In IBM QRadar, Device Support Modules (DSMs) are responsible for parsing raw event information received from external sources, such as network devices, security appliances, and applications. The DSMs extract relevant fields, normalize the data, and convert it into a format that can be ingested and processed by the QRadar SIEM (Security Information and Event Management) system. DSMs are essential in handling data from various sources and ensuring that the information is properly categorized and prepared for further analysis, correlation, and generation of offenses in QRadar.
The list that only consists of Rule Actions is: Modify Credibility; Annotate Event; Send to Forwarding Destinations; Dispatch New Event.
In IBM QRadar, the Data Node is a component responsible for storing and managing data in a QRadar deployment. It helps improve search performance by allowing more data to remain uncompressed, which results in faster search capabilities and more efficient data analysis. By keeping data in its original format, the Data Node minimizes the need for decompression during searches, leading to faster and more responsive search results for security analysts and administrators.
Advanced Search is the type of search that uses a structured query language to retrieve specified fields from the events, flows, and simarc tables in the context of IBM QRadar, a security information and event management (SIEM) solution. With Advanced Search, users can create more complex and customized search queries to analyze and investigate security-related events and network flows within the QRadar environment.
Log sources provide information such as user login actions, system events, application logs, network activities, security events, and more. They are responsible for generating logs containing valuable data related to various activities happening on the system or network, which can be collected and analyzed for security monitoring, troubleshooting, and compliance purposes. So, the correct answer is: User login actions
The mechanism that could be used to map a username to a user's manager and store it in a Reference Table, which can then be accessed in a search or a report, is: Reference Table lookup values can be accessed in an advanced search. In IBM QRadar, Reference Tables are used to store custom lookup data, and their values can be utilized in an advanced search to enrich event or flow data with additional information, such as mapping a username to the corresponding user's manager. By performing a Reference Table lookup in an advanced search, you can retrieve the manager's name based on the username, and then use this information to build more insightful searches, reports, or visualizations.
Events related to a specific offense are found under the "Offense Summary Page and List of Events window." The Offense Summary Page provides an overview of the offense, including its details and related events. By clicking on an offense, you can access the List of Events window, which displays all the events associated with that particular offense. This allows security analysts to investigate and analyze the events connected to the offense in one place.
When an event is received in QRadar, it goes through a process called parsing, where QRadar attempts to extract relevant information and fields from the raw event data. During this parsing process, QRadar tries to match the event with known event categories based on the device's DSM (Device Support Module) configuration. If the event is successfully parsed but QRadar cannot find a matching category in its existing configuration, the Low Level Category is marked as "Unknown." This means that QRadar recognizes the event and extracts some basic information from it, but it doesn't have a specific category mapping for this particular event. To better classify such events, administrators may need to customize or update the DSM configuration to provide a more accurate mapping for the event category or create a custom event mapping to handle these types of events in QRadar.
The "First Packet Time" represents the timestamp when the first packet of the flow was seen, the "Storage Time" represents the timestamp when the flow was stored in QRadar's database, and the "Last Packet Time" represents the timestamp when the last packet of the flow was seen. These timestamps provide important information about the flow and its timing within the QRadar system.
The saved searches that can be included on the Dashboard in IBM QRadar are: Event and Flow saved searches The Dashboard in QRadar allows you to customize the display by adding various widgets, including saved searches for events and flows. By including these saved searches, you can quickly access relevant data and insights related to security events and network flows, facilitating real-time monitoring and investigation of potential security threats.
The Report Wizard uses the following key elements to help create a report: Layout: Determines how the report will be organized and the arrangement of data on the report. Container: Provides a structure to hold the report content, such as tables, charts, or text. Content: The actual data and visualizations that will be displayed in the report, which includes tables, charts, and text sections. So, the correct answer is: Layout, Container, Content
The event magnitude is calculated as: As a weighted mean of the three properties Severity, Credibility, and Relevance of the Event The event magnitude is an important metric in IBM QRadar that helps security analysts prioritize and understand the potential impact of security events. It takes into account the severity of the event, the credibility of the data source reporting the event, and the relevance of the event to the organization's environment. By using a weighted mean of these three properties, QRadar calculates the event magnitude to provide a more comprehensive assessment of the events' significance and importance in the context of the security environment.
The maximum number of supported dashboards for a single user in IBM Cognos Analytics is 255.
Events are discrete occurrences that happen at a specific point in time, representing individual security incidents or log entries. They can be generated by systems, applications, or network devices to indicate certain actions or anomalies. On the other hand, flows are records of network communications between two devices, and they have a duration. Flows capture information about the source and destination IP addresses, ports, protocol, and the amount of data transferred during a communication session. In summary, flows represent ongoing network connections, while events represent specific moments in time when something of interest occurred.
To view the specific Category of Events associated with an Offense on the Offense Summary page in IBM QRadar, a Security Analyst should: Highlight the Category and click the Events icon Clicking on the specific Category and then selecting the Events icon will filter the events related to that Category, allowing the Security Analyst to investigate the events associated with the Offense further. This helps in understanding the details and context of the Offense by reviewing the relevant events.
This rule is looking for flows with high source bytes (greater than 200000) and multiple flows with the same Source IP, Destination Port, and Destination IP within a specific time window (12 minutes). This could indicate a potential data exfiltration or large data transfer, which might be a sign of data loss.
