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An organization wants to reduce attack surface by allowing only sanctioned applications while blocking unknown traffic. What is the BEST approach?

• A. Allow all and monitor logs
• B. Block all ports except 80/443
• C. Use only antivirus profiles
• D. Use App-ID with allow-list policy

You must ensure high availability for critical firewall deployments. What configuration should you implement?

• A. Static routing only
• B. Manual failover
• C. Active/Passive HA
• D. Single firewall

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 architectural approach best aligns with the organization's strategic objectives to enable AI innovation and protect sensitive assets?

• A. Block external GenAI applications at the firewall and empower employees to use internally developed AI applications.
• B. Deploy a cloud-delivered security platform with AI-aware controls integrated with identity and device posture
• C. Segment network zones within each data center to isolate AI workloads from critical IP address repositories and monitor east-west traffic
• D. Rely on existing perimeter firewalls and VPN concentrators applying standard URL filtering and data loss prevention (DLP) policies for AI traffic

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?

• A. Panorama device template with a group mapping profile with group allow list to reduce group update time on the firewalls
• B. Cloud Identity agent to sync user groups to the Cloud Identity Engine and the firewalls
• C. Panorama device template for data redistribution, referencing primary and secondary Panoramas as the User-ID agent
• D. Cloud Directory via SCIM to sync user groups to the Cloud Identity Engine and the firewalls

A company wants to reduce false positives in threat detection while maintaining strong security.
What should they do?

• A. Allow all traffic
• B. Disable security profiles
• C. Remove logging
• D. Tune security profiles and exceptions