PackagePublished package

@pasar6987/sf-shield-encryption

Name: Semantic model package @pasar6987/sf-shield-encryption
Creator: pasar6987

Data-at-rest encryption with tenant secrets, encryption keys, and field-level encryption policies.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 3 datasets / 2 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

3 datasets2 measures · 30 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

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Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated: Mar 11, 2026
Visibility: Public hub listing
License: MIT
Created: Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Domain

crm

Source

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-shield-encryption

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-shield-encryption")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-shield-encryption",
    datasets=["DataEncryptionKey", "Platform Encryption Event Type"],
    max_tokens=2000,
)

print(model.datasets)        # ["DataEncryptionKey", "Platform Encryption Event Type", "TenantSecret"]
print(model.measures)        # [Measure(name="DataEncryptionKey.Version", ...), Measure(name="TenantSecret.Version", ...)]
print(model.dimensions)      # [Dimension(name="CreatedBy", ...), Dimension(name="DataEncryptionKeyCertName", ...), Dimension(name="Description", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-shield-encryption

Data-at-rest encryption with tenant secrets, encryption keys, and field-level encryption policies.

Overview

	Count
Objects (Datasets)	3
Dimensions	30
Measures	2
Relationships	0

Objects

DataEncryptionKey — The DataEncryptionKey object is part of the Bring Your Own Key (BYOK) feature, which allows users to upload a data encryption key (DEK) using a public key generated by the Salesforce Shield Key Management Service (KMS). Customers create their own DEKs and upload them to Salesforce. Users access this entity via the API to list DEK keys for auditing purposes. They can also programmatically use this object to create the certificate and to upload key material.
Platform Encryption Event Type — Platform Encryption event contains information about tenant secret and derived encryption key usage.
TenantSecret — This object stores an encrypted organization-specific key fragment that’s used with the primary secret (KDF seed) to produce org-specific data encryption keys.

Install

rawctx snapshot-download @pasar6987/sf-shield-encryption

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1

datasets3

measures2

dimensions30

relationships0

AI context1

models/sf-shield-encryption.osi.yamlAI context included

3 datasets2 measures30 dimensions0 relationships