--- 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 --- # Remediation compliance analysis AI agent # Remediation compliance analysis 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 Remediation compliance analysis AI agent The Remediation compliance analysis AI agent in ServiceNow's Unified Security Exposure Management provides detailed insights and SLA compliance statistics concerning remediation targets. It enables users to analyze compliance data broken down by attributes such as severity, assignment group, or configuration item (CI) class, helping organizations monitor and improve their remediation efforts effectively. Show full answer Show less ## Key Features * **Time Period and Grouping:** Users can specify the target year, month (defaulting to the previous month), and grouping attribute (defaulting to assignment group) for compliance statistics. * **Flexible Data Breakdown:** Options to re-run statistics grouped by CI class instead of assignment group. * **Comparative Analysis:** Generate side-by-side comparisons of compliance statistics between two different months to track trends or improvements. * **Highlight Highs and Lows:** Identify assignment groups or CI classes with the highest or lowest missed SLAs based on severity, pinpointing critical areas needing attention. * **Interactive Workflow:** The agent supports a follow-up loop to refine analysis or redirect queries outside its scope to other agents. * **Configuration Options:** Settings control third-party and AI specialist access, long-term memory usage for context, and user roles for secure access. ## Practical Use and Configuration This AI agent is designed for vulnerability analysts and administrators with designated roles ensuring secure and appropriate data access. Administrators can enable or disable third-party and specialist access and manage long-term memory for richer interaction context. The agent integrates with ServiceNow's Otto AI panel, facilitating seamless use within agentic workflows focused on vulnerability remediation status. ## Expected Outcomes * Enhanced visibility into remediation compliance metrics aligned with organizational SLAs. * Ability to drill down into compliance by relevant categories such as assignment groups or CI classes. * Improved decision-making through comparative monthly analyses and identification of critical compliance gaps. * Streamlined collaboration and workflow by routing queries appropriately within the AI agent framework. This Unified Security Exposure Management agent provides insights around remediation target compliance. It provides SLA or compliance statistics about remediation targets. The agent can break down these numbers by attributes such as severity, assignment group, or configuration class item class. ## Workflow {#usem-remediation-compliance-analysis-ai-agent__zsmdlwierhjt} 1. Extract the target year, month (defaults to previous month), and grouping attribute (defaults to assignment group) for the user query. 2. Retrieve compliance statistics for the specified time period and grouping. 3. After presenting results, offer three additional options: Break down by CI class : Re-run the statistics grouped by CI class instead of assignment group. Compare against another month : Generate a side-by-side comparison of statistics between two months. Identify highs/lows : Retrieve the full summary and extract which specific assignment groups or CI classes have the highest or lowest missed SLAs for a given severity. 4. Continue the follow-up loop until the user is finished or asks something outside this agent's scope (in which case, route to another agent). {#usem-remediation-compliance-analysis-ai-agent__ol_gsq_mdx_zjc} {#usem-remediation-compliance-analysis-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 : Generate comparison summary : Get full summary : Get remediation compliance statistics | | Allowed user roles The specific user roles that can access this AI agent. | sn_vul.vulnerability_analyst, sn_vul.vulnerability_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_vul_ai.read_rem_insights, sn_vul_ai.write_rem_insights | | 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 | Enable the AI agent for the ServiceNow Otto panel. | | Used in agentic workflows | Analyze vulnerability remediation status | [Table 1. Configuration] Learn more about Unified Security Exposure Management at [Unified Security Exposure Management (USEM)](https://www.servicenow.com/docs/access?context=unified-security-exposure-management-landing-page&version=australia&pubname=australia-security-management&ft:locale=en-US).