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Security Pros Grapple With Ways to Manage GenAI Risk | Dark Reading Research

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While security professionals are generally enthusiastic about the potential role of generative AI in their organizations, they are also concerned about the impact these new tools can have in their environment. Dark Reading’s survey on the use of generative AI in the enterprise reveals a high degree of awareness and concern about the potential pitfalls of going all-in on this technology.

Nearly three-fourths of survey respondents express some concern about the security and safety risks posed by ChatGPT and other generative AI technologies. About the same number also believe employees are using public generative AI technologies for work purposes even if they are not fully authorized to do so.

A majority of respondents (86%) say the organization has to have appropriate risk management tools to maintain trust in the technology. However, there is some question on what strategies to use to mitigate risk, whether that is AI governance (43%), defining data guidelines and policy (42%), reviewing responses returned by generative AI to identify undesirable results (42%) and setting up an AI application security program (40%). A slight majority (57%) say there needs to be awareness training focusing on responsible AI practices.

One survey respondent says, “Wish those confounded young’uns could understand risk!”

While 30% of respondents say the responsibility for deploying and managing generative AI tools falls under IT in their organization, 17% say it is part of cybersecurity and 25% have a dedicated AI group. Even so, the ultimate responsibility for security and risk management for generative AI falls under cybersecurity for 27% of respondents, and under the dedicated AI group for 21% of the respondents.

While there was no clear majority when asked about the biggest challenges the organization faces in regard to generative AI security and risk management, the top four answers were: uncertainty about how regulatory compliance applies to generative AI (47%), no transparency in third-party generative AI tools (46%), no consensus on generative AI guidelines and policies (43%), and data governance (39%).

Learn more about what Dark Reading readers think about generative AI in the enterprise.

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