Regulators are no longer asking whether you have an AI policy. They're asking whether you can prove governance is enforced — in production, at runtime, with documentation.
Take the AssessmentFrom underwriting models to claims automation, AI adoption in insurance is accelerating. But most carriers still rely on static policies and manual documentation — not runtime controls.
State regulators are now asking for evidence of AI governance during examinations — not just written policies.
The NAIC has issued guidance requiring insurers to demonstrate governance, risk management, and oversight of AI systems.
Executives and boards are personally accountable for AI risk. Audit committees need proof, not promises.
The NAIC framework establishes clear expectations for insurers deploying AI. Compliance requires demonstrable controls — not just documentation.
A formal governance framework with defined roles, oversight structures, and accountability for AI decisions across the organization.
Ongoing risk assessment and mitigation for AI models — including bias testing, fairness monitoring, and outcome validation.
Due diligence and continuous monitoring of AI vendors, model providers, and third-party tools used in insurance operations.
Comprehensive audit trails that demonstrate what AI decisions were made, how models performed, and what data was used — available on demand.
Most insurers have AI policies. Very few can prove enforcement. This is where regulatory risk lives.
The gap: Policies describe intent. Regulators demand proof. Without runtime enforcement, governance is theoretical.
Trussed provides the runtime governance layer insurers need — turning policy into provable enforcement across every AI interaction.
Trussed Control Plane
Every AI interaction is inspected and logged — providing continuous evidence of governance enforcement.
Configurable rules ensure compliance with NAIC requirements, blocking or flagging non-compliant AI behavior automatically.
Complete, immutable audit trails ready for regulatory examination — who used what model, with what data, and what happened.
Take the AI Governance Readiness Assessment to identify gaps in your compliance posture — before regulators do.
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