An organization is developing and implementing AI features into a customer service application. Which of the following practices should the organization put the place before releasing the…

The correct answer is A. Data masking and sanitization. Before releasing AI features for customer trials, it is critical to protect sensitive information that may be used during testing. Data masking and sanitization ensure customer or corporate data is anonymized or obfuscated, reducing the risk of data exposure while still…

Security Architecture and Tool Sets

Question

An organization is developing and implementing AI features into a customer service application. Which of the following practices should the organization put the place before releasing the application for customer trials?

Options

AData masking and sanitization
BExternal compliance audits
CApproved AI vendor lists
DThird-party risk management

How the community answered

(52 responses)

A
83% (43)
B
4% (2)
C
10% (5)
D
4% (2)

Explanation

Before releasing AI features for customer trials, it is critical to protect sensitive information that may be used during testing. Data masking and sanitization ensure customer or corporate data is anonymized or obfuscated, reducing the risk of data exposure while still allowing realistic evaluation of the AI system.

Topics

#AI security#data masking#PII protection#pre-release testing

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