Paloalto Networks PSE-Cortex Dumps

The best place to find official resource material for a product or solution is typically the Administrator’s guide. It contains authoritative, comprehensive, and up-to-date information on setup, configuration, troubleshooting, and best practices directly from the product's vendor.

A clear understanding of a customer’s technical expertise helps post-sales teams customize their support and training efforts to match the customer's knowledge level. This ensures that the customer receives the appropriate guidance, training, and resources needed to effectively use the product or solution after the sale.

Audit users in Cortex XSOAR have limited, read-only access to the system, which allows them to view information without making any changes. Full users, on the other hand, have read-write access, meaning they can both view and modify incidents, configurations, and other system components.

The Cortex XSOAR Starter Edition has a more limited capacity compared to Cortex XSOAR (SOAR + TIM). It includes up to 5 active threat intelligence feeds and a maximum of 100 indicators per fetch. In contrast, the SOAR + TIM version typically provides more extensive threat intelligence capabilities.

Cortex XSOAR automation helps save time during a phishing incident by purging unopened phishing emails from user mailboxes. This automated response reduces the need for manual intervention, allowing security teams to quickly contain the threat and prevent further exposure, while also enabling them to focus on more complex tasks.

Cortex Data Lake (now known as Strata Logging Service in some contexts, but still referred to as Cortex Data Lake for XDR purposes) is the cloud-based storage solution that supports Cortex XDR by storing endpoint telemetry, logs, and analytics data. The customer’s storage needs depend on the number of Cortex XDR clients, the subset forwarding data, the retention period, and the type of data stored (e.g., higher fidelity logs for advanced analytics). Let’s break down the problem step-by-step to determine the new storage requirement.

Initial Configuration:

Total Cortex XDR Clients: 300

Clients Forwarding Cortex XDR Data: 300 (all clients are forwarding data)

Retention Period: 30 days

Additional Requirement: Storage for higher fidelity logs to support Cortex XDR advanced analytics

Initial Storage Ordered: 2 TB

This configuration implies that 2 TB was sufficient to support 300 clients, all forwarding data, with a 30-day retention period, including the additional storage needed for advanced analytics logs.

New Configuration:

Total Cortex XDR Clients: 1,000

Clients Forwarding Cortex XDR Data: 300 (unchanged from the initial setup)

Retention Period: 30 days (unchanged)

Additional Requirement: Storage for higher fidelity logs to support Cortex XDR advanced analytics (unchanged)

The key change is the increase in total Cortex XDR clients from 300 to 1,000, but the number of clients forwarding data remains 300, and the retention period and analytics requirements are unchanged. We need to determine how this affects the storage requirement.

Cortex Data Lake Storage Sizing for Cortex XDR:

Palo Alto Networks provides sizing guidelines for Cortex Data Lake based on the number of endpoints forwarding data, the retention period, and the type of data stored. The storage requirement is primarily driven by:

Clients Forwarding Data: Only the endpoints actively sending telemetry to Cortex Data Lake (e.g., Cortex XDR Pro endpoints with enhanced data collection) contribute significantly to storage needs.

Retention Period: The number of days data is retained directly scales the storage requirement.

Data Type: Higher fidelity logs for advanced analytics (e.g., XDR Pro features like behavioral analytics) increase storage per endpoint compared to basic logs.

Cortex XDR Prevent: Provides basic endpoint protection with minimal data forwarding (e.g., alerts only), typically included in a 30-day retention baseline with minimal storage impact.

Cortex XDR Pro: Includes enhanced endpoint data collection (e.g., process execution, network activity) for advanced analytics, significantly increasing storage needs when enabled.

The problem states that all 300 initial clients were forwarding data, and the same 300 continue to do so in the new setup, with support for advanced analytics. This suggests these are likely Cortex XDR Pro clients, as Pro is required for full telemetry and analytics capabilities.

Storage Calculation:

Palo Alto Networks doesn’t publish exact per-endpoint storage figures publicly, but we can infer the requirement from the initial configuration and industry benchmarks:

Initial Setup (300 Clients, 30 Days, 2 TB):

2 TB supports 300 clients forwarding data for 30 days with advanced analytics.

Per client, this approximates to:2 TB÷300 clients=0.00667 TB/client2 \, \text{TB} \div 300 \, \text{clients} = 0.00667 \, \text{TB/client} 2TB÷300clients=0.00667TB/client or 6.67 GB per client for 30 days with higher fidelity logs.

This aligns with typical XDR Pro storage estimates, where enhanced data collection (e.g., 5-10 GB per endpoint per 30 days) is common depending on activity levels and analytics features.

New Setup (1,000 Total Clients, 300 Forwarding, 30 Days):

Clients Forwarding Data: Still 300, unchanged.

Retention: Still 30 days, unchanged.

Analytics Logs: Still required, unchanged.

