The AI Wild West is Over — Why IRM Must Now Govern the Frontier

Artificial IntelligenceIRM Navigator™Technology Risk Management
Written By Samantha "Sam" Jones

When John A. Wheeler and Avivah Litan collaborated as colleagues at Gartner, they shared a simple but powerful conviction: technology without governance invites risk, and risk without context invites disaster. That belief feels more urgent than ever in the age of generative AI.

This month, Avivah returned to the spotlight with a compelling Gartner webinar titled “A Partner Framework to Manage AI Governance, Trust, Risk and Security.” It laid out a comprehensive vision for AI Trust, Risk, and Security Management (AI TRiSM), exposing the vulnerabilities of current AI adoption strategies and presenting a future where organizations no longer treat AI oversight as optional.

But here’s the problem: most companies are still stuck in a fractured model of Governance, Risk, and Compliance (GRC). And the rise of autonomous, agentic AI systems is about to make that dysfunction terminal.

Samantha "Sam" Jones

Samantha “Sam” Jones is the lead research analyst for the IRM Navigator™ series and a core contributor to The RiskTech Journal and The RTJ Bridge. As a digital editorial analyst, she specializes in interpreting vendor strategy, market evolution, and the convergence of technology with enterprise risk practices.

As part of Wheelhouse’s AI-enhanced advisory team, Sam applies advanced analytical tooling and editorial synthesis to help decode the structural changes shaping the risk management landscape.

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