Can AI Governance Platforms Help Manage Risks?

We’ve written before about the importance of governance in AI-related risk management. There are now new AI governance tools on the market that aim to assist decision makers in the governance process. AI governance platforms can aid in bias detection, policy automation, and performance monitoring for AI models. CIO recently discussed AI governance platforms and gave tips for companies looking to integrate these systems. They also offer evidence supporting governance platform adoption:

“Gartner has identified AI governance platforms as the second highest strategic trend for 2025. Organizations that use these tools will experience 40% fewer AI-related ethical incidents, it predicts. But the platforms still aren’t widely used yet — and it’s not because the tools are immature. ‘CIOs don’t want to invest in the tools because they’re having a hard enough time finding ROI in these applications,’ says Litan. Until now, security and risk management have been an afterthought.”

Of course, a governance platform is no substitute for human intervention and review, but they may assist in providing relevant data for humans to act on. There are many risks to rushing into AI implementation without developing AI policies and governance mechanisms. There’s no one-size-fits-all approach to governance, and governance models will depend largely on your organization’s specific needs and AI use cases. To the extent that these platforms can help streamline governance processes and provide useful data to decision makers, there may be a role for governance platforms in helping organizations enact and oversee their AI governance.