AI Assets Inventory API

concept australia Updated Sep 10, 2026 20 min read ai-assets-inventory-api.md
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The AI Assets Inventory APIs provide programmatic access to AI assets managed under the AI Control Tower application.

The AI Assets Inventory endpoints enable:

  • Listing assets filtered by asset class with optional filtering, pagination, and sorting.
  • Retrieving detailed information about a specific asset including its related assets.
  • Querying governance data such as lifecycle phase, risk classification, and assessments (when the GRC AI Governance plugin is active).

The AI Assets Inventory API requires the sn_ai_governance.integration.rest role and the AI Governance [sn_ai_governance] plugin to access it. The GET /details endpoint requires the AI Control Tower Core [sn_grc_ai_gov] plugin to be active for Governance, Risk, and Compliance (GRC) lookups.

This API belongs to the sn_ai_governance namespace.

See AI asset inventory for more information about managing AI assets inventory in the AI Control Tower.

Parent Topic:REST API reference

AI Assets Inventory - GET /api/sn_ai_governance/assets/{asset_class}

Retrieves a paginated list of AI governance records of a given asset class, with optional filters, sorting, and pagination.

Use this endpoint to:

  • Browse all AI assets of a specific class.
  • Filter assets by governance status, risk level, department, vendor, provider, etc.
  • Page through inventories for reporting purposes.

URL format

Versioned URL: /api/sn_ai_governance/{api_version}/assets/{asset_class}

Default URL: /api/sn_ai_governance/assets/{asset_class}

Supported request parameters

Name

Description

api_version

Optional. Version of the endpoint to access. For example, v1 or v2. Only specify this value to use an endpoint version other than the latest. Data type: String

asset_class

Required. Asset class table name. The value is matched against the Model Categories table, asset_class [cmdb_model_category.asset_class] field.Valid table values:

  • alm_ai_system_digital_asset: AI Systems (skills, agents, use cases)
  • alm_ai_model_digital_asset: AI Models
  • alm_ai_prompt_digital_asset: AI Prompts
  • alm_ai_dataset_digital_asset: AI Datasets

Data type: String

Name

Description

risk_classification

Filters results by the risk score of the AI asset. Supports comma-separated values.Valid values:

  • 1: High risk
  • 2: Medium risk
  • 3: Low risk
  • 4: Unacceptable risk
  • 5: To be determined (default for new records)
  • 6: Critical

Data type: String as an integer

lifecycle_status

Filters results by life cycle status of the AI asset.Valid values:

  • 1: In review
  • 2: Approved
  • 3: Rejected
  • 4: Deployed
  • 5: AI steward review
  • 6: Approved for development
  • 7: Ready for deployment
  • 8: Approved for deployment
  • 9: Canceled
  • 10: Offboarded

Data type: String

state

Filters results by the installation status of the AI asset. Values are instance-dependent. Refer to the install_status field's choice list on the cmdb_ci table in your instance to enumerate them. The platform default 'Installed' is typically value 1.Data type: String

asset_type

Filter by model category name or sys_id.Valid names:

  • AI System
  • AI Model
  • AI Prompt
  • AI Dataset
  • Generative AI
  • Agentic AI
  • Classic AI

These values are the canonical names referenced by the app and are stable across instances unless renamed.

Table: CMDB Model Category [cmdb_model_category] for name; AIGovernanceWsConstants.MODEL_CATEGORIES for sys_id.

Data type: String

lifecycle_phase

Filter by lifecycle phase name or sys_id.Valid name values:

  • Assess
  • New
  • Build and test
  • Build
  • Pre-deploy
  • Deploy
  • Offboard
  • Assess offboarding
  • Pre-offboarding

Note: Customer instances may add or rename these values. Refer to your instance's sn_ai_governance_lifecycle table.

