Balancing generative AI cybersecurity risks and rewards

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CAMBRIDGE, MASS. — As AI tools and systems have proliferated across enterprises, organizations are increasingly questioning the value of these tools compared with the security risks they might pose.

At the 2024 MIT Sloan CIO Symposium this week, industry leaders discussed the challenge of balancing AI’s benefits with its security risks.

Since the introduction of ChatGPT in 2022, generative AI has become a particular concern. These tools have many use cases in business settings, from virtual help desk assistance to code generation.

“[AI] has moved from theoretical to practical, and I think that has raised [its] visibility,” said Jeffrey Wheatman, cyber-risk evangelist at Black Kite, in an interview.

McKinsey & Company partner Jan Shelly Brown helps companies in the financial sector and other highly regulated industries evaluate the risk profiles of new technologies. Increasingly, this involves AI integration, which can introduce both business value and unforeseen risks.

“The cybersecurity agenda, because technology is woven into every corner of the business, becomes super, super important,” Brown said in an interview.

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