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Salesforce

AI-201 · Question #63

Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements. What should An Agentforce recommend to resolve the issue?

The correct answer is B. Configure data masking in the Einstein Trust Layer setup.. The Einstein Trust Layer is Salesforce's centralized security framework that governs how data is handled when interacting with LLMs - including data masking, toxicity detection, and audit logging. Data masking rules that determine which types of sensitive data (PII, financial inf

AI Features for Service (e.g., Einstein Bots, Next Best Action)

Question

Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements. What should An Agentforce recommend to resolve the issue?

Options

  • AEnable data masking for sandbox refreshes.
  • BConfigure data masking in the Einstein Trust Layer setup.
  • CAdd new data masking rules in LLM setup.

How the community answered

(55 responses)
  • A
    2% (1)
  • B
    95% (52)
  • C
    4% (2)

Explanation

The Einstein Trust Layer is Salesforce's centralized security framework that governs how data is handled when interacting with LLMs - including data masking, toxicity detection, and audit logging. Data masking rules that determine which types of sensitive data (PII, financial info, etc.) get redacted before being sent to an LLM are configured directly within the Einstein Trust Layer setup in Salesforce Setup. Option A (sandbox refresh masking) is unrelated to AI data privacy policies. Option C is incorrect because LLM setup does not contain data masking rule configuration - that responsibility belongs to the Trust Layer.

Topics

#AI Data Masking#Einstein Trust Layer#Data Privacy#AI Security

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