In the realm of Artificial Intelligence, Gartner predicts that by the year 2027, over 40% of data leaks will stem from the utilization of Generative AI in inappropriate cross-border activities such as transmission or exchange of data between countries without sufficient regulatory oversight. This is due to the lag in data and security regulations keeping pace with the rate of Generative AI usage.
Reports highlight the global AI standards gap, leading to inefficiencies in operations, compelling organizations to devise regional-specific strategies that restrict global expansion. By 2026, enterprises leveraging AI TRiSM can decrease inaccuracies or legal infractions in data usage by at least 50%, mitigating risks stemming from erroneous decision-making.
Looking towards 2027, regulatory oversight of AI is set to become a worldwide mandate to mitigate data leaks and regulatory breaches. Organizations failing to adapt promptly may face setbacks in the competitive landscape. In response, Gartner offers the following recommendations:
1. Enhance data oversight efficiency by scrutinizing cross-border data transfers.
2. Establish an AI governance committee to manage risks and ensure transparency.
3. Strengthen data security through advanced technologies like encryption and identity masking.
4. Invest in TRiSM products for trustworthy management of reliability, risk, and security.
TLDR: Gartner predicts a rise in data leaks from Generative AI usage, urging organizations to fortify data oversight, establish AI governance committees, enhance data security, and invest in TRiSM products to stay competitive in the evolving landscape.
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