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| Section | Objectives |
|---|---|
| Network Security Architecture Principles | - Security architecture frameworks and design principles - Risk assessment and security requirements mapping - Zero Trust architecture concepts |
| Threat Prevention and Security Services | - Application identification and policy enforcement - Decryption and SSL inspection architecture - Threat prevention design (IPS, anti-malware, URL filtering) |
| Palo Alto Networks Platform Architecture | - Next-Generation Firewall (NGFW) architecture and capabilities - Logging, monitoring, and visibility architecture - Panorama centralized management design |
| Automation and Integration | - API-based automation and orchestration - Integration with SIEM and SOAR platforms - Infrastructure as Code security integration |
| SASE and Secure Access Design | - Prisma Access architecture - SD-WAN integration and design considerations - Remote access security architecture |
| Cloud Security Architecture | - Container and workload protection architecture - Cloud network security design (AWS, Azure, GCP) - Prisma Cloud security architecture concepts |
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NEW QUESTION # 18
An architect must design secure remote access for users. Which solution is MOST appropriate?
Answer: C
Explanation:
GlobalProtect provides secure remote access with user authentication, device posture checks, and policy enforcement. It ensures secure connectivity compared to basic network configurations.
NEW QUESTION # 19
A global manufacturing organization with 50,000 employees spanning 35 countries designs advanced industrial equipment and owns significant intellectual property. The organization operates in a highly competitive market where protecting trade secrets is critical to maintaining market advantage.
Over the past 18 months, the CISO discovered that employees across the organization have adopted hundreds of GenAI applications to improve productivity. Engineers use AI coding assistants to accelerate product development sales teams use AI tools to generate proposals, and customer service representatives use chatbots to draft responses. While this adoption has driven innovation, it has also created significant security risks.
A security audit reveals sensitive CAD files uploaded to image-generation services, proprietary source code shared with public coding assistants, and confidential customer information used in prompts. The audit identifies over 300 different GenAI applications in use, most of which had not been formally reviewed or approved.
The customer service department has also been developing internal AI applications, including a customer service copilot built on a cloud large language model (LLM) platform, an internal knowledge management assistant, and a code review tool. These internal applications access sensitive databases, customer records and internal APIs - creating additional security concerns about exploitation or misuse.
The organization has a distributed workforce in which 60% of employees work remotely or in hybrid arrangements, accessing corporate resources and AI applications from various locations using managed and unmanaged devices. Existing network security infrastructure lacks AI-specific security capabilities.
Organization leadership wants to enable AI-driven innovation while implementing comprehensive security controls. The CISO has been tasked with developing an organization-wide GenAI governance program that protects sensitive assets without hindering productivity. The program must address both external AI applications employees are using and internal AI applications being developed by IT.
Which enforcement solution can the CISO recommend to control GenAI data exfiltration?
Answer: C
Explanation:
AI Access Security is designed to control and govern user interactions with external GenAI applications, including inspecting prompts and responses and applying DLP policies to prevent sensitive data exfiltration. It provides inline enforcement for SaaS-based AI usage across distributed users, which directly addresses the risk of confidential data being exposed through third-party GenAI tools.
NEW QUESTION # 20
An organization has a directive to adopt a Zero Trust framework focused on using identity and role-based access groups, device security and content inspection across all Security policies. To achieve this goal, an Enterprise License Agreement (ELA) was purchased, including Advanced Threat Prevention, IoT Security, and GlobalProtect.
The current security architecture uses Panorama to manage 60 NGFWs - a mix of PA-3240, PA-1410, and PA-440. Sites with PA-3240s host private application resources in the trust data center zone All sites have an untrust zone for internet access and a users zone for managed and unmanaged endpoint devices. A transit mesh zone exists to establish site-to-site connectivity through PAN-OS SD-WAN.
Privately hosted applications include web servers, SMB and NFS file servers and hosted Active Directory. The organization is in the process of adopting group mapping restrictions to these private applications, with daily additions of groups. It is also planning to build AI applications to assist the data teams with complex queries that will be hosted in the large offices containing data centers and is exploring hosting in the public cloud.
The organization uses on-premises Exchange, Dropbox, Zoom, and ChatGPT. There are a number of shadow SaaS applications that require further investigation. Users have been using Google Drive to upload confidential files within the organization by using their personal logins.
IoT devices on the network are associated on their own VLAN on the users zone. Using Device Security, all IoT devices have been categorized by asset profiles with medium or high confidence, policy sets imported into Panorama, and a default deny applied to the IoT networks.
The organization has rolled out SSL decryption and is using URL categorization for the majority of content filtering. Malicious categories, unknown and high-risk websites are blocked, with the remainder of sites set to alert.
Which deployment method should the architect suggest for enabling User-ID based rules, restricting or allowing access as close to the source as possible, while minimizing operational overhead?
Answer: A
Explanation:
The Cloud Identity Engine uses a lightweight Cloud Identity Agent for on-premises directories, while SCIM is for cloud-native identity providers. In this environment, the organization hosts Active Directory on-premises and needs scalable, centralized user and group synchronization for many firewalls with low operational overhead, so deploying the Cloud Identity Agent to sync user groups to the Cloud Identity Engine and the firewalls is the best fit.
NEW QUESTION # 21
A retail organization wants to sanction the use of a particular third-party SaaS-based AI application for inventory management. This application will need network layer data access to the organization's internal supply chain database with confidential information highly secured in its own DMZ. The implementation is delayed because the CISO is concerned that the sanctioned third-party AI application could get compromised and then used to exfiltrate customer PH from the internal database. Which solution will address the CISO's concern?
Answer: C
Explanation:
Enterprise DLP integrated with AI Access Security inspects traffic to and from the SaaS application and can detect sensitive data such as customer PII. It enforces policies to prevent exfiltration even if the application is compromised, allowing the organization to safely sanction the AI application while protecting confidential data.
NEW QUESTION # 22
An organization wants to reduce attack surface by allowing only sanctioned applications while blocking unknown traffic. What is the BEST approach?
Answer: D
Explanation:
An allow-list using App-ID ensures only approved applications are permitted, reducing attack surface significantly. Blocking ports alone is insufficient because applications can use non- standard ports. Antivirus profiles detect threats but do not enforce application-level access control.
NEW QUESTION # 23
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