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NEW QUESTION # 55
Your customer is migrating all of their applications over to Microsoft 365 and Azure. They have good practices and policies in place (or their inline traffic, but they want to continuously detect reconfigurations and enforce compliance standards.
Which two solutions would satisfy their requirements? (Choose two.)
Answer: B,D
Explanation:
To continuously detect and enforce compliance standards for their Microsoft 365 and Azure applications, the customer needs to use Netskope SaaS Security Posture Management (SSPM) and Netskope Continuous Security Assessment (CSA). Netskope SSPM allows the customer to monitor, assess, and act on security, permission, and access related issues in their SaaS environment, such as Microsoft 365. Netskope SSPM continuously checks security posture by comparing SaaS app settings with security policies and industry benchmarks (CIS, PCI-DSS, NIST, HIPAA, CSA, GDPR, AIPCA, ISO, and more). It also provides visibility and control over third-party apps that are connected to the managed apps1. Netskope CSA allows the customer to discover, audit, and remediate misconfigurations in their IaaS environment, such as Azure.
Netskope CSA continuously monitors and audits cloud configurations against industry standards, CIS benchmarks, and regulatory frameworks. It also provides real-time inline protection to secure public clouds from threats and data loss2. Therefore, options A and D are correct and the other options are incorrect. References: SaaS Security Posture Management - Netskope, Public Cloud Security Solutions - Netskope
NEW QUESTION # 56
You are using the Netskope DLP solution. You notice that valid credit card numbers in a file that you just uploaded to an unsanctioned cloud storage solution are not triggering a policy violation. You can see the Skope IT application events for this traffic but no DLP alerts.
Which statement is correct in this scenario?
Answer: C
Explanation:
Explanation
The statement that is correct in this scenario is D. Credit card numbers are entered with a space or dash separator and not as a 16-digit consecutive number. This is one of the possible reasons why valid credit card numbers in a file are not triggering a policy violation by Netskope DLP. Netskope DLP uses data identifiers to detect sensitive data in files and network traffic. Data identifiers are predefined or custom rules that match data patterns based on regular expressions, checksums, keywords, etc1. The credit card number data identifier matches 16-digit consecutive numbers that pass the Luhn algorithm check2. If the credit card numbers are entered with a space or dash separator, such as 1234-5678-9012-3456 or 1234 5678 9012 3456, they will not match the data identifier and will not trigger a policy violation. To solve this problem, you can either remove the separators from the credit card numbers or create a custom data identifier that matches the credit card numbers with separators3. Therefore, option D is correct and the other options are incorrect. References: Data Identifiers - Netskope Knowledge Portal, Credit Card Number - Netskope Knowledge Portal, Create a Custom Data Identifier - Netskope Knowledge Portal
NEW QUESTION # 57
Your customer currently only allows users to access the corporate instance of OneDrive using SSO with the Netskope client. The users are not permitted to take their laptops when vacationing, but sometimes they must have access to documents on OneDrive when there is an urgent request. The customer wants to allow employees to remotely access OneDrive from unmanaged devices while enforcing DLP controls to prohibit downloading sensitive files to unmanaged devices.
Which steering method would satisfy the requirements for this scenario?
Answer: B
Explanation:
A reverse proxy integrated with their SSO would satisfy the requirements for this scenario. A reverse proxy intercepts requests from users to cloud apps and applies policies based on user identity, device posture, app, and data context. It can enforce DLP controls to prohibit downloading sensitive files to unmanaged devices. It can also integrate with the customer's SSO provider to authenticate users and allow access only to the corporate instance of OneDrive. The other steering methods are not suitable for this scenario because they either require the Netskope client or do not provide granular control over cloud app activities.
NEW QUESTION # 58
You want to allow both the user identities and groups to be imported in the Netskope platform. Which two methods would satisfy this requirement? (Choose two.)
Answer: A,C
Explanation:
Explanation
To allow both the user identities and groups to be imported in the Netskope platform, you can use either the System for Cross-domain Identity Management (SCIM) method or the Bulk Upload with a CSV file method.
Both of these methods allow for the import of user identities and groups from different identity providers (IdPs) that support SCIM or CSV formats. The SCIM method is recommended for large-scale deployments, as it automates the exchange of user identity information across apps for user provisioning. The CSV method is recommended for small-scale deployments, as it allows for manual upload of user details in a comma-separated values file. The other methods are not suitable for this requirement. The Manual Entries method does not allow for the import of groups, only user emails. The Directory Importer method does not import users and groups directly into the Netskope platform, but rather connects to an Active Directory or LDAP server and periodically fetches user and group information.
References: Provisioning Users for Netskope Client2, SCIM Integration3, Bulk Upload via CSV file
NEW QUESTION # 59
Review the exhibit.
A security analyst needs to create a report to view the top five categories of unsanctioned applications accessed in the last 90 days. Referring to the exhibit, what are two data collections in Advanced Analytics that would be used to create this report? (Choose two.)
Answer: A,C
Explanation:
To create a report to view the top five categories of unsanctioned applications accessed in the last 90 days, the security analyst would need to use two data collections in Advanced Analytics: Application Events and Network Events. Application Events provide information about the cloud applications and websites accessed by users, such as app name, app category, app risk score, app instance, app version, and more. Network Events provide information about the network traffic generated by users, such as source IP, destination IP, protocol, port, bytes sent, bytes received, and more. By combining these two data collections, the security analyst can filter the events by app category, app risk score, and time range to create a report that shows the top five categories of unsanctioned applications accessed in the last 90 days. Alerts and Page Events are not relevant for this report. Alerts provide information about the alerts triggered by Real-time Protection or API Data Protection policies, such as alert type, alert severity, alert status, alert description, and more. Page Events provide information about the web pages visited by users, such as page title, page URL, page category, page risk score, page content type, and more. References: Advanced Analytics
NEW QUESTION # 60
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