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Device-ID, as a feature on Palo Alto Networks NGFWs and integrated with IoT Security, provides visibility into the types of devices communicating on the network. Which of the following network attributes or protocols can Device-ID leverage to help identify and profile connected devices (including IoT devices)? (Select all that apply)
A. Reading the Serial Number of the device remotely via SNMP.
B. User-Agent strings in HTTP/HTTPS traffic
C. Specific protocols and communication patterns observed in the traffic (e.g., Modbus, BACnet, specific IoT protocols)
D. DHCP option fields (e.g., Option 60 - Vendor Class Identifier)
E. OS fingerprinting based on TCP/IP stack characteristics
Answer: B,C,D,E
Explanation:
Device-ID (and the underlying technology leveraged by IoT Security) uses various passive methods to fingerprint and identify devices based on their network behavior and communication characteristics. - Option A (Correct): DHCP options, particularly the Vendor Class Identifier, often contain information about the device manufacturer or model. - Option B (Correct): User-Agent strings in web traffic can reveal details about the browser, OS, and sometimes the device type (e.g., mobile vs. desktop). - Option C (Correct): Different operating systems and network stacks have unique ways of handling TCP/IP (e.g., initial window size, TTL values, flag combinations). Device-ID can fingerprint devices based on these characteristics. - Option D (Correct): Many IoT devices use specific industry protocols or exhibit unique communication patterns. Identifying these protocols (like Modbus for industrial control) and patterns helps classify the device. - Option E (Incorrect): Device-ID is primarily a passive identification technology based on traffic analysis, not active management protocols like SNMP that require authentication and configuration on the endpoint.
NEW QUESTION # 64
When onboarding IoT devices for visibility and security using Palo Alto Networks platforms with the IoT Security subscription, which of the following is the primary method the NGFW or Prisma Access uses to gain visibility into the IoT traffic and identify the devices communicating on the network?
A. Analyzing network traffic flows passing through the firewall to identify device types based on communication patterns, protocols, and metadata.
B. Installing an agent on each IoT device to report its characteristics and communication patterns.
C. Performing active scans of network subnets to discover and profile IoT devices.
D. Integrating with endpoint detection and response (EDR) agents deployed on IoT devices.
E. Relying on SNMP traps from network switches to identify device connections.
Answer: A
Explanation:
Palo Alto Networks IoT Security focuses on passive analysis of network traffic to identify and profile IoT devices without requiring agents on the devices themselves, which is often impossible or impractical for IoT. - Option A: Most IoT devices do not support installing third-party agents. - Option B (Correct): The NGFW or Prisma Access acts as a sensor, inspecting traffic flows (packet headers, protocols, behavioral patterns, connection destinations) as they pass through. This passive analysis is fed to the IoT Security cloud service, which uses machine learning and a vast database of known IoT devices and their behaviors to profile and categorize the devices. - Option C: Active scanning is generally avoided for IoT devices as it can disrupt their operation or be unreliable. - Option D: EDR agents are not typically deployable on IoT devices. - Option E: SNMP traps from switches can provide information about device connectivity but not the deep traffic analysis needed for device profiling and behavioral anomaly detection provided by the IoT Security subscription.
NEW QUESTION # 65
A security operations center (SOC) analyst is responsible for monitoring security events for users connected to Prisma Access. They need to access a centralized repository of logs generated by the Prisma Access service edges to investigate incidents, analyze traffic patterns, and generate reports. Which Palo Alto Networks cloud-based service provides this centralized logging functionality for Prisma Access?
A. Prisma SD-WAN Cloud Management Console
B. Legacy Syslog server
C. Prisma Cloud
D. Cortex Data Lake (formerly Strata Logging Service)
E. Panorama M-Series appliance
Answer: D
Explanation:
Cortex Data Lake (CDL), previously known as the Strata Logging Service, is the dedicated cloud-based log collection and storage service for Palo Alto Networks next-generation firewalls (PA-Series, VM-Series, CN-Series) and cloud-delivered security services like Prisma Access and Prisma SD-WAN. It provides a centralized repository for logs from distributed devices/services, enabling comprehensive monitoring and analysis. Option A is for managing SD-WAN. Option B is for cloud security posture management. Option D is an on-premises hardware appliance for management, not the primary cloud logging service. Option E is a generic logging solution, not the integrated Palo Alto Networks cloud service.
