Data Discovery util AI agent
This ServiceNow Vault agent assists data stewards in scheduling and managing data discovery jobs by verifying required roles, entitlements, and subscriptions. The agent categorizes discovered data patterns into compliance groups to support regulatory and security requirements. It also help user to add tags to data patterns on demand.
Workflow
- Check the user's permissions. Stop if role or entitlement is missing, and note the subscription status either way.
- Verify no active discovery job conflicts with the requested one. Stop if conflicts exist.
- Fetch all available data patterns and check which ones already have tags assigned, displaying them grouped by tag.
- For patterns without tags, use the discovery grouping skill to recommend classifications across sensitive data categories.
- Show tagged patterns first, then untagged patterns with their recommended categories.
- Prompt the user to add patterns to existing categories, create custom categories, and assign patterns across multiple categories.
- Offer to tag patterns so they're easier to find and assign in future discovery policies. Create tags as needed and associate patterns to them one by one.
|
Field |
Description |
|---|---|
|
Allow third party to access this AI agent |
When enabled, third-party AI agents can use this agent. This value is off (false) by default. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the External discoverable field. |
|
Allow AI specialists to access this AI agent |
When enabled, AI specialists can use this agent. This value is off (false) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs [sn_aia_agent_config] table on the Specialist enabled field. |
|
Manage long-term memory |
When enabled, all previous user interactions are used as context for the LLM. This value is off (false) by default. This setting is defined by the sn_aia.ltm.enable_long_term_memory system property. For more information, see ServiceNow Otto AI agents reference. |
|
Tools |
Check if tag is available Create data pattern record tag Create label entry for data patterns Data Discovery AI services validation script Data Discovery conflicting job validation script Data Discovery entitlement validation script Data Discovery role validation script Get available data pattern tags Get available data patterns
Discovery data pattern grouping skill |
|
Allowed user roles The specific user roles that can access this AI agent. |
sn_data_discovery.data_discovery_admin |
|
Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. |
sn_data_discovery.data_discovery_admin |
|
Triggers |
Optional. None defined by default. An admin can specify triggers if desired. For more information, see Add a trigger to an AI agent. |
|
Channels |
Configure an assistant for Virtual Agent or ServiceNow Otto panel using Assistant Designer. |
|
Used in agentic workflows |
Data discovery job scheduler workflow |
Parent Topic:ServiceNow Vault AI agents
--- title: Data Discovery util AI agent description: This ServiceNow Vault agent assists data stewards in scheduling and managing data discovery jobs by verifying required roles, entitlements, and subscriptions. The agent categorizes discovered data patterns into compliance groups to support regulatory and security requirements. It also help user to add tags to data patterns on demand. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/intelligent-experiences/vault-data-discovery-util-agent-ai-agent.html release: australia topic_type: reference last_updated: "2026-09-10" reading_time_minutes: 2 breadcrumb: [ServiceNow Vault AI agents, ServiceNow Vault AI agents, AI agents library, AI agents and agentic workflows, Enable AI Experiences] --- # Data Discovery util AI agent This ServiceNow Vault agent assists data stewards in scheduling and managing data discovery jobs by verifying required roles, entitlements, and subscriptions. The agent categorizes discovered data patterns into compliance groups to support regulatory and security requirements. It also help user to add tags to data patterns on demand. ## Workflow 1. Check the user's permissions. Stop if role or entitlement is missing, and note the subscription status either way. 2. Verify no active discovery job conflicts with the requested one. Stop if conflicts exist. 3. Fetch all available data patterns and check which ones already have tags assigned, displaying them grouped by tag. 4. For patterns without tags, use the discovery grouping skill to recommend classifications across sensitive data categories. 5. Show tagged patterns first, then untagged patterns with their recommended categories. 6. Prompt the user to add patterns to existing categories, create custom categories, and assign patterns across multiple categories. 7. Offer to tag patterns so they're easier to find and assign in future discovery policies. Create tags as needed and associate patterns to them one by one. <table><thead><tr><th> Field </th><th> Description </th></tr></thead><tbody><tr><td> Allow third party to access this AI agent </td><td> When enabled, third-party AI agents can use this agent. This value is off \(false\) by default. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the External discoverable field. </td></tr><tr><td> Allow AI specialists to access this AI agent </td><td> When enabled, AI specialists can use this agent. This value is off \(false\) by default. When set to true, more configuration options for tools become available so that an AI specialist can map inputs and response templates to tool outputs. This setting is defined in the AI Agent configs \[sn\_aia\_agent\_config\] table on the Specialist enabled field. </td></tr><tr><td> Manage long-term memory </td><td> When enabled, all previous user interactions are used as context for the LLM. This value is off \(false\) by default. This setting is defined by the **sn\_aia.ltm.enable\_long\_term\_memory** system property. For more information, see [ServiceNow Otto AI agents reference](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/na-aia-reference.md). </td></tr><tr><td> Tools </td><td> - **Scripts** Check if tag is available Create data pattern record tag Create label entry for data patterns Data Discovery AI services validation script Data Discovery conflicting job validation script Data Discovery entitlement validation script Data Discovery role validation script Get available data pattern tags Get available data patterns - **Generative AI skills** Discovery data pattern grouping skill </td></tr><tr><td> Allowed user roles The specific user roles that can access this AI agent. </td><td> sn\_data\_discovery.data\_discovery\_admin </td></tr><tr><td> Data access roles The specific user identity roles that determine which data the AI agent can access and what actions it can take. </td><td> sn\_data\_discovery.data\_discovery\_admin </td></tr><tr><td> Triggers </td><td> Optional. None defined by default. An admin can specify triggers if desired. For more information, see [Add a trigger to an AI agent](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/add-trigger-aia.md). </td></tr><tr><td> Channels </td><td> Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/conversational-interfaces/configure-now-assist-va.md). </td></tr><tr><td> Used in agentic workflows </td><td> Data discovery job scheduler workflow </td></tr></tbody> </table>Learn more about ServiceNow Vault at [ServiceNow Vault](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/platform-security/servicenow-vault-landing.md). **Parent Topic:**[ServiceNow Vault AI agents](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/intelligent-experiences/vault-ai-agents-overview.md)
| title | Data Discovery util AI agent |
| description | This ServiceNow Vault agent assists data stewards in scheduling and managing data discovery jobs by verifying required roles, entitlements, and subscriptions. The agent categorizes discovered data patterns into compliance groups to support regulatory and security requirements. It also help user to add tags to data patterns on demand. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/australia/intelligent-experiences/vault-data-discovery-util-agent-ai-agent.html |
| release | australia |
| topic_type | reference |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | ServiceNow Vault AI agentsServiceNow Vault AI agentsAI agents libraryAI agents and agentic workflowsEnable AI Experiences |