Monitor every interaction with your LLM applications in real-time, detecting threats like prompt injections, PII exposure, toxicity, malicious guardrails, and jailbreaking.
Automatically enforce security measures to ensure continuous protection across all interactions.
3D Latent Space Visualization
Visualize LLM behavior in 3D, identifying patterns, clusters, and anomalies for quick root cause analysis.
Enhance model accuracy by analyzing decision pathways and clusters for a deeper understanding of model operations.
API Usage & Cost Tracking
Track real-time API usage and cost across users and departments, giving you full control over resource allocation.
Optimize resource allocation by identifying high-usage areas and adjusting your approach accordingly.
Concept & Data Drift Detection
Continuously detect data drift, ensuring that your models adapt to new information effectively.
Mitigate drift to maintain high accuracy as data patterns shift, ensuring reliable performance over time.
AI Summarization & Evaluation Metrics
Summarize user conversations and segments instantly using AI, making key insights accessible for faster decision-making.
Evaluate performance with evaluation metrics like accuracy, relevance, and sentiment to ensure LLM effectiveness.
TraceSteps for Model Debugging
Track each step in the LLM’s decision-making process to ensure better transparency and root cause analysis.
Use trace data to identify and resolve issues with retrieval systems and generation, improving overall performance.