Table: AI Governance Lifecycle [sn_ai_governance_lifecycle]

Data type: String

department

Filter by department name or sys_id.Table: Department [cmn_department]

Data type: String

managed_by

Filter by user_name or sys_id of the user managing the asset.Table: User [sys_user]

Data type: String

vendor

Filter by vendor company name or sys_id.Table: Core Company [core_company]

Data type: String

provider

Filter by provider/manufacturer name or sys_id (matched against the product model's manufacturer).Table: Core Company [core_company]

Data type: String

created_from

Display date format of the calling user's session.Format: YYYY-MM-DD

Data type: String

created_to

Display date format of the calling user's session.Format: YYYY-MM-DD

Data type: String

limit or sysparm_limit

Number of records to return. If limit is missing, less than 1, or non-numeric, the configured default is used. If limit exceeds the configured maximum, it's silently capped to the maximum (no warning).Minimum: 1

Maximum: 500

Default: 100

Data type: Integer

offset or sysparm_offset

Number of records to skip. If offset is missing or non-numeric, it's treated as 0; negative offsets are clamped to 0.Default: 0

Data type: Integer

sort_by

Field to sort by.Valid values:

  • risk_classification
  • lifecycle_phase
  • lifecycle_status
  • asset_type
  • department
  • managed_by
  • state
  • vendor
  • provider

Data type: String

Default: Filters by the sys_created_on table field (table: [sn_ai_governance_asset_governance_details]), descending (newest first).

order_by

Sort direction. Case-insensitive. Only applied when sort_by is provided and valid.Valid values:

  • asc: Ascending order
  • desc: Descending order

Default: asc

Data type: String
|Name|Description| |----|-----------| |None| |

Headers

The following request and response headers apply to this HTTP action only, or apply to this action in a distinct way. For a list of general headers used in the REST API, see Supported REST API headers.

Header

Description

Accept

Data format of the response body. Supported types: application/json or application/xml. Default: application/json
|Header|Description| |------|-----------| |None| |

Status codes

The following status codes apply to this HTTP action. For a list of possible status codes used in the REST API, see REST API HTTP response codes.

Status code Description
200 Successful. The request was successfully processed.

Response body parameters (JSON or XML)

Name

Description

sys_id

Sys ID of the governance record. Table: sn_ai_governance_asset_governance_details

asset_name

Display name of the underlying digital asset.Table/field: Asset [asset], display_name

asset_type

Name of the underlying asset's model category.Table/field: Asset Model Category [asset.model_category], name

created_on

Display value of the governance record's sys_created_on field.Table: sn_ai_governance_asset_governance_details
### Get All AI Systems

This example retrieves all AI systems in the given instance.

Shell
curl -X GET \   'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset' \   -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6",      "asset_name": "Customer Service Virtual Agent",      "asset_type": "AI System",      "created_on": "2025-06-18 12:00:00"    },    {      "sys_id": "b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7",      "asset_name": "HR Benefits Chatbot",      "asset_type": "Agentic AI",      "created_on": "2025-06-04 08:30:00"    },    {      "sys_id": "c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8",      "asset_name": "IT Incident Classifier",      "asset_type": "Classic AI",      "created_on": "2025-05-21 15:45:00"    },    {      "sys_id": "d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9",      "asset_name": "Fraud Detection System",      "asset_type": "AI System",      "created_on": "2025-05-07 10:00:00"    },    {      "sys_id": "e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0",      "asset_name": "Document Summarization Agent",      "asset_type": "Generative AI",      "created_on": "2025-04-23 17:20:00"    }  ]}

Get High-Risk AI Systems in Production

This example retrieves all AI Systems with a high-risk classification in the instance.

Shell
curl -X GET \ 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?risk_classification=1&state=1' \   -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1",      "asset_name": "Fraud Detection System",      "asset_type": "AI System",      "created_on": "2025-05-07 10:00:00"    },    {      "sys_id": "a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2",      "asset_name": "Credit Risk Scoring Engine",      "asset_type": "Classic AI",      "created_on": "2025-04-07 14:30:00"    }  ]}

Get AI Models with Pagination

The following example retrieves a paginated list of AI Model digital assets of max 50 records starting at the first record.

