SSE-ENGINEER practice question 8 of 10
In addition to creating a Security policy, how can an AI Access Security be used to prevent users from uploading financial information to ChatGPT?
Full set: 50 questionsAI Access Security, a component of the Palo Alto Networks SSE solution, is designed to provide granular control and visibility into AI application usage. To prevent the exfiltration of specific data types, such as financial information, it integrates with Enterprise Data Loss Prevention (DLP). An administrator can configure an Enterprise DLP profile with predefined data patterns (e.g., credit card numbers, bank account numbers) or custom patterns. This DLP profile is then applied to the Security policy rule that allows access to ChatGPT. When a user attempts to upload content, the SSE solution inspects the data in transit, and if it matches the financial information patterns in the DLP rule, the upload is blocked.
A. Apply File Blocking to stop file uploads containing financial information. File Blocking operates based on file type (e.g., .pdf, .docx), not the sensitive content within the file.
C. Add the ChatGPT domains using URL Filtering to block uploads containing financial information. URL Filtering can block access to the entire ChatGPT service but cannot inspect and selectively block data within an upload.
D. Apply a vulnerability profile to stop attempts to exploit system flaws or gain unauthorized access to financial systems. Vulnerability Protection is designed to block known software exploits and does not inspect user data for sensitive content.
1. Palo Alto Networks, AI Access Security Solution Brief: "Prevent data leaks with our industry-leading Enterprise DLP, which can detect and stop sensitive data from being submitted to AI apps." (Palo Alto Networks, "AI Access Security," Solution Brief, Page 2, "Key Capabilities" section).
2. Palo Alto Networks, Enterprise Data Loss Prevention (DLP) Documentation: "Enterprise DLP helps you discover and protect sensitive data across your entire enterprise... and prevent exfiltration of sensitive data." The documentation details the creation of data patterns for financial data, which can be applied to security policies. (Palo Alto Networks TechDocs, "Enterprise Data Loss Prevention (DLP) Overview").
3. Palo Alto Networks, Prisma Access Administrator's Guide: The guide explains how to apply security profiles, including Data Loss Prevention profiles, to Security policy rules to inspect traffic for sensitive content. This is the mechanism used to enforce the policy. (Palo Alto Networks TechDocs, "Prisma Access Administrator's Guide," section on "Security Policy > Security Profiles").
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