The Netskope Certified Cloud Security Integrator (NCCSI) (NSK200)

To deploy the Netskope client to all company users on Windows laptops without user intervention, you can use either SCCM or GPO. These are two methods of packaging the application and pushing it silently to the user’s device using Microsoft tools4. These methods do not require the user to have local admin privileges or to initiate the installation themselves. They also allow enforcing the use of the client through company policy. The Netskope client can authenticate the user using Azure ADFS as the identity provider, as long as the UPN of the logged in user matches the directory5

DTLS (Datagram Transport Layer Security) is a protocol that provides secure communication over UDP. It is an option that can be enabled in the client configuration settings in the Netskope tenant. Enabling DTLS can improve the performance of the Netskope client, especially in high latency or packet loss scenarios. DTLS is not related to Real-time Protection policies, SSL decryption policies, or steering configuration, which are different configuration elements in the Netskope tenant. References: Client Configuration Settings 3, Netskope Client Performance 4

To enable your users access to the application using NPA, you need to complete these two steps: B. Enable traffic steering for private applications and C. Create a Real-time Protection policy that allows your users to access the application. Traffic steering is the process of directing the user’s traffic to the Netskope cloud platform for inspection and policy enforcement. You need to enable traffic steering for private applications in your traffic steering profile to allow the Netskope client to tunnel the traffic to the private application through the Netskope cloud1. A Real-time Protection policy is a rule that specifies the actions and notifications that Netskope applies to the user’s traffic based on various criteria. You need to create a Real-time Protection policy that allows your users to access the private application by selecting the application name, the user group, and the allow action in the policy page2. Therefore, options B and C are correct and the other options are incorrect. References: Traffic Steering Profile - Netskope Knowledge Portal, Add a Policy for Real-time Protection - Netskope Knowledge Portal

Integrating with EDR vendors like Crowdstrike requires an API Client ID for authentication and data sharing. A remediation profile is also necessary to define automated actions that can be taken when threats are detected, ensuring effective response to endpoint threats​​.

Installing the Netskope client in " peruserconfig " mode allows for user-specific configurations on shared devices like those in a VDI environment. This mode enables Netskope to detect and report activities separately for each user, even if multiple users are logged into the same device​​.

When a policy flags a file to be quarantined, that file is placed in a quarantine folder and a tombstone file is put in the original location in its place. The quarantine folder is located in the Netskope data center assigned in the Quarantine profile. The Quarantine profile is configured in Settings > Threat Protection > API-enabled Protection. The quarantined file is zipped and protected with a password to prevent users from inadvertently downloading the file. Netskope then notifies the admin specified in the profile1. Therefore, option B is correct and the other options are incorrect. References: Quarantine - Netskope Knowledge Portal, Threat Protection - Netskope Knowledge Portal

Netskope’s REST API v2 provides access to various event types via URI paths. The event types include application, alert, infrastructure, audit, incident, network, and page. These event types can be used to retrieve data from Netskope’s cloud security platform. The event types client and user are not supported by the REST API v2. References: REST API v2 Overview, Cribl Netskope Events and Alerts Integration, REST API Events and Alerts Response Descriptions

To block any screenshots from being uploaded, the engineering firm should use the ML image classifier feature of Netskope DLP. This feature uses machine learning to detect sensitive information within images, such as screenshots, whiteboards, passports, driver’s licenses, etc. The firm can create a DLP policy that blocks any image upload that matches the screenshot classifier. This will prevent employees from circumventing the DLP controls by taking screenshots of sensitive documents. References: Improved DLP Image Classifiers, Netskope Data Loss Prevention, The Importance of a Machine Learning-Based Source Code Classifier

For DLP policies to detect sensitive data like credit card numbers, the data must contain valid credit card numbers as defined by the DLP pattern. Invalid or incorrectly formatted numbers will not trigger DLP policy hits​​.