Fortinet NSE7_ADA-6.3 Dumps

You can invoke an integration policy on FortiSIEM rules by configuring the Notification Policy settings. You can select an integration policy from the drop-down list and specify the conditions for triggering it. For example, you can invoke an integration policy when an incident is created, updated, or closed. References: Fortinet NSE 7 - Advanced Analytics 6.3 Exam Description, page 9

The rule evaluates multiple VPN logon failures within a ten-minute window. The rule will generate an incident if there are more than three VPN logon failures from the same source IP address within a ten-minute window. Based on the VPN failure events received within a ten-minute window, there are two incidents generated:

• One incident for source IP address 10.10.10.10, which has four VPN logon failures at 09:01, 09:02, 09:03, and 09:04.
• One incident for source IP address 10.10.10.11, which has four VPN logon failures at 09:06, 09:07, 09:08, and 09:09.

FortiSIEM allows EPS bursting to handle event spikes without dropping events or violating the license agreement. EPS bursting means that FortiSIEM will let you burst up to five times the licensed EPS at any given time, provided it has accumulated enough unused EPS from previous time intervals.

phRuleMaster is a process that performs rule evaluation and incident generation on FortiSIEM. phRuleMaster queues up the data being received from the phRuleWorkers into buckets based on time intervals, such as one minute, five minutes, or ten minutes. phRuleMaster is present on both the supervisor and workers nodes of a FortiSIEM cluster. phRuleMaster wakes up every 30 seconds to evaluate all the rule data in parallel using multiple threads.

The natural_id value identifies the collector in the FortiSIEM system. The natural_id is a unique identifier that is assigned to each collector during the registration process with the supervisor. The natural_id is used to associate events and performance data with the collector that collected them.

The disadvantage of automatic remediation is that it can make a disruptive change to a user, block access to an application, or disconnect critical systems from the network. Automatic remediation can have unintended consequences if not carefully planned and tested. Therefore, it is recommended to use manual or semi-automatic remediation for sensitive or critical systems. References: Fortinet NSE 7 - Advanced Analytics 6.3 Exam Description, page 15

The mistake that the administrator made is that customer A and customer B have overlapping IP addresses. This will cause confusion and errors in event collection and correlation, as well as CMDB discovery and classification. To avoid this problem, each customer should have a unique IP address range or use NAT to translate their IP addresses.

The processes associated with Machine Learning/AI on FortiSIEM are phFortiInsightAI and phAnomaly. phFortiInsightAI is responsible for detecting anomalous user behavior using UEBA (User and Entity Behavior Analytics) techniques. phAnomaly is responsible for detecting anomalous network behavior using NTA (Network Traffic Analysis) techniques.

The user who would meet that condition is Tom. Tom has four rows in the results where the COUNT is greater than or equal to three, meaning he had at least three SSL VPN logon failures from the same source IP and reporting IP. The other users have either less than three rows or less than three COUNT in each row.

The modes of Data Ingestion on FortiSOAR are notification based, app push, and schedule based. Notification based mode allows FortiSOAR to receive data from external sources via webhooks or email notifications. App push mode allows FortiSOAR to receive data from external sources via API calls or scripts. Schedule based mode allows FortiSOAR to pull data from external sources at regular intervals using connectors. References: Fortinet NSE 7 - Advanced Analytics 6.3 Exam Description, page 17