Storage is driven by the 300 clients forwarding data, not the total number of clients. The additional 700 clients (1,000 - 300 = 700) are not forwarding data, suggesting they might be on Cortex XDR Prevent licenses or not fully activated for data collection, contributing negligible storage (e.g., only alerts, which are minimal).

Thus, the storage requirement remains:

300clients×6.67GB/client=2,001GB≈2TB

When preparing the golden image in a Cortex XDR Virtual Desktop Infrastructure (VDI) deployment, it is required to scan the image using the imageprep tool. This tool ensures that the image is properly configured for use in a VDI environment by preparing it for deployment with Cortex XDR.

Before requesting a Cortex XSOAR proof of value (POV) evaluation, it's important to gather a list of the different integrations that will need to be configured. This ensures that the POV can be tailored to the customer's environment and use cases, and allows the evaluation to be based on real-world data and workflows.

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As a Palo Alto Cortex Professional, I’ll provide a detailed explanation for Question 118: What must a customer deploy prior to collecting endpoint data in Cortex XSIAM? along with the reasoning and references based on Palo Alto Networks' official documentation and product knowledge.

Correct Answer: C. XDR Agent

Cortex XSIAM (Extended Security Intelligence and Automation Management) is an AI-driven security operations platform designed to centralize and automate security operations across an enterprise, including endpoint, network, cloud, and identity data. To collect endpoint data specifically, Cortex XSIAM relies on the Cortex XDR Agent, which is a lightweight software component installed on endpoints (such as laptops, desktops, or servers). This agent is responsible for gathering telemetry data, monitoring endpoint activity, and enforcing security policies, which are then sent to the Cortex XSIAM cloud for analysis, detection, and response.

Here’s why the XDR Agent is the correct choice and why the other options do not apply:

Option A: Playbook

Explanation: A playbook in Cortex XSIAM (or its predecessor, Cortex XSOAR) is a predefined workflow that automates incident response tasks, such as investigating alerts or remediating threats. While playbooks are critical for automation and orchestration, they are not involved in the initial collection of endpoint data. Playbooks operate on data that has already been collected and ingested into the system. Therefore, deploying a playbook is not a prerequisite for collecting endpoint data.

Conclusion: Incorrect.

Option B: Broker VM

Explanation: The Broker VM is an optional component in the Cortex ecosystem that can be deployed to enhance connectivity and functionality, such as acting as a proxy for endpoints to communicate with the Cortex cloud, collecting logs, or running additional services. While it can facilitate data forwarding or log collection in certain scenarios (e.g., from third-party sources), it is not a mandatory requirement for collecting endpoint data directly from devices managed by Cortex XSIAM. The XDR Agent can communicate with the Cortex cloud independently without a Broker VM.

Conclusion: Incorrect.

Option C: XDR Agent

Explanation: The Cortex XDR Agent is the core component required to collect endpoint data in Cortex XSIAM. It is installed on supported endpoints (e.g., Windows, macOS, Linux, or Android devices) and performs several key functions:

Data Collection: Gathers detailed telemetry, including process execution, file activity, network connections, and system events.

Prevention: Blocks exploits, malware, and fileless attacks using AI-driven techniques.

Detection and Response: Provides real-time data to the Cortex cloud for advanced analytics and incident investigation. Without the XDR Agent deployed on endpoints, Cortex XSIAM cannot collect the necessary data to monitor, detect, or respond to endpoint-based threats. This makes it the essential prerequisite for endpoint data collection.

Conclusion: Correct.

Option D: External Dynamic List (EDL)

Explanation: An External Dynamic List (EDL) is a feature in Palo Alto Networks’ ecosystem used to import and manage dynamic lists of indicators (e.g., IP addresses, URLs, or domains) for use in security policies or threat intelligence. While EDLs can enhance threat detection by providing additional context, they are not involved in the process of collecting endpoint data. They are a supplementary tool rather than a requirement for data collection.

Conclusion: Incorrect.

References from Palo Alto Networks:

Cortex XSIAM Datasheet (Palo Alto Networks):

"Cortex XSIAM unifies best-in-class security operations functions, including Endpoint Detection and Response (EDR)... The platform leverages the Cortex XDR Agent to prevent endpoint attacks and collect full telemetry for detection and response."

This highlights the XDR Agent’s role as the mechanism for endpoint data collection.

Cortex XSIAM Solution Brief (Palo Alto Networks):

"XSIAM requires the deployment of the XSIAM Endpoint Agent to appropriate and compatible endpoints to collect telemetry and enforce security."

This directly ties the agent to the data collection process.

Cortex XDR Agent Documentation (Palo Alto Networks Cortex Documentation Portal):

The agent is described as "a lightweight agent that stops threats with Behavioral Threat Protection, AI, and cloud-based analysis while collecting endpoint telemetry for extended detection and response."

