---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Data Discovery util AI agent

# Data Discovery util AI agent {#ariaid-title1}

Release version: Australia  
Updated August 14, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read
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![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of Data Discovery util AI agent

The Data Discovery util AI agent in ServiceNow Vault helps data stewards efficiently schedule and manage data discovery jobs.
It ensures users have the necessary roles, entitlements, and subscriptions before running discovery tasks.
The agent categorizes discovered data patterns into compliance groups aligned with regulatory and security requirements, enabling better data governance.
It also allows users to add and manage tags on data patterns to facilitate easier identification and classification in future discovery policies.
Show full answer Show less  

## Key Features

* **Permission and Conflict Validation:** Checks user roles and entitlements, stops if requirements are unmet, and prevents overlapping active discovery jobs.
* **Data Pattern Tagging and Classification:** Retrieves all data patterns, shows tagged patterns grouped by tag, and recommends classifications for untagged patterns using discovery grouping skills.
* **User Interaction for Tag Management:** Enables users to add patterns to existing or custom categories, assign multiple categories, and create tags to improve discoverability and organization.
* **Configuration Options:** Controls access for third parties and AI specialists, manages long-term memory of user interactions for contextual responses, and defines allowed user roles for secure access.
* **Integrated Tools and Scripts:** Supports validation scripts for roles, entitlements, conflicts, and AI services, plus tools for creating and managing tags and data pattern records.
* **Workflow and Channel Integration:** Can be configured as a Virtual Agent assistant or within the ServiceNow Otto panel and used in agentic workflows like the data discovery job scheduler.

## Key Outcomes

* Ensures compliance with regulatory and security standards by categorizing sensitive data effectively.
* Improves data stewardship through streamlined management of discovery jobs and pattern classifications.
* Enhances discoverability and organization of data patterns via customizable tagging.
* Provides secure, role-based access to discovery features and AI capabilities.
* Supports automation and user-driven customization within data discovery workflows for better operational efficiency.  
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 {#vault-data-discovery-util-agent-ai-agent__zsmdlwierhjt}

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.
{#vault-data-discovery-util-agent-ai-agent__ol_u5f_hnw_zjc}  
{#vault-data-discovery-util-agent-ai-agent__zsmdlwierhjt__entry__2}

| 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](https://www.servicenow.com/docs/MUqSU8rHp3ao~q3QEWgHkA "Find more information about user roles, tables, and the different properties that are installed in ServiceNow Otto AI agents."). |
| Tools | 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 |
| 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](https://www.servicenow.com/docs/NXqRJBQV_Vw00FEzklcAJw "In the guided setup for an AI agent, add triggers to run the AI agent automatically when certain conditions are met."). |
| Channels | Configure an assistant for Virtual Agent or ServiceNow Otto panel using [Assistant Designer](https://www.servicenow.com/docs/access?context=configure-now-assist-va&version=australia&pubname=australia-conversational-interfaces&ft:locale=en-US). |
| Used in agentic workflows | Data discovery job scheduler workflow |
[Table 1. Configuration]

Learn more about ServiceNow Vault at [ServiceNow Vault](https://www.servicenow.com/docs/access?context=servicenow-vault-landing&version=australia&pubname=australia-platform-security&ft:locale=en-US).