--- 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 recommendation AI agent # Data Discovery recommendation AI agent {#ariaid-title1} Release version: Australia Updated August 14, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Summarize ![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 recommendation AI agent The Data Discovery recommendation AI agent in ServiceNow Vault assists customers by analyzing data discovery jobs across specified instance tables. It evaluates past discovery scans, identifies unscanned data patterns, and generates actionable scan recommendations to help optimize data discovery policies and scheduling. Show full answer Show less ## Key Features * Accepts a list of table names and checks for previous discovery jobs, including standard and attachment scans. * Determines which data patterns have been scanned and which remain unscanned, helping to prioritize discovery efforts. * Suggests appropriate scan types---Sample, Full, Incremental, or Attachment---based on scan history, data volume, and data change frequency. * Recommends scan frequencies (daily, weekly, monthly) aligned with previous job types. * Rates each table's risk exposure by assessing the presence of Personally Identifiable Information (PII) patterns. * Provides a consolidated, structured recommendation summarizing scan status, risk levels, suggested scan strategies, and next actions for all tables. * Configurable access controls allow enabling third-party AI agents, AI specialists, and management of long-term memory context for improved recommendations. * Integrates with Virtual Agent and ServiceNow Otto panel via Assistant Designer and supports agentic workflows such as the data discovery job scheduler workflow. ## Practical Use for ServiceNow Customers Customers can leverage this AI agent to automate and enhance their data discovery processes by: * Gaining insights into which tables and data patterns require scanning, reducing redundant scans and focusing on high-risk data. * Receiving tailored scan type and frequency recommendations to improve discovery efficiency and data governance compliance. * Utilizing risk ratings based on PII detection to prioritize sensitive data management. * Configuring agent access and integration points to fit organizational security and workflow needs. As a result, customers can expect streamlined data discovery management, improved data sensitivity awareness, and optimized scheduling of discovery jobs, facilitating better data governance and compliance within their ServiceNow environment. This ServiceNow Vault agent provides job info, findings, attributes, and related details for a list of tables provided. The agent also returns scan recommendations you can use to create policy and schedule the discovery job by another agent. ## Workflow {#vault-data-discovery-recommendation-agent-ai-agent__zsmdlwierhjt} The agent helps users complete tasks related to data discovery recommendation agent. 1. Take a list of instance table names from the user. 2. Check whether previous discovery jobs have run against those tables (standard or attachment scans). 3. Determine which data patterns have already been scanned and which remain unscanned across the provided tables. 4. Suggest an appropriate scan (Sample, Full, Incremental, or Attachment) based on whether previous jobs exist, data volume, and how frequently data changes. 5. Suggest daily, weekly, or monthly based on the previous job's run type. 6. Rate each table's risk based on the presence of PII patterns. 7. Display a single structured recommendation covering all provided tables: status, scanned/unscanned patterns, suggested scan type and frequency, sensitivity risk, and recommended next action. {#vault-data-discovery-recommendation-agent-ai-agent__ol_ts3_lrw_zjc} {#vault-data-discovery-recommendation-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 | Script : Get Attachment Data Discovery insights for tables : Get Discovery Insights for tables | | 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).