Fortinet NSE5_FSM-6.3 Practice Test - Questions Answers, Page 4

WMI Method: Windows Management Instrumentation (WMI) is a set of specifications from Microsoft for consolidating the management of devices and applications in a network.

Log Collection: WMI is used to collect various types of logs from Windows devices.

Security Logs: Contains records of security-related events such as login attempts and resource access.

Application Logs: Contains logs generated by applications running on the system.

System Logs: Contains logs related to the operating system and its components.

Comprehensive Data Collection: By using WMI, FortiSIEM can gather a wide range of event logs that are crucial for monitoring and analyzing the security and performance of Windows devices.

Reference: FortiSIEM 6.3 User Guide, Data Collection Methods section, which details the use of WMI for collecting event logs from Windows devices.

Discovery Methods in FortiSIEM: FortiSIEM can discover devices using various methods, including syslog, SNMP, and others.

Syslog Discovery: The exhibit shows that the FortiGate device is discovered by FortiSIEM using syslog.

Syslog Parsing: The syslog messages sent by the FortiGate device are parsed by FortiSIEM to extract relevant information.

CMDB Entry: Based on the parsed information, an entry is populated in the Configuration Management Database (CMDB) for the device.

Evidence in Exhibit: The exhibit shows the syslog flow from the FortiGate Firewall to the parsing and discovery process, resulting in the device being listed in the CMDB with the status 'Pending.'

Reference: FortiSIEM 6.3 User Guide, Device Discovery section, which explains how syslog discovery works and how devices are added to the CMDB based on syslog data.

Rule Evaluation in FortiSIEM: Rules in FortiSIEM are evaluated periodically to check if the defined conditions or subpatterns are met.

Frequency Field: The Frequency field in a rule determines the interval at which the rule's subpattern will be evaluated.

Evaluation Interval: This defines how often the system will check the incoming events against the rule's subpattern to determine if an incident should be triggered.

Impact on Performance: Setting an appropriate frequency is crucial to balance between timely detection of incidents and system performance.

Examples:

If the Frequency is set to 5 minutes, the rule will evaluate the subpattern every 5 minutes.

This means that every 5 minutes, the system will check if the conditions defined in the subpattern are met by the incoming events.

Reference: FortiSIEM 6.3 User Guide, Rules and Incidents section, which explains the Frequency field and how it impacts the evaluation of subpatterns in rules.

Anomaly Baseline Data: Anomaly baseline data refers to the statistical profiles and baselines calculated for various parameters to detect deviations indicative of potential security incidents.

Profile DB: The Profile DB is specifically designed to store such baseline data in FortiSIEM.

Purpose: It maintains statistical profiles for different monitored parameters to facilitate anomaly detection.

Usage: This data is used by FortiSIEM to compare real-time metrics against the established baselines to identify anomalies.

Reference: FortiSIEM 6.3 User Guide, Database Architecture section, which describes the different databases used in FortiSIEM and their purposes, including the Profile DB for storing anomaly baseline data.

Disaster Recovery (DR) Implementation: For FortiSIEM to effectively support disaster recovery, specific requirements must be met to ensure seamless failover and data integrity.

Layer 2 Connectivity: One of the critical requirements for implementing FortiSIEM DR is that the two supervisor nodes must have layer 2 connectivity.

Layer 2 Connectivity: This ensures that the supervisors can communicate directly at the data link layer, which is necessary for synchronous data replication and other DR processes.

Importance of Connectivity: Layer 2 connectivity between the supervisor nodes ensures that they can maintain consistent and up-to-date state information, which is essential for a smooth failover in the event of a disaster.

Reference: FortiSIEM 6.3 Administration Guide, Disaster Recovery section, which details the requirements and configurations needed for setting up disaster recovery, including the necessity for layer 2 connectivity between supervisor nodes.

Rule Subpattern Definition: In FortiSIEM, a subpattern within a rule is used to define specific conditions and criteria that must be met for the rule to trigger an incident or alert.

Components of a Subpattern: The subpattern includes the following elements:

Filters: Criteria to filter the events that the rule will evaluate.

Aggregation: Conditions that define how events should be aggregated or grouped for analysis.

Time Window Definitions: Specifies the time frame over which the events will be evaluated to determine if the rule conditions are met.

Explanation: Together, these components allow the system to efficiently and accurately detect patterns of interest within the event data.

Reference: FortiSIEM 6.3 User Guide, Rules and Patterns section, which explains the structure and configuration of rule subpatterns, including the use of filters, aggregation, and time window definitions.

Rule Notifications and Automated Remediation: In FortiSIEM, notifications and automated remediation actions can be configured to respond to specific incidents or alerts generated by rules.

Notification Policy: This is the section where administrators configure the settings for notifications and specify the actions to be taken when a rule triggers an alert.

Configuration Options: Includes defining the recipients of notifications, the type of notifications (e.g., email, SMS), and any automated remediation actions that should be executed.

Importance: Proper configuration of notification policies ensures timely alerts and automated responses to incidents, enhancing the effectiveness of the SIEM system.

Reference: FortiSIEM 6.3 User Guide, Notifications and Automated Remediation section, which details how to configure notification policies for rule-triggered actions and responses.

Rules Engine in FortiSIEM: The rules engine evaluates incoming events based on defined conditions to detect incidents and anomalies.

Aggregation Condition: The aggregation condition instructs FortiSIEM to summarize and count the matching evaluated data.

Function: Aggregation is used to group events based on specified criteria and then perform operations such as counting the number of occurrences within a defined time window.

Purpose: This allows for the detection of patterns and anomalies, such as a high number of failed login attempts within a short period.

Reference: FortiSIEM 6.3 User Guide, Rules Engine section, which explains how aggregation is used to summarize and count matching data.

Grouping Events: Grouping events by specific attributes allows for the aggregation of similar events.

Grouping Criteria: For this question, events are grouped by 'Reporting IP,' 'Event Type,' and 'User.'

Unique Combinations Analysis:

10.10.10.10, Failed Logon, Ryan, 1.1.1.1, Web App

10.10.10.11, Failed Logon, John, 5.5.5.5, DB

10.10.10.10, Failed Logon, Ryan, 1.1.1.1, Web App (duplicate, counted as one unique result)

10.10.10.10, Failed Logon, Paul, 3.3.2.1, Web App

10.10.10.11, Failed Logon, Ryan, 1.1.1.15, DB

10.10.10.11, Failed Logon, Wendy, 1.1.1.6, DB

10.10.10.10, Failed Logon, Ryan, 1.1.1.15, DB

Result Calculation: There are seven unique combinations based on the specified grouping attributes.

Reference: FortiSIEM 6.3 User Guide, Event Management and Reporting sections, explaining how events are grouped and reported based on selected attributes.