Artificial Intelligence and Cybersecurity Balancing Risks and Rewards 2025

Page 21 of 28 · WEF_Artificial_Intelligence_and_Cybersecurity_Balancing_Risks_and_Rewards_2025.pdf

While implementing controls will reduce the cyber risk exposure of the organization, some residual risks are likely to remain. Decision-making on the adoption of AI should be informed by consideration of these risks in light of the potential rewards. Clarity on the qualified opportunity facilitates decision-making on residual risk exposure. Leadership needs to acknowledge the residual risk, and make a decision on whether to accept it or refuse it. In a case of refusal, additional controls will need to be put in place. Threats are constantly evolving, so organizations will need to regularly review the steps outlined above to ensure they are properly positioned. These steps are meant to be an iterative process and not a one-time activity. Balancing residual risk against the potential rewards Repeat throughout the AI life cycleStep 6 Step 7 Artificial Intelligence and Cybersecurity: Balancing Risks and Rewards 21
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