--- sourceDocument: Yokohama Enable AI sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/yokohama/intelligent-experiences Release : - yokohama ft:locale : - en-US ft:publication_title : - Yokohama Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Health tab # Health tab in AI Control Tower {#ariaid-title1} Release version: Yokohama Updated August 11, 2025 ![](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 Health tab in AI Control Tower The Health tab in the AI Control Tower dashboard enables ServiceNow customers to monitor the performance and effectiveness of offensive content and prompt injection guardrails implemented via AI Guardian on their AI assets. This dashboard provides real-time insights into guardrail activity, latency impact, and flagged content without considering historical data unless filtered by date range and skill. Show full answer Show less ## Key Features * **Latency Monitoring:** Tracks average latency caused by active offensive content and prompt injection guardrails, highlighting periods of increased guardrail activity. * **Content Flagging Metrics:** Displays the count and percentage of requests flagged for offensive content or prompt injection relative to total interactions with the large language model (LLM) service. * **Skill-level Analysis:** Breaks down offensive content and prompt injection occurrences by specific AI skills, allowing targeted investigation. * **Offensive Content Categorization:** Presents offensive content occurrences by categories (e.g., toxic, defamatory), counting occurrences across multiple categories when applicable. * **Date Range and Skill Filters:** Allows filtering to assess guardrail activity within specific time frames and for selected skills to focus monitoring efforts. ## Practical Insights for ServiceNow Customers Using the Health tab, customers can: * Evaluate how effectively guardrails are detecting and mitigating offensive content and prompt injection attempts. * Understand the operational impact on response times due to guardrails by monitoring latency increases. * Identify which AI skills encounter the most guardrail triggers, enabling prioritization of remediation or tuning efforts. * Gain detailed visibility into the nature and volume of flagged content, supporting compliance and governance requirements. * Apply filters to analyze guardrail performance over defined periods and across specific AI capabilities for focused insights. Overall, the Health tab equips ServiceNow customers with actionable metrics to maintain safe, compliant, and performant AI interactions by continuously monitoring guardrail effectiveness. Monitor the performance of guardrails enabled through AI Guardian. The Health tab in the AI Control Tower dashboard helps you monitor and evaluate the effectiveness of offensive content and prompt injection guardrails active on your ServiceNow AI assets. Figure 1. Health tab in AI Control Tower The visualizations on the Health tab provide the following insights. * Average latency as a result of active offensive content and prompt injection guardrails. High latency could mean increased guardrail activity in the period. * Count and percentage of offensive content and prompt injection occurrences. * Skills where offensive content and prompt injection occurrences were detected. {#aict-health-tab__ul_ln1_nxr_bdc} The dashboard does not consider historical data for Health metrics. Apply the filters on the dashboard to view guardrail activity for skills in a date range. ## Content guardrail effectiveness {#aict-health-tab__section_ppy_ztz_ggc} Number of content items flagged : This area of the dashboard shows the number of offensive content and prompt injection occurrences in the selected date range. Figure 2. Number of content items flagged Percentage of content items flagged of total use : This area of the dashboard shows the percentage of requests and responses to and from the large language model (LLM) service that are flagged for offensiveness and prompt injection. Figure 3. Percentage of content items flagged of total use ## Offensive content visualizations {#aict-health-tab__section_rrj_y5z_ggc} Guardrail-added latency : This area of the dashboard shows the average latency as a result of the active offensive content guardrail for the selected skills and date range. Figure 4. Guardrail-added latency for offensiveness Percentage flagged as offensive : This area of the dashboard shows the percentage of requests and responses to and from the large language model (LLM) service that are flagged for offensive content. Figure 5. Percentage flagged as offensive Total offensive content occurrences : This area of the dashboard shows the total number of offensive content occurrences for the selected skills and date range. Figure 6. Total offensive content occurrences Categories of offensive content : This area of the dashboard shows a breakdown of offensive content occurrences by the categories. If content is deemed to be offensive under more than one category, for example, toxic and defamatory, the occurrence is counted individually toward both the categories. For more information on offensive content categories, see [AI Guardian](https://servicenow-prod.fluidtopics.net/H0bVbM_NdghPjzLAF~OnJg#now-assist-guardian "AI Guardian is built on the ServiceNow Small Language Model (SLM) and monitors generative AI interactions to detect offensive content, prompt injection attacks, and sensitive topics."). Figure 7. Categories of offensive content Offensive content occurrences by skill : This area of the dashboard shows the number of offensive content occurrences over time by the skills in which the content is detected. Figure 8. Offensive content occurrences by skill ## Prompt injection visualizations {#aict-health-tab__section_o3k_dvz_ggc} Guardrail-added latency : This area of the dashboard shows the average latency as a result of the active prompt injection guardrail for the selected skills and date range. Figure 9. Guardrail-added latency for prompt injection Percentage flagged as prompt injection : This area of the dashboard shows the percentage of requests and responses to and from the LLM service that are flagged for offensive content. Figure 10. Percentage flagged as prompt injection Total prompt injection occurrences : This area of the dashboard shows the total number of offensive content occurrences for the selected skills and date range. Figure 11. Total prompt injection occurrences Prompt injection occurrences by skill : This area of the dashboard shows the number of prompt injection occurrences over time by the skills where prompt injection attempts were detected. Figure 12. Prompt injection occurrences by skill