Shell
curl -X GET \   'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_model_digital_asset?limit=50&offset=0' \   -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d",      "asset_name": "GPT-4o Fine-tuned – Legal Review",      "asset_type": "AI Model",      "created_on": "2025-01-31 16:00:00"    },    {      "sys_id": "2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e",      "asset_name": "BERT Sentiment Classifier v2",      "asset_type": "AI Model",      "created_on": "2025-01-30 12:00:00"    },    {      "sys_id": "3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f",      "asset_name": "Whisper Speech-to-Text",      "asset_type": "AI Model",      "created_on": "2025-01-29 08:00:00"    }  ]}

Get AI Systems Created in a Date Range

This example retrieves all AI Systems created in Q1 2025 (January 1 – March 31) from the AI Governance inventory.

Shell
curl -X GET \   'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?created_from=2025-01-01&created_to=2025-03-31' \    -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a",      "asset_name": "Q1 2025 Sales Forecasting Agent",      "asset_type": "Generative AI",      "created_on": "2025-03-28 09:00:00"    },    {      "sys_id": "5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b",      "asset_name": "Compliance Monitoring System",      "asset_type": "AI System",      "created_on": "2025-02-27 11:30:00"    },    {      "sys_id": "6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c",      "asset_name": "Employee Onboarding Assistant",      "asset_type": "Agentic AI",      "created_on": "2025-01-26 20:00:00"    },    {      "sys_id": "7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d",      "asset_name": "IT Knowledge Base Search",      "asset_type": "Classic AI",      "created_on": "2025-01-01 04:00:00"    }  ]}

Get AI Prompts by Department and Vendor

This example retrieves all AI Prompts from the Engineering department associated with the Acme vendor from the AI Governance inventory.

Shell
curl -X GET \   'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_prompt_digital_asset?department=Engineering&vendor=Acme' \   -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e",      "asset_name": "Code Review Prompt Template",      "asset_type": "AI Prompt",      "created_on": "2025-06-18 12:00:00"    },    {      "sys_id": "9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f",      "asset_name": "Bug Triage Summarization Prompt",      "asset_type": "AI Prompt",      "created_on": "2025-05-21 15:45:00"    }  ]}

Get AI Systems Managed by a Specific User, Sorted by Department Descending

This example retrieves all AI Systems managed by Jane Smith from the AI Governance inventory, sorted by department in descending order.

Shell
curl -X GET \   'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?managed_by=jane.smith&sort_by=department&order_by=desc' \   -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a",      "asset_name": "Sales Lead Scoring Engine",      "asset_type": "Classic AI",      "created_on": "2025-05-07 10:00:00"    },    {      "sys_id": "1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b",      "asset_name": "Customer Service Virtual Agent",      "asset_type": "AI System",      "created_on": "2025-06-18 12:00:00"    },    {      "sys_id": "2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c",      "asset_name": "Code Generation Assistant",      "asset_type": "Generative AI",      "created_on": "2025-06-04 08:30:00"    }  ]}

Filter AI Models by Provider

This example retrieves all AI Models provided by OpenAI from the AI Governance inventory.

Shell
curl -X GET \   'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_model_digital_asset?provider=OpenAI' \   -u 'username:password' \   -H 'Accept: application/json'

Response body.

JSON
{  "result": [    {      "sys_id": "3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d",      "asset_name": "GPT-4o Fine-tuned – Legal Review",      "asset_type": "AI Model",      "created_on": "2025-06-18 12:00:00"    },    {      "sys_id": "4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e",      "asset_name": "GPT-4o Mini – Internal Q&A",      "asset_type": "AI Model",      "created_on": "2025-06-04 08:30:00"    },    {      "sys_id": "5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f",      "asset_name": "text-embedding-3-large",      "asset_type": "AI Model",      "created_on": "2025-04-23 17:20:00"    }  ]}

AI Assets Inventory - GET /api/sn_ai_governance/assets/{sys_id}/details

Retrieves comprehensive details about a specific AI governance record.

