Why Observability Decides AI in Production | Built to Scale: Secure AI Factory Ep. 2 (Observability)

Rajeev Khanolkar and Matt Locknane go inside the observability layer of Cisco’s Secure AI Factory: what AI observability actually means, and the three pillars that decide pilot vs. production: performance, security, and tokenomics.

What we get into:

– The 3 pillars of AI observability: performance, security, and tokenomics
– Splunk Observability Cloud across hardware, AI workloads, and RAG on a single dashboard
– Why public AI chatbots are quietly burning hundreds of thousands of dollars in tokens
– Security through an observability lens: denial of service and identity compromise
– How an on-prem Secure AI Factory turns invisible token spend into measurable ROI

Make sure to watch Episode 1 of Built to Scale: Secure AI Factory “The Stack”.