Salesforce Einstein · Salesforce Trusted AI Principles · View original document ↗

Data Masking Applied Before LLM Prompt Submission

High severity Medium confidence Explicitdocumentlanguage Common · 289 of 352 platforms
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This analysis describes what Salesforce Einstein's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology

ConductAtlas Analysis

Why it matters (compliance & governance perspective)

Data masking at the prompt stage means sensitive personal or business information is de-identified before it reaches the underlying LLM, limiting exposure of that data to the model.

Interpretive note: The excerpt defines data masking as a process but does not explicitly confirm it is always applied in all contexts or for all customers. The clause may be descriptive rather than a binding commitment.

Consumer impact (what this means for users)

Sensitive PII or proprietary business data in prompts is replaced with non-identifiable tokens before those prompts reach the LLM.

How other platforms handle this

Squarespace Medium

Each payment processor uses and processes your complete payment information in accordance with its applicable privacy policy (Stripe and PayPal).

Lime Medium

if you are accessing and using Lime Services under a corporate account...you acknowledge and agree that Lime may share certain of your usage information with whomever provided you with access to the Lime Services

Google Gemini Medium

Chats are disconnected from your account before being sent to service providers.

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▸ View Original Clause Language DOCUMENT RECORD
"
data masking is the process that replaces sensitive Personally Identifiable Information (PII) or proprietary business data with non-identifiable tokens before the prompt is sent to the LLM.

— Excerpt from Salesforce Einstein's Salesforce Trusted AI Principles

Applicable regulations

Connecticut Data Privacy Act Amendments
US-CT
Indiana Consumer Data Protection Act
US-IN
Kentucky Consumer Data Protection Act
US-KY
Universal Opt-Out Mechanism Expansion 2026
US

Provision details

Document information
Document
Salesforce Trusted AI Principles
Entity
Salesforce Einstein
Document last updated
May 12, 2026
Tracking information
First tracked
July 12, 2026
Last verified
July 12, 2026
Record ID
CA-P-073894
Document ID
CA-D-00818
Evidence Provenance
Source URL
Wayback Machine
Content hash (SHA-256)
c9bb51f7a29871aea2e399cd45ac7de48db93c4bdcfc153b82b72422b3556af6
Analysis generated
July 12, 2026 16:47 UTC
Methodology
Evidence
✓ Snapshot stored   ✓ Hash verified
Citation Record
Entity: Salesforce Einstein
Document: Salesforce Trusted AI Principles
Record ID: CA-P-073894
Captured: 2026-07-12 16:47:16 UTC
SHA-256: c9bb51f7a29871ae…
URL: https://conductatlas.com/platform/salesforce-einstein/salesforce-trusted-ai-principles/provision/CA-P-073894/data-masking-applied-before-llm-prompt-submission/
Accessed: July 13, 2026
Permanent archival reference. Stable identifier suitable for legal filings, compliance documentation, and research citation.
Classification
Severity
High
Categories

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Frequently Asked Questions

What does Salesforce Einstein's Data Masking Applied Before LLM Prompt Submission clause do?

Data masking at the prompt stage means sensitive personal or business information is de-identified before it reaches the underlying LLM, limiting exposure of that data to the model.

How does this clause affect you?

Sensitive PII or proprietary business data in prompts is replaced with non-identifiable tokens before those prompts reach the LLM.

How many platforms have this type of clause?

ConductAtlas has identified this type of provision across 289 platforms. See the full comparison.

Is ConductAtlas affiliated with Salesforce Einstein?

No. ConductAtlas is an independent monitoring service. We are not affiliated with, endorsed by, or sponsored by Salesforce Einstein.