This endpoint retrieves the following record information for a single asset:

  • Basic asset information such as display name, asset class, asset type.
  • Life cycle phase and status, risk classification, state.
  • Related assets.
  • Governance, Risk, and Compliance (GRC) information (assessments, risks, issues, policy exceptions) when the sn_grc_ai_gov plugin is active.

URL format

Versioned URL: /api/sn_ai_governance/{api_version}/assets/{sys_id}/details

Default URL: /api/sn_ai_governance/assets/{sys_id}/details

Supported request parameters

Name

Description

api_version

Optional. Version of the endpoint to access. For example, v1 or v2. Only specify this value to use an endpoint version other than the latest. Data type: String

sys_id

Sys_id of the governance record to retrieve.Table: AI Asset Governance Details [sn_ai_governance_asset_governance_details]

Note: This isn't the sys_id of the AI Dataset Digital Asset [alm_ai_dataset_digital_asset] table.

Data type: String

Name

Description

include_risk_info

Optional. Flag that indicates whether to perform GRC plugin lookups, such as ai_assessments, risk_assessments, regulatory_risk_assessments, bulk_risk_assessments, control_assessments, issues, policy_exceptions, and risks. Has no effect when the sn_grc_ai_gov plugin is inactive.Valid values:

  • true: Enables the lookup. Missing values or any other value ('true', 'False', '0') enables the lookup.
  • false: (case sensitive) Skips the lookup operation.

Default: true

Data type: String
|Name|Description| |----|-----------| |None| |

Headers

The following request and response headers apply to this HTTP action only, or apply to this action in a distinct way. For a list of general headers used in the REST API, see Supported REST API headers.

Header

Description

Accept

Data format of the response body. Supported types: application/json or application/xml. Default: application/json
|Header|Description| |------|-----------| |None| |

Status codes

The following status codes apply to this HTTP action. For a list of possible status codes used in the REST API, see REST API HTTP response codes.

Status code

Description

200

Successful. The request was successfully processed.

400

Sys_id path parameter missing or empty. Provide a valid sys_id in the URL path.

401

Invalid or missing credentials. Check username/password or OAuth token.

403

Caller lacks the required role(s). Ensure the user holds the sn_ai_governance.integration.rest role.

404

Possible causes:

  • asset_class doesn't match any Model Categories table, asset_class [cmdb_model_category.asset_class] value. Use one of the four documented asset_class values.
  • No governance record exists for the given sys_id. Verify the sys_id is a row in the AI Asset Governance Details [sn_ai_governance_asset_governance_details] table.

500

Unhandled exception. For example, invalid date format. Check logs to verify date inputs use the calling user's session date format.
### Response body parameters \(JSON or XML\)

The top-level response shape is the same for all asset classes. The related_assets object structure varies by asset class. See the Related Assets section for response parameters categorized by class.

Name

Description

ai_assessments

GRC AI assessments associated with this asset. Empty array if the GRC plugin isn't active or include_risk_info is false.Data type: Array of Objects

Text

asset_class

Table name (sys_class_name) of the digital asset.Valid values:

  • alm_ai_system_digital_asset: AI Systems (sub_ai_systems, tools, ai_models, ai_prompts, evaluation_datasets, input_outputs, configuration_items, business_applications)
  • alm_ai_model_digital_asset: AI Models (derived_ai_models, training_datasets, evaluation_datasets, ai_systems, input_outputs, model_lineages, configuration_items, business_applications)
  • alm_ai_prompt_digital_asset: AI Prompts (ai systems)
  • alm_ai_dataset_digital_asset: AI Datasets (ai_systems, ai_models, parent_datasets, child_datasets)

Data type: String

asset_type

Display value of the asset's model_category.Data type: String

bulk_risk_assessments

GRC bulk risk assessments. Same conditions as ai_assessments.Data type: Array of Objects

Text
"bulk_risk_assessments": [ {  } ]

control_assessments

GRC controls.Data type: Array of Objects

Text
"control_assessments": [ {  } ]

display_name

Display name of the underlying digital asset.Data type: String

issues

GRC issues associated with this asset.Data type: Array of Objects

Text
"issues": [ {  } ]

lifecycle_phase

Life cycle phase of the asset.Data type: Object

Text
"lifecycle_phase": {  "sys_id": "String",  "name":   "String"}

lifecycle_phase.sys_id

Sys_id of the life cycle phase record.Table: AI Governance Lifecycle [sn_ai_governance_lifecycle]

