NSK200 Exam Dumps : Netskope Certified Cloud Security Integrator (NCCSI)

To reduce false positives by only triggering policies when contents of your customer database are uploaded to Dropbox, you can use two methods: Upload the .csv export to the Netskope tenant DLP rules section to create an exact match hash. This is a method that allows you to upload a file containing structured data, such as a customer database, to the Netskope tenant and generate a hash of the data. The hash is then used to match the data in the cloud traffic and trigger DLP policies. This method is suitable for files that are less than 10 MB in size. To upload the file, you need to go to Policies > Data Protection > DLP Rules and click on Exact Match Hashes. Then you can select the file from your local system and upload it. Use a Netskope virtual appliance to create an exact match hash. This is a method that allows you to create a file containing structured data, such as a customer database, and upload it to the Netskope cloud using a virtual appliance. The virtual appliance encrypts the file before uploading it and generates a hash of the data. The hash is then used to match the data in the cloud traffic and trigger DLP policies. This method is suitable for files that are larger than 10 MB in size. To create the file, you need to follow a specific format and save it as a .csv file. To upload the file, you need to use the request dlp-pdd upload command on the virtual appliance CLI. The other options are not valid methods for this task. You cannot use the Netskope client to upload the .csv export to the Netskope management plane DLP container, as this is not a supported feature of the client. You cannot send the .csv export to Netskope using a support ticket with the subject, “create exact match hash”, as this is not a secure or efficient way of creating an exact match hash. References: Create an Exact Match Hash from the UI1, Create an Exact Match Hash from a Virtual Appliance2

Netskope SaaS Security Posture Management (SSPM) is designed to automate the detection and remediation of security misconfigurations across SaaS applications, including GitHub, Microsoft 365, Salesforce, ServiceNow, and Zoom. SSPM provides visibility into and correction of misconfigurations to protect corporate data in cloud applications​.

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​​.