
Artificial Intelligence
AI Observability Explained: Monitoring Models and Agents in Production
AI observability combines telemetry, evaluation, drift detection and incident response so teams can understand what models and agents do after deployment.
2 articles tagged with #responsible-ai

AI observability combines telemetry, evaluation, drift detection and incident response so teams can understand what models and agents do after deployment.

Prompt injection is a trust-boundary problem in AI applications. Learn how direct and indirect injections work conceptually, why tools and retrieval increase risk, and which defensive controls make systems safer.