Traditional SIEM platforms excel at detecting network intrusions and OS-level threats, but they're fundamentally blind to attacks living in GPUs, BMCs, and out-of-band management planes. As AI/ML workloads scale, attackers increasingly exploit this hardware-layer blind spot to steal models, achieve persistent access via firmware implants, and maintain presence even after incident response.

This talk exposes what your SIEM is missing and provides a practical roadmap to close the gap. We'll cover GPU telemetry (DCGM), BMC logs (IPMI/Redfish), and out-of-band monitoring, why they matter for security, the challenges of integration (protocol chaos, network isolation, data volume), and a three-layer reference architecture (Collection → Normalization → Correlation) you can implement today.

Hardware-layer persistence is real. Your SIEM doesn't see it. Learn what you're missing.