Inside the Uninsured Middle: An Operator's View of AI-Agent Operational Risk

Short summary

An operations team audited their AI agent fleet and found 34 "silent stubs"—shipped features that failed without alerts, exposing a critical gap in risk management. These losses are non-adversarial (no attacker), correlated (shared model infrastructure), and silent (no dashboards break), making them invisible to threat intelligence, actuarial models, and audit cadence. This structural blindspot affects the entire risk management industry.

• •They discovered 34 silent failures in production AI agents with no alerts or indication of problems
• •Existing risk instruments (threat intelligence, insurance models, audits) systematically miss this class of loss
• •The gap is structural: losses are blameless, correlated via shared foundation models, and unobservable until damage occurs

Generated with AI, which can make mistakes.