Data type: String

lifecycle_phase.name

Display value of the life cycle phase record.Data type: String

lifecycle_status

Raw stored integer value of the status field on the governance record. This is the choice value, not the display label. Refer to the status field's choice list to enumerate values. Data type: String

policy_exceptions

GRC policy exceptions.Data type: Array of Objects

Text
"policy_exceptions": [ {  } ]

regulatory_risk_assessments

GRC regulatory risk classifications. Same conditions as ai_assessments.Data type: Array of Objects

Text
"regulatory_risk_assessments": [ {   } ]

related_assets

Related-asset groupings; structure depends on asset_class. returns different fields depending on the asset_class of the requested governance record. See the Related Assets section for associated parameters organized by asset type.Data type: Object

Text
"related_assets": [ {  } ]

risk_assessments

GRC risk assessments. Same conditions as ai_assessments.Data type: Array of Objects

Text
"risk_assessments": [ {  } ]

risk_classification

Display value of risk_score on the governance record.Possible values:

  • 1: High risk
  • 2: Medium risk
  • 3: Low risk
  • 4: Unacceptable risk
  • 5: To be determined (default for new records)
  • 6: Critical

Data type: String

risks

GRC risks.Data type: Array of Objects

Text
"risks": [ {  } ]

state

Install status on the linked digital asset. The serialized value reflects the raw integer (for example, 1), not the display label.Note: This differs from the state field inside related_assets items, which returns the display value.

Data type: String
### Related Assets

The related_assets object returns different fields depending on the asset_class of the requested governance record. Each table documents the fields returned for that asset class, along with the structure of each item in the returned array.

Note: For related assets that have a governance record,

  • sys_id is the governance record's sys_id (not the digital asset's sys_id),
  • name is the governance display value,
  • additional governance fields (risk_classification, lifecycle_status, lifecycle_phase, state) are included.

When no governance record exists, only the base fields are returned.

Name

Description

ai_models

AI Models referenced from the system's ai_models field.Data type: Object

JavaScript
ai_models: [  {    "sys_id": "String",    "name": "String",    "asset_class": "String",    "asset_type": "String",    // Governance fields (when record exists):    "risk_classification": "String",    "lifecycle_status": "String",    "lifecycle_phase": "String",    "state": "String"  }]

ai_prompts

AI Prompts referenced from the system's ai_prompts field.Data type: Object

JavaScript
ai_prompts: [  {   "sys_id": "String",   "name": "String",   "asset_class": "String",   "asset_type": "String",   // Governance fields (when record exists):   "risk_classification": "String",   "lifecycle_status": "String",   "lifecycle_phase": "String",   "state": "String"  }]

business_applications

Business applications mapped to this asset's product model via the Product Model Map [sn_apm_ws_ba_product_model_map] table. Returned only if that table exists in the instance.Data type: Object

Text
business_applications: [{ "sys_id": "String", "name": "String" }]

configuration_items

CIs related to this digital asset via the Asset-CI Relationship [cmdb_rel_asset_ci] table.Data type: Object

Text
configuration_items: [ {  "sys_id": "String",  "name":   "String" }]

evaluation_datasets

AI datasets referenced from the system's evaluation_datasets field.Data type: Object

JavaScript
evaluation_datasets: [  {    "sys_id": "String",    "name": "String",    "asset_class": "String",    "asset_type": "String",    // Governance fields (when record exists):    "risk_classification": "String",    "lifecycle_status": "String",    "lifecycle_phase": "String",    "state": "String"  }]

input_outputs

Input/output specifications for this system.Table/field: AI Input Output [sn_ent_ai_input_output], Category [io_category]

Data type: Object

CSS
input_outputs: [  {    "sys_id": "String",    "name": "String",    "description": "String",    "io_type": "String",    "information_object": "String"  }]

sub_ai_systems

AI Systems registered as subcomponents of this system, sourced from the AI System Subcomponent Map [sn_ent_ai_system_subcomponent_m2m] table where ai_subcomponent_reference_table = alm_ai_system_digital_asset; this indicates that the field name ai_subcomponent_reference_table should be filled with the AI Asset tables.When a governance record exists for the related asset, the governance record's sys_id, name, and governance fields are included. When no governance record exists, only the base fields are returned.

