Inadvertently exposed sensitive and proprietary data continues to be a top concern for boards, management, and internal auditors. Now, as we are witnessing an exponential rise in the adoption of Generative AI, practically overnight, our internal audit community is presented with yet another new and potentially greater challenge: how do we, as an internal auditor community, provide guidance and assurance to management in their race to safeguard their most precious commodity – data - while still effectively harnessing the opportunities of AI for both the organization at large and the internal audit function?
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