Control Evidence by Design: How To Oversee an AI You Can’t Watch in Real Time

This blog post argues that effective oversight of autonomous SOC/AI systems requires architecture that produces retraceable evidence and meaningful human control: (1) read-only investigations that collect and explain telemetry without acting, (2) approval-gated, risk-tiered actions with reversible, logged interventions, and (3) a per-incident chain of custody that serves as the audit record and enables mapping to regulatory controls (e.g., EU AI Act Article 14, DORA, NIS2). The author recommends evaluating agentic SOC platforms by reviewing closed incidents to verify what evidence was collected, what decisions were made, what actions occurred, and where human oversight intervened.