syslog messages, which is a standard protocol for sending log messages across a network.
Amygdala XDR can collect data from the Windows Event Log, which is a centralized log service built into the Windows operating system.
Amygdala XDR can monitor changes to system files and directories using file integrity monitoring (FIM) techniques, such as checksums and digital signatures.
Amygdala XDR can perform compliance checks on network traffic using techniques such as deep packet inspection (DPI) and network intrusion detection (NIDS).
Amygdala XDR can perform compliance checks on system configurations using configuration auditing techniques, such as comparing system configurations to predefined baselines.
Amygdala XDR can collect data from application logs, including logs generated by web servers, databases, and other applications.
The regulatory compliance module depends on the Amygdala XDR Manager, which is the central component of the Amygdala XDR platform. The Amygdala XDR Manager is responsible for receiving and processing data from data sources, and for forwarding compliance-related data to the compliance module.
The regulatory compliance module depends on the Amygdala XDR API, which provides a programmatic interface for managing the Amygdala XDR platform. The API is used by the compliance module to retrieve compliance-related data, such as compliance reports and alerts.
The regulatory compliance module depends on the Amygdala XDR agents, which are installed on the systems being monitored. The agents are responsible for collecting data from the monitored systems and forwarding it to the Amygdala XDR Manager for processing.
The Amygdala XDR Role-based Access (RBA) module allows your administrators to define access control policies for users and groups based on their roles or functions within an organization. This module enables organizations to restrict access to sensitive data and functions to only authorized users.
It works by defining roles, which are groups of permissions that determine what actions a user or group can perform within the system. Permissions can be granted or denied for specific resources, such as files, directories, or applications.
The RBA module can be configured through the Amygdala XDR API or the Amygdala XDR management application, which provides a web interface for managing roles and permissions. The module is flexible enough to allow administrators to define complex access control policies and can be integrated with other Amygdala XDR modules, such as the File Integrity Monitoring (FIM) and Vulnerability Detection (VulnDetect) modules.
The Role-based Access (RBA) module in Amygdala XDR offers several features, including:
The RBA module enables your administrators to define roles and permissions for users and groups based on their roles or functions within an organization. This allows for fine-grained control over who can access specific resources and functions within the system.
The module allows your administrators to grant or deny permissions for specific resources, such as files, directories, or applications. This helps to ensure that users only have access to the resources they need to perform their job functions.
The RBA module can be configured through the Amygdala XDR API or the Amygdala XDR management application, which provides a web interface for managing roles and permissions. This provides administrators with the flexibility to define complex access control policies that meet the needs of their organization.
The RBA module is integrated with other Amygdala XDR modules, such as the File Integrity Monitoring (FIM) and Vulnerability Detection (VulnDetect) modules. This allows for a comprehensive security solution that can detect and respond to threats across the entire system.
The RBA module provides an audit trail of all access requests and actions taken by users. This helps to ensure accountability and provides a record of who accessed what resources and when.
The RBA module integrates with LDAP servers to manage user authentication and authorization. This allows for centralized management of user accounts and access control policies.
The RBA module supports SAML for single sign-on (SSO) authentication. This allows users to log in once and access multiple systems without having to re-enter their credentials.
The RBA module uses TLS to encrypt network traffic and ensure secure communication between components.
The RBA module uses JSON to store role and permission information in configuration files and databases.
The RBA module provides a REST API for managing roles and permissions. This allows administrators to automate access control tasks and integrate the RBA module with other systems.
The RBA module uses the OpenAPI Specification to describe the REST API and provide documentation for developers.
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