The appropriate rule type to use in the DLP profile for a document that is considered confidential when filled out isfingerprint classification. Fingerprinting is a method used to identify and protect sensitive data within documents. It works by creating a digital fingerprint of a file, which can then be used to detect any copies or derivatives of that file.In this case,fingerprinting would allow the hospital to differentiate between the blank patient form, which can be freely shared, and the same form with patient information filled out, which is confidential1.

References: Netskope’s DLP rules can contain elements such as predefined data identifiers, custom data identifiers, keyword identifiers from a dictionary file, RegEx expressions, and exact match criteria1.For this specific use case, fingerprint classification is the most effective method as it can accurately detect the presence of filled-out information in the forms, which is crucial for maintaining patient confidentiality as per HIPAA regulations1.

Sankey diagram

Sankey diagram

To produce a Sankey Tile in a report that visually represents the top 10 applications by number of objects and their risk score, you would need:

• Dimension (A): This field type would be used to represent the nodes in the Sankey visualization, which could be the applications in this case1.
• Measure (B): This field type would provide the weight of the links between the nodes, representing the number of objects or the risk score associated with each application1.

These two field types are essential for creating a Sankey visualization as they define the structure and flow of data between different stages or categories within the visualization.

References: The requirements for creating a Sankey visualization are based on the general principles of data visualization and the specific features of Sankey diagrams, which typically involve dimensions and measures to represent the flow of data1.

To ensure that the web application using HTTPS on port 6443 is both reachable and decrypted by Netskope, the correct action is toenable “Steer non-standard ports” in the steering configuration and add the domain and port as a new non-standard port. This is because Netskope’s default configuration steers standard HTTP/HTTPS traffic, typically on ports 80 and 443.Since port 6443 is a non-standard port for HTTPS traffic, it requires explicit configuration to be steered through Netskope1.

References: The process for configuring non-standard ports in Netskope is detailed in the Netskope Knowledge Portal, which provides step-by-step instructions on how to steer HTTP(S) traffic over non-standard ports1. This includes adding the specific non-standard port number in the steering configuration to ensure that traffic to and from that port is properly handled by Netskope.

To extract events and alerts from the Netskope Security Cloud platform and integrate them with a SIEM (Security Information and Event Management) solution, you can utilize the following supported methods:

• Cloud Log Shipper (CLS):

The reported issue of slow website and SaaS application access for users in the San Francisco branch office, despite being connected to a Netskope data plane in New York, can be attributed to the geographical distance between the user location and the data plane. The Netskope Security Cloud operates through a distributed network of data planes strategically placed in various regions. When users connect to a data plane that is geographically distant, it can result in latency due to longer network traversal times. In this case, the closest Netskope data plane to San Francisco might be unavailable or experiencing high load, leading to performance issues. To address this, consider optimizing data plane selection based on proximity to the user location or investigating any data plane availability or performance issues.

References:

• Netskope Cloud Security
• Netskope Resources
• Netskope Documentation

To validate that the GRE tunnel is configured correctly and that traffic is flowing to Netskope, the correct statements are:

• A: You can use your local router or network device to verify that keepalives are being received and traffic is flowing to Netskope. This is a standard method for checking the health and activity of a GRE tunnel.
• C: You can verify that the tunnel is up and receiving traffic in the Netskope UI under Settings > Security Cloud Platform > GRE. This is a feature provided by Netskope to monitor the status of GRE tunnels directly from the Netskope interface12.

Statement B is incorrect because Netskope provides its own tools for monitoring the status of the tunnel. Statement D is incorrect because the Netskope Trust portal provides information on the overall service status and updates, not specific tunnel status3.

References: The references for these answers can be found in the Netskope Knowledge Portal, which provides detailed guidance on configuring and validating GRE tunnels12. Additionally, the Netskope Community Forum offers insights and solutions for deploying and monitoring GRE tunnels

• The inconsistent results observed during User Acceptance Testing (where marketing users sometimes access gambling sites and sometimes are blocked) are likely due to the configuration of the Forward Proxy.
• Cookie Surrogate: The Cookie Surrogate is a mechanism used in Forward Proxy deployments to maintain user context across multiple requests. It ensures that user-specific policies are consistently applied even when multiple users share the same IP address (common in VDI environments).
• Issue: If the Forward Proxy is not configured to use the Cookie Surrogate, it may lead to inconsistent behavior. When different users log into the VDI server, their requests may not be associated with their specific user context, resulting in varying policy enforcement.
• Solution: Ensure that the Forward Proxy is properly configured to use the Cookie Surrogate, allowing consistent policy enforcement based on individual user identities. References:
• Netskope Security Cloud Operation & Administration (NSCO&A) - Classroom Training
• Netskope Security Cloud Introductory Online Technical Training
• Netskope Architectural Advantage Features

To allow access from company-managed devices running the Netskope Client to only Amazon S3 buckets owned by the organization, the following configuration satisfies the requirements:

• Steering Configuration:

• By configuring the policy to allow traffic from company-managed devices (Netskope Clients) to Amazon S3 buckets, the organization ensures that only buckets owned by the organization are accessible.
• The -ALLAccounts condition ensures that both existing and future buckets are allowed.
• This configuration aligns with the requirement to allow access to organization-owned buckets while blocking access to other buckets.

