Most organisations cannot claim that their employees have never used generative AI or unapproved applications to enhance efficiency. Known as shadow AI and shadow IT, these practices are not acts of ...
From the beginning of the bring your own device (BYOD) movement and the increase of the millennial workforce, shadow IT has had an ever increasing impact on organizations. Just as the name suggests, ...
Enterprises have always faced the risk of a data breach, but today the threat has expanded by many magnitudes, in part due to the boom of generative AI tools. Gartner recently found that the number of ...
Right now, workplaces are filled with AI. From large language models to embedded assistants, these tools are everywhere. While headlines spotlight official rollouts like Microsoft Copilot at the ...
In an era of increased mobility, remote workforces and complex IT infrastructures, attackers exploit internal users more frequently. Consequently, organisations face risks from within, particularly ...
When generative AI first captured global attention, most headlines focused on innovation. In higher education, that same excitement is surging — but so is the risk. According to Educause's AI ...
Accompanying the increasing use of shadow IT—information technology tools and solutions that are specified, provided and/or supported by teams outside official IT departments—are a number of major ...
Enterprises grant nonhuman identities (NHI) with highly sensitive access, but monitoring and managing those privileges can prove challenging. Concerns will only grow as the NHI landscape continues its ...
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Shadow AI: the next frontier of unseen risk
AI is reshaping how we work, create, and make decisions, much like the internet did decades ago. From automating tasks to generating code and analyzing data, employees across industries are turning to ...
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