Whether AI risk is insured explicitly or inside existing policies, underwriters need the same thing: evidence of great AI governance.
The build vs. buy AI governance decision tends to surface at the same moment in most organizations: AI programs have grown past the point where informal oversight proves sufficient, a regulatory requirement or internal audit has raised the stakes, and leadership is asking what it will take to govern this at the scale the program now demands.
A strong AI governance program is one of the clearest predictors of AI ROI. Here's what the most prepared organizations have built and how they got there.
The NAIC AI evaluation tool pilot ends next month. Here is what the four exhibits require and what November's nationwide rollout means for your AI governance program.
AI governance ROI doesn't live in one calculation. Here are four approaches we’ve helped customers create, measuring efficiency, deployment speed, quality, and risk reduction.
SR 26-2 excludes generative and agentic AI from model risk management scope, leaving banks exposed. Learn how Monitaur's Common Controls and FlightSim close the gap.
We’re proud to share that Monitaur has been recognized as a Visionary in the inaugural Gartner® Magic Quadrant™ for AI Governance Platforms.
SB26-189 replaces Colorado's AI Act with new documentation, disclosure, and human review requirements for automated decision-making. What risk and compliance teams need to know.
The EU AI Act delay isn't a reprieve. Here's how insurers should use the 16-month runway to build defensible AI governance before December 2027.
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