Available at: docs-cortex.paloaltonetworks.com.

What is Cortex XSIAM? (Palo Alto Networks Website):

"Endpoint Protection Platform (EPP): Prevents endpoint attacks with a proven endpoint agent that blocks exploits, malware, and fileless attacks and collects full telemetry for detection and response."

This reinforces the agent’s foundational role in endpoint data collection.

Before deploying Cortex XSOAR, it’s important to consider whether communication with internal or external applications is required. This ensures that integrations and data flows between Cortex XSOAR and other tools or systems in the environment can be properly configured, enabling seamless automation and orchestration of security operations.

Cortex XSOAR provides automation and orchestration capabilities to help streamline security operations and enhance threat detection by integrating with existing security tools and automating responses.

Cortex XDR offers advanced detection and response across endpoints, networks, and cloud, helping to correlate security data, detect threats, and respond effectively, especially when dealing with diverse security data sources.

Cortex Data Lake (often referred to as Strata Logging Service in some contexts) is Palo Alto Networks’ cloud-based storage solution that centralizes security data for products like Cortex XDR, Prisma Access, and NGFWs. The question involves a customer who has activated a TMS (Tenant Management Service) tenant but has not purchased a Cortex Data Lake instance. TMS is part of the Palo Alto Networks ecosystem for managing tenants and services, typically associated with Cortex or Prisma deployments. Let’s break this down to determine the size of the free Cortex Data Lake instance provided in this scenario.

Understanding TMS and Cortex Data Lake:

TMS Tenant: The Tenant Management Service is a framework used to manage multiple tenants or instances within Palo Alto Networks’ cloud services (e.g., Cortex XDR, Prisma Access). Activating a TMS tenant implies the customer has initialized a management structure but hasn’t committed to a full Cortex Data Lake purchase.

Free Cortex Data Lake Instance: Palo Alto Networks provides a limited, free tier of Cortex Data Lake storage to customers who activate certain services or products, allowing them to evaluate functionality or store minimal data before committing to a paid license.

Free Storage Allocation:

When a customer activates a TMS tenant without purchasing a Cortex Data Lake instance, Palo Alto Networks allocates a default free storage capacity to enable basic functionality. According to official documentation and standard practices:

The free Cortex Data Lake instance provides 100 GB of storage.

This amount is intended for initial use cases, such as storing logs from a small number of endpoints (e.g., Cortex Xテゴ XDR Prevent agents), firewall logs, or trial data during evaluation periods.

Option Analysis:

A. 10 GB:

Analysis: 10 GB is too small to be a meaningful free tier for a product like Cortex Data Lake, which is designed to handle security telemetry from endpoints, networks, or cloud services. Even basic log storage for a few devices over a short period would exceed this quickly.

Conclusion: Incorrect.

B. 1 TB:

Analysis: 1 TB (1,000 GB) is a substantial amount of storage, typically associated with paid Cortex Data Lake subscriptions rather than a free tier. Offering this much for free would undermine the paid licensing model.

Conclusion: Incorrect.

C. 10 TB:

Analysis: 10 TB is even larger and aligns with enterprise-scale paid deployments, not a free instance. This size is far beyond what’s provided without a purchase.

Conclusion: Incorrect.

D. 100 GB:

Analysis: 100 GB is the documented size of the free Cortex Data Lake instance provided to customers who activate a tenant (e.g., via TMS) without purchasing additional storage. It’s sufficient for small-scale testing, such as storing logs from a handful of Cortex XDR agents or firewall data for a limited retention period (e.g., 30 days).

Conclusion: Correct.

Supporting Context:

Cortex XDR Example: For Cortex XDR Prevent customers, activating a tenant includes 100 GB of free Cortex Data Lake storage for 30 days of alert data (not full telemetry, which requires XDR Pro). This aligns with the TMS scenario, where basic tenant activation triggers the same free tier.

Prisma Access: Similarly, Prisma Access customers activating a tenant without a purchased Data Lake instance receive 100 GB for initial log storage.

Documentation: While exact wording may vary, Palo Alto Networks consistently references 100 GB as the free tier across product activation guides.

If a prospective customer is unable to run a product evaluation, Tech Rehearsal can be used to showcase Cortex XDR. A Tech Rehearsal provides a guided demonstration of the product's capabilities and features, allowing the customer to gain a deeper understanding of how it works in their environment without a formal evaluation.

The integration between Cortex Xpanse and Cortex XSOAR benefits security teams by enabling automatic incident response actions for internet-based incidents. This integration allows security teams to automate the detection, investigation, and response to threats identified through internet-facing assets, improving efficiency and reducing response time.

Cortex Xpanse uses continuous internet scanning to identify previously unknown assets. This feature allows the platform to continuously monitor the internet for new or unregistered assets that could be associated with an organization's network, providing real-time visibility into potential exposure or vulnerabilities.