Despite AI transforming everything from fraud detection to ESG, most GRC teams are watching from the sidelines.
GRC: Regulating Everything—Except AI
Your Governance, Risk & Compliance function is built to manage risk.
But when it comes to AI?
Silence.
Surprise! AI Is Already Deep in GRC’s Backyard
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Detecting fraud in real-time
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Scanning third-party risk in seconds
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Monitoring ESG compliance across thousands of data points
…yet GRC isn’t leading the charge.
Who’s Deploying AI? Not GRC.
It’s data teams. Ops teams. Product.
AI is being embedded across the enterprise—with zero governance from GRC.
Why GRC Is Missing in Action
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No technical expertise in AI
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No mandate to govern AI risk
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Still using spreadsheets and checklists
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AI feels too “technical” to own
The Result? A Governance Black Hole
AI is making high-impact decisions:
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Hiring
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Lending
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Policing
Customer Service
…with no formal oversight, accountability, or risk controls.
GRC Needs a Seat at the AI Table
An effective AI strategy for GRC should include:
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AI risk frameworks
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Model review protocols
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Continuous monitoring
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Vendor model due diligence
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Ethical auditing
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GRC upskilling
This Isn’t a Future Problem—It’s a Now Problem
AI risk is happening in real-time.
Retrofitting governance later = too late.
If GRC Doesn’t Lead AI Governance—Who Will?
GRC teams were built to manage risk.
AI is the next frontier.
It’s time to rise to it.
(Final CTA)
Your Next GRC Priority?
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Build an AI governance roadmap.
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Embed oversight into AI initiatives.
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Train your team in AI risk.
Let’s stop regulating everything—except AI.
