‘You fix it by making the secure option just as fast and frictionless as the risky one’: Practical advice on…
AI’s timeline is very much still being written, but one thing is clear – companies are now in the midst of shifting from experimentation to widespread implementation after having determined strong use cases, with security and trust now becoming higher priorities.
The question is no longer about whether employees are willing to embrace AI, because that much is clear. It’s now about whether their employers know how AI tools are actually being used, whether they’re providing the right type of solutions, and whether their governance supports real-world use cases.
Off the back of that, companies are now struggling to tame shadow AI as workers go off to explore their preferred tools, rather than being confined to workplace-provided alternatives. But while organizations have years of experience handling shadow IT, shadow AI is presenting new challenges.
Shadow AI is harder to tame than Shadow IT – gaining visibility is the first step
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