NEW QUESTION # 66
An organization is using Panorama to manage its PA-Series firewalls and has integrated Prisma Access logging with Panorama's Log Collector. The security team wants to generate a report that shows all traffic sessions that were denied by any security policy rule across all managed firewalls and Prisma Access nodes, grouped by the denying policy rule name and showing the source user and destination application. Which of the following steps or considerations are necessary to build this comprehensive report in Panorama? (Select all that apply)
A. Include columns for 'Rule Name', 'Source User', and 'Application' in the custom report definition.
B. Create a custom report in Panorama's Monitor > Reports tab, filtering for Log Type 'Traffic' and Action 'deny'.
C. Ensure that all relevant Security Policy rules on managed firewalls and Prisma Access are configured with logging enabled.
D. Generate the report using System logs, as they contain policy violation details.
E. Ensure that traffic logs from all managed firewalls and Prisma Access nodes are successfully being forwarded to the Panorama Log Collector.
Answer: A,B,C,E
Explanation:
Generating comprehensive reports across multiple devices/services requires data availability and correct reporting configuration. - Option A (Correct): Policy rule logs must be enabled on the individual firewalls/Prisma Access nodes. If a deny rule doesn't have logging enabled, sessions hitting it won't be recorded in the traffic logs. - Option B (Correct): Logs must be successfully collected in Panorama (or CDL if Panorama is forwarding to it). If logs are not forwarded correctly, the central repository won't have the data. - Option C (Correct): You use the 'Traffic' log type because it contains details about allowed/denied sessions, and you filter for the 'deny' action. - Option D (Correct): To see the requested information (rule name, user, application), you must include these fields as columns in the report output. The firewall logs capture this information (assuming User-ID and App-ID were operational). - Option E (Incorrect): System logs are for firewall operational events, not details of denied traffic sessions.
NEW QUESTION # 67
In addition to identifying device types and vulnerabilities, the Palo Alto Networks IoT Security subscription also performs behavioral analytics on IoT traffic. If the platform detects a 'High' severity behavioral anomaly from a device (e.g., unexpected communication with an external IP, unusual data transfer size), how is this intelligence typically integrated with the NGFW for policy enforcement or alerting?
A. The IoT Security cloud service automatically changes the firewall's security policy to block the anomalous communication.
B. The NGFW sends the full packet capture of the anomalous traffic to WildFire for detailed analysis.
C. The anomaly triggers a 'Threat' log entry with a specific threat ID and severity on the NGFW/Panorama/CDL.
D. An alert is generated in the IoT Security dashboard, but no immediate action is taken on the NGFW.
E. The anomalous device is automatically moved into a 'High-Risk IoT' dynamic device group, which can be used as a matching criterion in Security Policy rules with a 'deny' action.
Answer: C,E
Explanation:
Behavioral anomalies detected by IoT Security are integrated for alerting and policy enforcement. - Option A (Correct): Behavioral anomalies are typically logged as specific event types, often categorized as threats or system events with a relevant severity, visible in the NGFW/Panorama/CDL logs for investigation. - Option B (Incorrect): The cloud service doesn't automatically modify the firewall's security policy. Policy changes are managed by the administrator. - Option C (Correct): Detecting a high-severity anomaly can cause the device to be automatically classified into a dynamic device group representing high-risk devices. Administrators can then leverage this group in Security Policies to isolate or restrict traffic from such devices automatically upon reclassification. - Option D: An alert is generated, but automated actions via policy integration (as described in A and C) are possible and intended. - Option E: While WildFire analyzes files and potentially stream content, behavioral analysis is distinct and doesn't necessarily involve sending full packet captures to WildFire for every anomaly.
NEW QUESTION # 68
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