References:

• Netskope Cloud Security
• Netskope Solution Brief
• Netskope Community

When verifying that Google Drive traffic is being tunneled to Netskope using Chrome and the Netskope Client, you would expect to see log entries indicating that the traffic is being directed through Netskope’s proxy. Specifically, Option A is correct as it shows the process “google drive” being tunneled tonsProxy. The log entry for Option A indicates that a TLS tunneling flow from a local address and process (Google Drive) is being directed to a host(play.googleapis.com) and then to Netskope’s proxy (nsProxy).This is consistent with how Netskope tunnels specified traffic for security and policy enforcement1.

References: The expected log entries are based on the standard operation of Netskope Client and how it steers traffic to Netskope’s cloud services, as detailed in Netskope’s documentation1.

When merging two Advanced Analytics reports in Netskope, if the merged report is missing rows, it is likely due to viewing limits within the system. Netskope’s Advanced Analytics platform has limitations on the number of rows that can be viewed at once, which can result in missing data when dealing with large reports. This viewing limit ensures performance and manageability of the data within the system.

References: The behavior of data viewing limits in Netskope Advanced Analytics is discussed in the Netskope Knowledge Portal, which provides insights into how data is explored and managed within the platform1

When using IPsec tunnels, especially in the context of deploying Netskope for on-premises devices, several factors must be considered to ensure a secure and efficient architecture:

• Cipher support on tunnel-initiating devices (A): It is crucial to ensure that the devices initiating the IPsec tunnels support the ciphers used by Netskope. This compatibility is necessary for establishing secure connections.
• Bandwidth considerations (B): The bandwidth available for the IPsec tunnels will affect the data throughput and performance of the connection. Adequate bandwidth must be allocated to handle the expected traffic without causing bottlenecks.
• The impact of threat scanning performance (D): The performance of threat scanning can be affected by the encryption and decryption processes in IPsec tunnels. It is important to consider how the threat scanning capabilities will perform under the additional load of encrypted traffic.

These elements are essential for the successful implementation of IPsec tunnels in a Netskope architecture plan for on-premises devices12.

References: The considerations for using IPsec tunnels are outlined in the Netskope Knowledge Portal and Community discussions, which provide guidance on deployment and validation of IPsec tunnels, including cipher support, bandwidth management, and maintaining threat scanning performance

To accomplish the task of not steering specific domains to the Netskope Cloud while using the Explicit Proxy over Tunnel (EPoT) steering method, you woulddefine exception domains in the PAC file (A).This is because the PAC file is used to specify which domains should bypass the proxy and connect directly, thus allowing for granular control over the traffic that is steered to Netskope1.

References: The use of PAC files for steering exceptions is a standard practice in proxy configurations and is supported by Netskope’s EPoT steering method as outlined in their documentation1.

The remediation profile shown in the exhibit will take the action of isolating the endpoint. This is indicated by the “Isolate” option being checked under “TAKE ACTIONS” in the configuration settings.When this option is selected, the remediation profile is configured to isolate theendpoint upon detection of a threat, which is a common response to contain a potential security breach and prevent further spread of malware within the network1.

References: The Netskope Knowledge Portal provides detailed information on integrating CrowdStrike for EDR and the actions that can be taken by remediation profiles, including endpoint isolation1.Further details on the integration process and remediation actions can be found in the documentation provided by Netskope23.

When integrating a third-party Data Loss Prevention (DLP) engine that requires ICAP, the Netskope platform component that must be configured is the Netskope Adapter. The Netskope Adapter is designed to facilitate the integration of Netskope with various third-party tools and services, including DLP engines that use ICAP for communication. By configuring the Netskope Adapter, you can ensure that the third-party DLP engine can communicate effectively with the Netskope platform to provide comprehensive data protection.

References: This information is based on the integration capabilities of the Netskope platform, which includes the use of Netskope Adapters for third-party integrations as detailed in the Netskope Knowledge Portal1 and the Netskope Data Loss Prevention (DLP) documentation2

When using Netskope’s API-enabled Protection for supported SaaS applications, the valid instance types are:

• API Data Protection (B): This type is used to connect to cloud apps using APIs to find sensitive content, enforce policy controls, and quarantine malware1.
• DLP Scan (D): This instance type involves scanning for data loss prevention, which is a key component of Netskope’s API Data Protection1.
• Quarantine (E): This instance type allows for the isolation of potentially harmful or sensitive data until it can be reviewed or remediated1.

Behavior Analytics © and Forensic (A) are not listed as instance types for API-enabled Protection in the provided resources.

References: The answers are based on the information available in the Netskope Knowledge Portal and the documentation for Classic API Data Protection