Benchmark your production environment, identify vulnerabilities, and optimize your LLM architecture for robust AI security and cost control.
Diagnostics
Phase 1: Evaluate trace monitoring, cost per request, hallucination tracking, and PII anonymization.
Stack Matrix
Phase 2: Map priority gaps (P1–P3) using tools like LangSmith, Langfuse, LiteLLM, RAGAS, and Presidio.
Risk Prevention
Fix uncapped token leaks, compliance violations, and undetected hallucinations.