Shadow IT is any unauthorised use of technology within an organisation. The phenomenon arises when employees use applications, software or hardware that haven’t been cleared by their IT department.
It didn’t take long for enterprises to experience the widespread use of Generative AI (GenAI) among their employees. However, when it comes to GenAI risk, the tools known within your organization are ...
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 ...
Unapproved use of ChatGPT and other generative AI tools is creating a growing cybersecurity blind spot for businesses. As employees adopt these technologies without proper oversight, they may ...
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 ...
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 ...
Organizations across industries are actively investing in AI to streamline operations, boost productivity, and stay ahead in competitive markets. However, most proceed with caution when rolling out ...
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 ...
Shadow AI is rising in K–12 classrooms: Teachers and students are using unapproved AI tools that process sensitive academic, health, and financial data outside IT oversight. Unapproved tools increase ...
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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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