What Happens When The Audit Cycle Moves Slower Than The Infrastructure?

Links to the full episode replay:

- YouTube: https://lnkd.in/eUs9XDqa
- Spotify: https://lnkd.in/evu5R-5N
- Apple Podcasts: https://lnkd.in/e65bt62f
In this short clip, Jasmine Kaur, Principal Security & Assurance Engineering at CoreWeave and ex-Google, explains why AI cloud environments create a different challenge for GRC and audit readiness.

She describes an AI training workload running on GPU-backed infrastructure, with identities, compute, capacity, network controls, storage, and other evidence sources all needing to be scoped and collected.

The problem is timing.

By the time the audit evidence was collected and the scope was finalized, the training job had already finished. The GPUs had returned to the pool. The identity had been revoked. The network paths and storage had been reconfigured for the next customer, model, or business need.

This clip is useful for people interested in Security GRC, AI cloud, audit readiness, ephemeral infrastructure, GPU-backed workloads, evidence collection, and why traditional audit processes struggle in fast-moving cloud environments.

Topics covered:
• Security GRC
• AI cloud
• Audit readiness
• Evidence collection
• Ephemeral infrastructure
• GPU-backed workloads
• Identity controls
• Network controls
• Cloud security
• GRC engineering

This clip is especially relevant for CISOs, GRC leaders, security assurance teams, cloud security teams, infrastructure teams, and compliance leaders working with AI-native products and services.
#SecurityGRC #GRC #GRCEngineering #AICloud #CloudSecurity #AuditReadiness #Cybersecurity #SecurityAssurance #Compliance #GPUComputing

Видео What Happens When The Audit Cycle Moves Slower Than The Infrastructure? канала ComplianceCow