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HPE Aruba Networking SSE is a cloud-delivered Security Service Edge platform that provides secure web gateway, ZTNA, CASB/DLP, and cloud firewall functions. Threat detection for remote web browsing relies heavily on full traffic inspection, including SSL inspection, URL filtering, and malware scanning.

In Aruba SSE deployments that protect web access from campus/branch or remote users, you:

Integrate the on-prem gateway or AOS-10 environment with SSE using an external web profile, which defines how traffic is sent to SSE.

Within that profile, you enable SSL inspection so that SSE can decrypt and inspect HTTPS traffic, allowing advanced threat detection, DLP, and malware scanning.

Option A: Custom file security profiles can tune malware scanning, but using a non-default profile is not mandatory for basic threat detection.

Option B: SSE already includes built-in anti-malware and sandboxing; it doesn’t require a separate third-party antivirus integration for core features.

Option C: Connectors in SSE are used mainly to reach private applications (ZTNA), not to “reach remote users” for general web browsing.

Therefore, an essential part of enabling threat detection for web browsing is creating an external web profile that enables SSL inspection → Option D.

To further protect the company from internal threats, you can recommend having the third-party SRX firewall send Syslogs to HPE Aruba Networking ClearPass Policy Manager (CPPM). ClearPass can analyze these logs to detect potential security incidents and coordinate with network devices to respond to threats. By integrating Syslog data from the firewall, CPPM can identify malicious activities and take actions such as locking internal attackers out of the network or triggering specific security policies. This approach enhances the company's internal threat detection and response capabilities.

Custom Device Fingerprinting on CPPM:

To create a custom fingerprint, you first need to connect a known device of that type to the network.

CPPM will discover the device in its Endpoints Repository, allowing you to analyze its attributes (e.g., MAC OUI, DHCP options) and create custom profiling rules.

Option Analysis:

Option A: Correct. Discovering a known device in the Endpoints Repository is a prerequisite for creating accurate custom fingerprint rules.

Option B: Incorrect. CPDI integration is not required for custom fingerprints on CPPM.

Option C: Incorrect. XML rules are not pre-defined; they are created dynamically based on observed attributes.

Option D: Incorrect. The "Automatically download Endpoint Profiler Fingerprints" setting is unrelated to custom profiling.

When enabling Wireless IDS/IPS infrastructure and client detection at a high level on HPE Aruba Networking APs without enabling prevention settings, HPE Aruba Networking recommends configuring detection at a custom level and adjusting settings to minimize false positives. This approach allows for effective monitoring while reducing the risk of unnecessary alerts and maintaining the accuracy of detections.

1.Custom Level Configuration: By customizing the detection settings, you can tailor the system to your specific environment, ensuring that only relevant threats are detected and reducing false positives.

2.False Positive Reduction: Disabling or tuning settings that are likely to produce false positives helps in maintaining the reliability of the detection system and prevents alert fatigue.

3.Focused Detection: Custom configuration ensures that the IDS/IPS focuses on critical detections, improving overall security posture.

Comprehensive Detailed Explanation

Virtual Network Based Tunneling (VNBT) is the appropriate technology for this use case because:

Traffic Steering: VNBT enables traffic from specific clients or devices to be tunneled through a predefined network path. This allows traffic to pass through intermediate devices such as third-party security appliances.

Policy Enforcement: VNBT can be configured to route traffic based on roles, VLANs, or other policy definitions, ensuring that only specified traffic flows are redirected to the security appliance.

Scalability: This approach simplifies the redirection of traffic without requiring complex physical rewiring or changes to the underlying network topology.

Other Options:

MC-LAG: Primarily used for high-availability and redundancy in multi-chassis link aggregation scenarios, not for traffic redirection through appliances.

Network Analytics Engine (NAE): Used for monitoring and analytics, not traffic steering or forwarding.

Device Profiles: Helps automate switch port configurations for specific device types but does not handle traffic redirection.

References

AOS-CX Virtual Network Based Tunneling (VNBT) documentation.

Aruba Switch Architecture and Traffic Flow Control Best Practices Guide.

MAC Spoofing Detection with Endpoint Conflict:

When two devices attempt to use the same MAC address, ClearPass identifies a Conflict state in the Endpoints Repository.

This condition can be used to detect and quarantine clients that spoof legitimate devices.

Option D: Correct. The Conflict EQUALS true condition identifies devices with duplicate MAC addresses.

Option A: Incorrect. Endpoint compliance checks posture, not MAC spoofing.

Option B: Incorrect. Device Insight Tags are used for profiling but do not identify conflicts.

Option C: Incorrect. Compromised devices relate to security incidents, not MAC address conflicts.

To enforce 802.1X authentication for Windows domain computers to HPE Aruba Networking ClearPass Policy Manager (CPPM) and have the computers authenticate as both machines and users in the same session, you should set up TEAP (Tunneled EAP) as the authentication method. TEAP supports both machine and user authentication within a single 802.1X session, making it suitable for scenarios where both types of authentication are required simultaneously.

For a company that lacks visibility into various types of user and IoT devices on its internal network, HPE Aruba Networking ClearPass Device Insight (CPDI) is the recommended solution. CPDI provides comprehensive visibility and profiling of all devices connected to the network. It uses machine learning and AI to identify and classify devices, offering detailed insights into their behavior and characteristics. This enhanced visibility enables the security team to effectively monitor and manage network devices, improving overall network security and compliance.

Comprehensive Detailed Explanation

HPE Aruba Networking ClearPass Device Insight (CPDI) uses machine learning to assign endpoints to clusters and provide classification recommendations. For CPDI to automatically classify endpoints, specific thresholds of confidence and supporting classified devices must be met.

The generally required thresholds are:

Minimum Confidence Level: Typically, CPDI requires a recommendation confidence level of at least 95%.

Minimum Supporting Devices: CPDI needs a cluster to include at least 10 classified devices to ensure the recommendation is statistically meaningful.

Analysis of Each Option:

A. 96% confidence with 13 classified devices: Meets both thresholds (confidence > 95% and ≥ 10 devices). CPDI will automatically classify endpoints in this scenario.

B. 98% confidence with 5 classified devices: Confidence level is sufficient, but the cluster lacks the minimum required 10 classified devices. Automatic classification does not occur.

C. 93% confidence with 36 classified devices: The confidence level is below the required 95%. Automatic classification does not occur.

D. 100% confidence with 4 classified devices: Confidence is ideal, but there are insufficient supporting classified devices. Automatic classification does not occur.

References

HPE Aruba ClearPass Device Insight Deployment Guide.

Aruba ClearPass Machine Learning and Device Classification Thresholds.

To show the security team information about MAC spoofing attempts detected by HPE Aruba Networking ClearPass Policy Manager (CPPM), you should use ClearPass Insight to run an Active Endpoint Security report. ClearPass Insight provides comprehensive reporting capabilities that include detailed information on security incidents, such as MAC spoofing attempts. By generating this report, you can provide the security team with a clear overview of the detected spoofing activities, including the endpoints involved and the context of the events.