Data type: Array of Objects

JavaScript
sub_ai_systems: [  {   "sys_id": "String",   "name": "String",   "description": "String",   "asset_class": "String",   // Governance fields (when record exists):   "risk_classification": "String",   "lifecycle_status": "String",   "lifecycle_phase": "String",   "state": "String"  }]

tools

Enterprise AI tools registered as subcomponents, sourced the AI System Subcomponent Map [sn_ent_ai_system_subcomponent_m2m] table where ai_subcomponent_reference_table = sn_ent_ai_tool; this indicates that the field name ai_subcomponent_reference_table should be filled with the tools tables.Data type: Array of Objects

JavaScript
tools: [  {    "sys_id": "String",    "name": "String",    "description": "String",    "asset_class": "String",    // Governance fields (when record exists):    "risk_classification": "String",    "lifecycle_status": "String",    "lifecycle_phase": "String",    "state": "String"  }]

Name

Description

derived_ai_models

AI Models whose base_model points to this model.Table: AI Model Digital Asset [alm_ai_model_digital_asset]

Data type: Array of Objects

Text
derived_ai_models: [  {    "sys_id": "String",    "name": "String"  }]

training_datasets

Datasets referenced from this model's training_datasets field.Table: AI Dataset Digital Asset [alm_ai_dataset_digital_asset]

Data type: Array of Objects

Text
training_datasets: [  {    "sys_id": "String",    "name":   "String"  }]

evaluation_datasets

Datasets referenced from this model's evaluation_datasets field.Table: AI Dataset Digital Asset [alm_ai_dataset_digital_asset]

Data type: Array of Objects

Text
evaluation_datasets: [  {    "sys_id": "String",    "name":   "String"  }]

ai_systems

AI Systems whose ai_models field contains this model.Table: AI System Digital Asset [alm_ai_system_digital_asset]

Data type: Array of Objects

Text
ai_systems: [  {    "sys_id": "String",    "name":   "String"  }]

input_outputs

Input/output specifications.Table: AI Input Output [sn_ent_ai_input_output] table, Category [io_category] field

Data type: Array of Objects

CSS
input_outputs: [  {    "sys_id": "String",    "name": "String",    "description": "String",    "io_type": "String",    "information_object": "String"  }]

model_lineages

Models of this type.Table: AI Model Lineage [sn_ent_ai_model_lineage], AI model digital asset [ai_model] column

Data type: Array of Objects

CSS
model_lineages: [  {    "sys_id": "String",    "dataset":  "String",    "activity": "String",    "training_procedure": "String",    "model_checkpoint_id": "String",    "user_group": "String",    "start_time": "String",    "end_time": "String"  }]

configuration_items

CIs related to this digital asset.Table: Asset-CI Relationship [cmdb_rel_asset_ci]

Data type: Array of Objects

Text
configuration_items: [  {    "sys_id": "String",    "name":   "String"  }]

business_applications

Business applications mapped to this asset's product model, if the Product Model Map [sn_apm_ws_ba_product_model_map] table exists in the instance.Data type: Array of Objects

Text
business_applications: [  {    "sys_id": "String",    "name":   "String"  }]

Name

Description

ai_systems

AI Systems whose ai_prompts field contains this prompt.Table: AI System Digital Asset [alm_ai_system_digital_asset]

Data type: Array of Objects

Text
ai_systems: [  {    "sys_id": "String",    "name":   "String"  }]

Name

Description

ai_systems

AI Systems whose evaluation_datasets field contains this dataset.Table: AI System Digital Asset [alm_ai_system_digital_asset]

