The Dark Side of Generative AI
Explore the risks of generative AI and discover strategies to safeguard your data while ensuring secure user behavior and decision-making.
The article discusses the potential risks and challenges associated with the use of generative AI, also known as Shadow AI. It highlights the similarities between Shadow AI and Shadow IT, emphasizing the need for organizations to establish centralized strategies and governance to protect their data. The article suggests three ways to reduce risk and protect data: establishing a centralized strategy, classifying data and use cases, and bringing AI to the data. It emphasizes the importance of user behavior and decision-making in ensuring the security of generative AI.
Original article: Shadow AI will be much worse than Shadow IT
Why customer tools are organized wrong
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Infrastructure shapes thought
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Dev reflection - February 14, 2026
So I want to talk about archiving. Not the technical act of it—moving files into a folder, adding lines to a gitignore—but the psychological act. The decision to say: this thing is done. Not broken...
It's going to take a century for artifical intelligence to be able to perform most human jobs. But there are going to be some key developments during the next decade.
Explore how AI will transform jobs in the next decade, from enhancing security to automating coding, reshaping the future of work.
Many businesses are not yet prepared to fully reap the benefits of AI.
Unlock AI's true potential for your business by integrating it into your strategy, boosting productivity, and enhancing customer experiences.
Rose-tinted predictions for artificial intelligence’s grand achievements will be swept aside by underwhelming performance and dangerous results.
Explore the reality of generative AI in 2024 as hype fades, revealing limitations, job displacement, and the need for regulation.