Key Features

• Latency Monitoring: Tracks average latency added by active guardrails for offensive content and prompt injection attempts, helping identify periods of increased guardrail activity.
• Content Flagging Metrics: Displays the number and percentage of requests flagged for offensive content and prompt injections relative to total LLM interactions, offering insight into guardrail activity levels.
• Category Breakdown: Provides detailed categorization of offensive content occurrences, allowing you to understand the nature of flagged content across multiple categories if applicable.
• Skill-Based Analysis: Visualizes offensive content and prompt injection occurrences by specific skills over selected date ranges, enabling targeted investigation and remediation.
• Date Range Filtering: Allows you to apply filters to view guardrail activity for chosen skills within specific time periods to analyze trends and effectiveness.

Key Outcomes

• Gain real-time visibility into how guardrails affect AI performance and content safety.
• Identify which skills are most impacted by offensive content or prompt injection attempts to prioritize security efforts.
• Use latency insights to understand the performance trade-offs of active guardrails.
• Leverage detailed categorization to fine-tune guardrail settings based on the types of offensive content detected.
• Ensure your AI implementations comply with safety standards by proactively monitoring and managing guardrail effectiveness.