Integrating observability into AI-powered applications

AI powered applications are creating new security risks that sit at the intersection of observability, governance, and AI security. This webinar focuses on how visibility into AI models, APIs, and usage patterns helps organizations detect availability issues, prevent resource exhaustion, and maintain control over increasingly complex AI stacks.

The session shows how monitoring AI interactions supports security goals such as identifying shadow AI usage, reducing exposure to misuse, and protecting against costly abuse scenarios like token flooding or performance degradation. Attendees will see how tracking latency, throughput, and cost indicators strengthens both operational resilience and AI security, while supporting safer deployment and compliance as AI features move into production.