Carrier filings, state laws, agent coverage gaps — the research a buyer needs before AI work reaches production.
AI agents and shadow AI are creating uninsured liability across enterprises. A comprehensive analysis of how these technologies affect insurance coverage, carrier exclusions, and what companies should do before their next renewal.
The AI insurance market is bifurcating: companies with documented, governed AI deployments are insurable. Those without are facing exclusions, sublimits, and declining coverage. Here's what's driving the split — and what it means.
The Colorado AI Act takes effect in 2026. Most preparation focuses on compliance checklists. But the Act's real impact will be felt through underwriting: how carriers price AI risk, what documentation they require, and how that shapes renewal conversations nationwide.
As AI agents become standard enterprise infrastructure, the gap between what's deployed and what's insured is widening. Analysis of three critical insurance gaps and emerging coverage options.
Security controls and insurance readiness are not the same thing for AI agents. Analysis of where they overlap, where they diverge, and how to bridge the documentation gap.
Shadow AI is typically framed as a security concern. But the real exposure is on the insurance side: undocumented AI tools create liability that carriers can't see, can't price, and increasingly won't cover. Here's why the framing matters.
Most coverage of AI insurance exclusions oversimplifies the story. We've read every major filing — Verisk CG 40 47, Berkley PC 51380, Hamilton's sublimit approach. Here's what the actual form language tells you that the headlines don't.
How to categorize enterprise AI deployments by risk level — from internal knowledge queries to autonomous business execution — and what each category means for coverage.
A technical briefing on the standardized AI exclusion endorsements now available to carriers, their scope, and practical implications for enterprises using AI in their operations.