Data type: Array of Objects

Text
ai_systems: [  {    "sys_id": "String",    "name":   "String"  }]

ai_models

AI Models whose training_datasets or evaluation_datasets field contains this dataset.Table: AI Model Digital Asset [alm_ai_model_digital_asset]

Data type: Array of Objects

Text
ai_models: [  {    "sys_id": "String",    "name":   "String"  }]

parent_datasets

Datasets referenced from this dataset's base_datasets field.Table: AI Dataset Digital Asset [alm_ai_dataset_digital_asset]

Data type: Array of Objects

Text
parent_datasets: [  {    "sys_id": "String",    "name":   "String"  }]

child_datasets

Datasets whose base_datasets field contains this dataset.Table: AI Dataset Digital Asset [alm_ai_dataset_digital_asset]

Data type: Array of Objects

Text
child_datasets: [  {    "sys_id": "String",    "name":   "String"  }]
### Get AI System details

Request to retrieve asset_class alm_ai_system_digital_asset details:

Shell
curl -X GET \  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4/details' \  -u 'username:password' \  -H 'Accept: application/json'

Response body:

JSON
{  "display_name": "Customer Service AI Assistant",   "asset_type": "Generative AI",   "asset_class": "alm_ai_system_digital_asset",   "lifecycle_status": "2",   "lifecycle_phase": { "sys_id": "lifecycle123", "name": "Production" },   "state": "1",   "risk_classification": "medium",   "related_assets": {     "sub_ai_systems": [       {         "sys_id": "govSub123",         "name": "FAQ Handler Sub-Agent",         "description": "Handles frequently asked questions",         "asset_class": "alm_ai_system_digital_asset",         "risk_classification": "low",         "lifecycle_status": "2",         "lifecycle_phase": "Production",         "state": "Active"       }     ],     "tools": [       {         "sys_id": "tool123",         "name": "Knowledge Base Search",         "description": "Searches internal knowledge base",         "asset_class": "sn_ent_ai_tool"       }     ],     "ai_models": [       { "sys_id": "govModel123", "name": "GPT-4",         "asset_class": "alm_ai_model_digital_asset", "asset_type": "Generative AI",         "risk_classification": "1", "lifecycle_status": "2",         "lifecycle_phase": "Production", "state": "Active" }     ],     "ai_prompts": [       { "sys_id": "govPrompt123", "name": "Customer Service Greeting Prompt",         "asset_class": "alm_ai_prompt_digital_asset", "asset_type": "Prompt" }     ],     "evaluation_datasets": [       { "sys_id": "govDataset123", "name": "CS Evaluation Dataset",         "asset_class": "alm_ai_dataset_digital_asset", "asset_type": "Dataset" }     ],     "input_outputs": [       { "sys_id": "io123", "name": "Customer Query",         "description": "Natural language customer question",         "io_type": "Input", "information_object": "Text" },       { "sys_id": "io456", "name": "AI Response",         "description": "AI-generated response to customer",         "io_type": "Output", "information_object": "Text" }     ],     "configuration_items": [       { "sys_id": "ci123", "name": "CS AI Assistant CI" }     ],     "business_applications": [       { "sys_id": "ba123", "name": "Customer Service Platform" }     ]   },   "ai_assessments": [],   "risk_assessments": [],   "regulatory_risk_assessments": [],   "bulk_risk_assessments": [],   "control_assessments": [],   "issues": [],   "policy_exceptions": [],   "risks": [] }

Get AI Model details (skip GRC data)

Request to retrieve asset_class alm_ai_model_digital_asset details:

Shell
curl "https://instance.servicenow.com/api/sn_ent/asset/ai_system/3b140397435a9210a63d00002fb8f2d7" \--request GET \--header "Accept:application/json" \--user "username":"password"

Response body:

