S
Transparency profile
Salesforce
Public documentation review covering Agentforce and the Einstein generative AI trust layer. Findings reflect the linked first-party sources as reviewed on 4 October 2026. Private and unlinked material was not assessed.
Category
AI Sales and Revenue Tools
Last reviewed
Oct 4, 2026
Confidence
Medium confidence
Evidence checks
12
Public AI Documentation Score
Moderate public documentation
Evidence-based documentation signal, based on public sources only.
Found6
Partial1
Not found0
Unclear / N/A5
- Source links
- 2
- Framework tags
- 0
- Profile status
- Published
This transparency profile is based on public evidence only. It does not certify, determine legal status, or assess private controls.
Evidence status summary
Found
6
Found evidence checks
Partial
1
Partial evidence checks
Not found
0
Not found evidence checks
Unclear
5
Unclear evidence checks
Not applicable
0
Not applicable evidence checks
Source-linked review
Evidence checks
Each row records the public documentation signal, source links, freshness, and thematic framework tags.
| Evidence check | Status | Summary | Sources | Last checked | Themes |
|---|---|---|---|---|---|
| AI-specific privacy/data handling statement | FoundMedium confidence | The trust layer describes masking, permission-aware grounding and retention controls. | Oct 4, 2026 | None recorded | |
| AI usage disclosure | FoundMedium confidence | The documentation describes generative AI and Agentforce architecture. | Oct 4, 2026 | None recorded | |
| Customer data training statement | FoundMedium confidence | Salesforce states that third-party model partners do not train on data processed through the trust layer. | Oct 4, 2026 | None recorded | |
| Framework references or governance alignment | UnclearLow confidence | The reviewed public sources do not establish this signal for Agentforce and the Einstein generative AI trust layer. This is a limit of the reviewed material, not a finding about private practices. | Oct 4, 2026 | None recorded | |
| Human oversight statement | FoundMedium confidence | The developer guide explains controls and auditability around agent operation. | Oct 4, 2026 | None recorded | |
| AI incident response statement | UnclearLow confidence | The reviewed public sources do not establish this signal for Agentforce and the Einstein generative AI trust layer. This is a limit of the reviewed material, not a finding about private practices. | Oct 4, 2026 | None recorded | |
| Model card/system card or equivalent | UnclearLow confidence | The reviewed public sources do not establish this signal for Agentforce and the Einstein generative AI trust layer. This is a limit of the reviewed material, not a finding about private practices. | Oct 4, 2026 | None recorded | |
| Model/provider disclosure | FoundMedium confidence | The trust layer documentation identifies external model services including OpenAI. | Oct 4, 2026 | None recorded | |
| Responsible AI/governance policy | FoundMedium confidence | The guide links Salesforce's generative AI principles. | Oct 4, 2026 | None recorded | |
| AI safety/testing/evals/red-teaming statement | PartialMedium confidence | The guide describes toxicity detection and safeguards; detailed evaluation results are outside this reviewed set. | Oct 4, 2026 | None recorded | |
| Security/trust centre availability | UnclearLow confidence | The reviewed public sources do not establish this signal for Agentforce and the Einstein generative AI trust layer. This is a limit of the reviewed material, not a finding about private practices. | Oct 4, 2026 | None recorded | |
| Subprocessor or AI vendor disclosure | UnclearLow confidence | The reviewed public sources do not establish this signal for Agentforce and the Einstein generative AI trust layer. This is a limit of the reviewed material, not a finding about private practices. | Oct 4, 2026 | None recorded |
Source list
Framework themes
No framework tags recorded.
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