Eliminate Risk of Failure with Fortinet NSE5_FSM-6.3 Exam Dumps

Search Filters in FortiSIEM: When searching for specific events, administrators can use various attributes to filter the results.

Attribute for Agent Events: To view events received specifically from Linux and Windows agents, the attribute External Event Receive Agents should be used.

Function: This attribute filters events that are received from agents, distinguishing them from events received through other protocols or sources.

Search Efficiency: Using this attribute helps the administrator focus on events collected by FortiSIEM agents, making the search results more relevant and targeted.

References: FortiSIEM 6.3 User Guide, Event Search and Filters section, which describes the available attributes and their usage for filtering search results.

FortiSIEM Linux Agent: The FortiSIEM Linux agent is used to collect logs and performance metrics from Linux servers and send them to the FortiSIEM system.

Prerequisite for Installation: The auditd service, which is the Linux Audit Daemon, must be installed and running on the Linux server to capture and log security-related events.

auditd Service: This service collects and logs security events on Linux systems, which are essential for monitoring and analysis by FortiSIEM.

Importance of auditd: Without the auditd service, the FortiSIEM Linux agent will not be able to collect the necessary event data from the Linux server.

References: FortiSIEM 6.3 User Guide, Linux Agent Installation section, which lists the prerequisites and steps for installing the FortiSIEM Linux agent.

Anomaly Data Storage: Anomaly data, including running averages and standard deviation values for different parameters such as traffic and device resource usage, is stored in a specific database.

Profile DB: The Profile DB is used to store this type of anomaly data.

Function: It maintains statistical profiles and baselines for monitored parameters, which are used to detect anomalies and deviations from normal behavior.

Significance: Storing anomaly data in the Profile DB allows FortiSIEM to perform advanced analytics and alerting based on deviations from established baselines.

References: FortiSIEM 6.3 User Guide, Database Architecture section, which describes the purpose and contents of the Profile DB in storing anomaly and baseline data.

Collecting SIEM and PAM Events: To collect both SIEM event logs and Performance and Availability Monitoring (PAM) events from a Microsoft Windows server, a suitable protocol must be selected.

WMI Protocol: Windows Management Instrumentation (WMI) is the appropriate protocol for this task.

SIEM Event Logs: WMI can collect security, application, and system logs from Windows devices.

PAM Events: WMI can also gather performance metrics, such as CPU usage, memory utilization, and disk activity.

Comprehensive Data Collection: Using WMI ensures that both types of data are collected efficiently from the Windows server.

References: FortiSIEM 6.3 User Guide, Data Collection Methods section, which details the use of WMI for collecting various types of logs and performance metrics.

Monitor Column Indicators: In FortiSIEM, the Monitor column displays the status of various metrics applied during the discovery process.

Yellow Star Meaning: A yellow star next to a metric indicates that the metric was successfully applied during discovery and data has been collected for that metric.

Successful Data Collection: This visual indicator helps administrators quickly identify which metrics are active and have data available for analysis.

References: FortiSIEM 6.3 User Guide, Device Monitoring section, which explains the significance of different icons and indicators in the Monitor column.