JSON
{  "display_name": "GPT-4 Turbo",   "asset_type": "AI Model",   "asset_class": "alm_ai_model_digital_asset",   "lifecycle_status": "2",   "lifecycle_phase": { "sys_id": "lifecycle456", "name": "Production" },   "state": "1",   "risk_classification": "1",   "related_assets": {     "derived_ai_models": [       { "sys_id": "derived123", "name": "GPT-4 Turbo Fine-tuned for CS" }     ],     "training_datasets": [       { "sys_id": "train123", "name": "General Training Dataset" }     ],     "evaluation_datasets": [       { "sys_id": "eval123", "name": "Model Evaluation Dataset" }     ],     "ai_systems": [       { "sys_id": "sys123", "name": "Customer Service AI Assistant" }     ],     "input_outputs": [],     "model_lineages": [       {         "sys_id": "lineage123",         "dataset": "Training Dataset v2.0",         "activity": "Fine-tuning",         "training_procedure": "Supervised Learning",         "model_checkpoint_id": "checkpoint_42",         "user_group": "AI Team",         "start_time": "2026-01-10 08:00:00",         "end_time": "2026-01-12 18:30:00"       }     ],     "configuration_items": [       { "sys_id": "ciModel1", "name": "GPT-4 Turbo CI" }     ],     "business_applications": [       { "sys_id": "baModel1", "name": "AI Platform" }     ]   },   "ai_assessments": [],   "risk_assessments": [],   "regulatory_risk_assessments": [],   "bulk_risk_assessments": [],   "control_assessments": [],   "issues": [],   "policy_exceptions": [],   "risks": [] }

Get AI Prompt details

Request to retrieve asset_class alm_ai_prompt_digital_asset details:

Shell
curl -X GET \  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2/details' \  -u 'username:password' \  -H 'Accept: application/json'

Respone body:

JSON
{   "display_name": "Customer Greeting Prompt",   "asset_type": "AI Prompt",   "asset_class": "alm_ai_prompt_digital_asset",   "lifecycle_status": "2",   "lifecycle_phase": { "sys_id": "lifecycle789", "name": "Production" },   "state": "Active",   "risk_classification": "low",   "related_assets": {     "ai_systems": [       { "sys_id": "sys123", "name": "Customer Service AI Assistant" }     ]   },   "ai_assessments": [],   "risk_assessments": [],   "regulatory_risk_assessments": [],   "bulk_risk_assessments": [],   "control_assessments": [],   "issues": [],   "policy_exceptions": [],   "risks": [] }

Get AI Dataset details

Request to retrieve asset_class alm_ai_dataset_digital_asset details:

Shell
curl -X GET \  'https://instance.service-now.com/api/sn_ai_governance/v1/assets/d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1/details' \  -u 'username:password' \  -H 'Accept: application/json'

Response body:

JSON
{   "display_name": "Customer Service Evaluation Dataset",   "asset_type": "AI Dataset",   "asset_class": "alm_ai_dataset_digital_asset",   "lifecycle_status": "2",   "lifecycle_phase": { "sys_id": "lifecycle321", "name": "Production" },   "state": "Active",   "risk_classification": "low",   "related_assets": {     "ai_systems": [       { "sys_id": "sys123", "name": "Customer Service AI Assistant" }     ],     "ai_models": [       { "sys_id": "model123", "name": "GPT-4" }     ],     "parent_datasets": [       { "sys_id": "parent123", "name": "Base CS Dataset" }     ],     "child_datasets": [       { "sys_id": "child123", "name": "Extended CS Dataset v2" }     ]   },   "ai_assessments": [],   "risk_assessments": [],   "regulatory_risk_assessments": [],   "bulk_risk_assessments": [],   "control_assessments": [],   "issues": [],   "policy_exceptions": [],   "risks": [] }

Quick Command Reference

List all AI systems:

Shell
curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset' -u 'user:password'

Get high-risk assets:

Shell
curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?risk_classification=1' -u 'user:password'

Get asset details (skip GRC data):

Shell
curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/{sys_id}/details' -u 'user:password'

Paginate results:

Shell
curl -X GET 'https://instance.service-now.com/api/sn_ai_governance/v1/assets/alm_ai_system_digital_asset?limit=100&offset=0' -u 'user:password'
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