You’ve heard of shadow IT: technology tools that users implement outside of official IT channels. Shadow AI is similar, comprising any AI tools that faculty, staff, students or even campus visitors ...

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 ...

Lacking formal AI risk frameworks allows shadow AI to proliferate unchecked, but a structured approach to governance can prevent dangerous blind spots.

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 ...

What is shadow AI and what can you do about it? Organizations across industries are actively investing in AI to streamline operations, boost productivity, and stay ahead in competitive markets.

Using lessons learned from shadow IT, organizations can ensure secure and strategic AI adoption in the era of shadow AI. By learning from shadow IT and adopting a proactive approach in the shadow AI ...

The rise of artificial intelligence over the past few years has shaken up the entire tech industry, and the enterprise cybersecurity industry is no exception: They’re suddenly dealing with shadow AI.

Shadow AI vs. Managed AIShadow AI is a visibility gap: It refers to any AI tool used by employees that the IT department doesn’t know about. Most companies have 10x more AI tools in use than they ...

Explores how Shadow AI drives DSPM and DLP in healthcare, outlining a practical approach to secure PHI, data flows, and governance.

Shadow AI is emerging as one of the top forms of shadow IT, a new 1Password report has revealed. The unauthorized use of AI tools was found to be the second-most prevalent form of shadow IT, ranking ...

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Embedding AI agents in ELNs and LIMS brings reasoning directly into research. Using validated tools and clear audit trails, ...