--- sourceDocument: Brazil Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - brazil ft:locale : - en-US ft:publication_title : - Brazil Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Health tab # Health tab in AI Control Tower {#ariaid-title1} Release version: Brazil Updated September 10, 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 Health tab in AI Control Tower The Health tab in the AI Control Tower dashboard enables ServiceNow customers to monitor and evaluate the performance of offensive content and prompt injection guardrails enforced through AI Guardian on their AI assets. It provides real-time insights into guardrail effectiveness, latency impact, and occurrences of flagged content across selected skills and date ranges. Show full answer Show less ## Key Features * **Latency Monitoring:** Displays average latency caused by active offensive content and prompt injection guardrails, helping identify periods of increased guardrail activity. * **Content Flagging Metrics:** Shows the count and percentage of offensive content and prompt injection instances flagged in requests and responses involving the large language model (LLM) service. * **Skill-Based Analysis:** Breaks down occurrences of offensive content and prompt injection by specific AI skills, enabling targeted investigation and remediation. * **Category Breakdown:** Provides detailed categorization of offensive content occurrences, counting each instance separately if it falls under multiple categories (e.g., toxic, defamatory). * **Date Range Filtering:** Allows filtering guardrail activity data by skills within a specified date range for focused analysis. Note that historical data beyond the selected range is not considered. ## Practical Insights * By reviewing guardrail-added latency, customers can assess the performance impact of offensive content and prompt injection protections. * The dashboard helps quantify the effectiveness of AI Guardian guardrails by displaying the proportion of content flagged against total LLM usage. * Skill-specific visualizations enable customers to pinpoint which AI skills are most affected by offensive content or prompt injection attempts, facilitating proactive management. * Understanding categories of offensive content supports compliance and governance efforts by identifying the nature of flagged content. ## Expected Outcomes ServiceNow customers using the Health tab can expect enhanced visibility into the security and content integrity of their AI implementations. This enables timely detection of potentially harmful content, informed decision-making for tuning guardrails, and improved AI service reliability and compliance. 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://www.servicenow.com/docs/hdgQA7KQb7lcA0lXFO9xzg "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