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NEW QUESTION # 89
To stop a network-based attack, any interference with a portion of the attack pattern is enough to prevent it from succeeding. Which statement is correct regarding the Cortex XDR Analytics module?
Answer: B
Explanation:
The correct statement regarding the Cortex XDR Analytics module is D, it interferes with the pattern as soon as it is observed on the endpoint. The Cortex XDR Analytics module is a feature of Cortex XDR that uses machine learning and behavioral analytics to detect and prevent network-based attacks on endpoints. The Cortex XDR Analytics module analyzes the network traffic and activity on the endpoint, and compares it with the attack patterns defined by Palo Alto Networks threat research team. The Cortex XDR Analytics module interferes with the attack pattern as soon as it is observed on the endpoint, by blocking the malicious network connection, process, or file. This way, the Cortex XDR Analytics module can stop the attack before it causes any damage or compromise.
The other statements are incorrect for the following reasons:
A is incorrect because the Cortex XDR Analytics module does interfere with the attack pattern on the endpoint, by blocking the malicious network connection, process, or file. The Cortex XDR Analytics module does not rely on the firewall or any other network device to stop the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the interference.
B is incorrect because the Cortex XDR Analytics module does not interfere with the attack pattern as soon as it is observed by the firewall. The Cortex XDR Analytics module does not depend on the firewall or any other network device to detect or prevent the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the analysis and interference. The firewall may not be able to observe or block the attack pattern if it is encrypted, obfuscated, or bypassed by the attacker.
C is incorrect because the Cortex XDR Analytics module does need to interfere with the attack pattern to prevent the attack. The Cortex XDR Analytics module does not only detect the attack pattern, but also prevents it from succeeding by blocking the malicious network connection, process, or file. The Cortex XDR Analytics module does not rely on any other response mechanism or human intervention to stop the attack, but rather uses the Cortex XDR agent installed on the endpoint to perform the interference.
Reference:
Cortex XDR Analytics Module
Cortex XDR Analytics Module Detection and Prevention
NEW QUESTION # 90
What kind of malware uses encryption, data theft, denial of service, and possibly harassment to take advantage of a victim?
Answer: B
Explanation:
The kind of malware that uses encryption, data theft, denial of service, and possibly harassment to take advantage of a victim is ransomware. Ransomware is a type of malware that encrypts the victim's files or blocks access to their system, and then demands a ransom for the decryption key or the restoration of access. Ransomware can also threaten to expose or delete the victim's data if the ransom is not paid. Ransomware can cause significant damage and disruption to individuals, businesses, and organizations, and can be difficult to remove or recover from. Some examples of ransomware are CryptoLocker, WannaCry, Ryuk, and REvil.
Reference:
12 Types of Malware + Examples That You Should Know - CrowdStrike
What is Malware? Malware Definition, Types and Protection
12+ Types of Malware Explained with Examples (Complete List)
NEW QUESTION # 91
Which engine, of the following, in Cortex XDR determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident?
Answer: D
Explanation:
The engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident is the Causality Analysis Engine. The Causality Analysis Engine is one of the core components of Cortex XDR that performs advanced analytics on the data collected from various sources, such as endpoints, networks, and clouds. The Causality Analysis Engine uses machine learning and behavioral analysis to identify the root cause, the attack chain, and the impact of each alert. It also groups related alerts into incidents based on the temporal and logical relationships among the alerts. The Causality Analysis Engine helps to reduce the noise and complexity of alerts and incidents, and provides a clear and concise view of the attack story12.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Sensor Engine: This is not the correct answer. The Sensor Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Sensor Engine is the component that runs on the Cortex XDR agents installed on the endpoints. The Sensor Engine collects and analyzes endpoint data, such as processes, files, registry keys, network connections, and user activities. The Sensor Engine also enforces the endpoint security policies and performs prevention and response actions3.
C . Log Stitching Engine: This is not the correct answer. The Log Stitching Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Log Stitching Engine is the component that runs on the Cortex Data Lake, which is the cloud-based data storage and processing platform for Cortex XDR. The Log Stitching Engine normalizes and stitches together the data from different sources, such as firewalls, proxies, endpoints, and clouds. The Log Stitching Engine enables Cortex XDR to correlate and analyze data from multiple sources and provide a unified view of the network activity and threat landscape4.
D . Causality Chain Engine: This is not the correct answer. Causality Chain Engine is not a valid name for any of the Cortex XDR engines. There is no such engine in Cortex XDR that performs the function of determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident.
In conclusion, the Causality Analysis Engine is the engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident. By using the Causality Analysis Engine, Cortex XDR can provide a comprehensive and accurate detection and response capability for security analysts.
Reference:
Cortex XDR Pro Admin Guide: Causality Analysis Engine
Cortex XDR Pro Admin Guide: View Incident Details
Cortex XDR Pro Admin Guide: Sensor Engine
Cortex XDR Pro Admin Guide: Log Stitching Engine
NEW QUESTION # 92
What is the purpose of the Cortex Data Lake?
Answer: B
Explanation:
The purpose of the Cortex Data Lake is to provide a cloud-based storage facility where your firewall logs are stored. Cortex Data Lake is a service that collects, transforms, and integrates your enterprise's security data to enable Palo Alto Networks solutions. It powers AI and machine learning, detection accuracy, and app and service innovation. Cortex Data Lake automatically collects, integrates, and normalizes data across your security infrastructure, including your next-generation firewalls, Prisma Access, and Cortex XDR. With unified data, you can run advanced AI and machine learning to radically simplify security operations with apps built on Cortex. Cortex Data Lake is available in multiple regions and supports data residency and privacy requirements. Reference:
Cortex Data Lake - Palo Alto Networks
Cortex Data Lake - Palo Alto Networks
Cortex Data Lake, the technology behind Cortex XDR - Palo Alto Networks CORTEX DATA LAKE - Palo Alto Networks Sizing for Cortex Data Lake Storage - Palo Alto Networks
NEW QUESTION # 93
The Cortex XDR console has triggered an incident, blocking a vitally important piece of software in your organization that is known to be benign. Which of the following options would prevent Cortex XDR from blocking this software in the future, for all endpoints in your organization?
Answer: C
Explanation:
A global exception is a rule that allows you to exclude specific files, processes, or behaviors from being blocked or detected by Cortex XDR. A global exception applies to all endpoints in your organization that are protected by Cortex XDR. Creating a global exception for a vitally important piece of software that is known to be benign would prevent Cortex XDR from blocking this software in the future, for all endpoints in your organization.
To create a global exception, you need to follow these steps:
In the Cortex XDR management console, go to Policy Management > Exceptions and click Add Exception.
Select the Global Exception option and click Next.
Enter a name and description for the exception and click Next.
Select the type of exception you want to create, such as file, process, or behavior, and click Next.
Specify the criteria for the exception, such as file name, hash, path, process name, command line, or behavior name, and click Next.
Review the summary of the exception and click Finish.
Reference:
Create Global Exceptions: This document explains how to create global exceptions to exclude specific files, processes, or behaviors from being blocked or detected by Cortex XDR.
Exceptions Overview: This document provides an overview of exceptions and how they can be used to fine-tune the Cortex XDR security policy.
NEW QUESTION # 94
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