Insurance regulators now expect a written AI program, testing for unfair discrimination, and oversight of third-party data and models. Asenion turns those expectations into operational controls your actuarial, compliance and security teams can run and evidence.
Schedule a Call30 minutes with our AI compliance team.
Few of these were written only for AI. All of them apply to it.
Adopted by the NAIC in December 2023 and since adopted by many state insurance departments.
For AI: A written AIS Program covering governance, risk management and internal controls across the AI lifecycle, including third-party AI systems and data.
Colorado's law against unfair discrimination from external consumer data and information sources (ECDIS), algorithms and predictive models.
For AI: Life insurers must run a governance and risk management framework and test ECDIS-driven models for unfairly discriminatory outcomes.
NYDFS guidance on using AI systems and external consumer data in underwriting and pricing.
For AI: Show that data and models are not proxies for protected classes, test for disparate impact, and hold vendors to the same standard.
AI used for risk assessment and pricing in life and health insurance is high-risk. Under the AI Omnibus, those obligations apply from December 2027.
For AI: Risk management, data governance, documentation, human oversight and a fundamental rights impact assessment before deployment.
OSFI's model risk guideline applies to federally regulated life and P&C insurers, effective May 1, 2027.
For AI: Pricing, reserving, claims and GenAI models need an inventory, a risk rating and governance across their lifecycle.
The AI use cases we see most often, and the requirements that follow them.
Third-party data and ML pricing models must be tested for proxy discrimination and documented well enough to support rate filings.
Models that route, flag or deny claims affect policyholders directly. They need human review paths, explainability and monitoring for unfair outcomes.
Assistants that explain coverage must not misstate policy terms, must disclose AI use and must protect nonpublic personal information.
Agents that update policies or process endorsements need least-privilege access, runtime guardrails and audit trails.
One set of controls, applied from model development through runtime, with evidence your actuaries, internal audit and examiners can rely on.
Start from Policy Packs for the NAIC Bulletin, Colorado SB21-169, NYDFS Circular Letter 7, the EU AI Act and OSFI E-23, mapped to your AIS Program.
Test underwriting, pricing and claims models for unfair discrimination and proxy variables, and GenAI assistants for hallucination and data leakage.
Apply context-aware controls to AI agents in production and capture tamper-resistant evidence of what happened, which controls applied and whether they worked.
In 30 minutes we'll map your AI use cases to the rules above, show the controls that apply, and outline the gaps in your AIS Program.
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