AI complexity: Being held responsible for trade secrets your meeting transcription service captured

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The employer promptly brought a federal trade secret theft case

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I was reading a LinkedIn post by Brian Levine. Here’s what it said.

After an AI company terminated an employee, it allegedly learned the employee had been transcribing work meetings using an automated transcription service which sent all of the transcribed information to the employee. See https://lnkd.in/eUFV2Ur4. The employer promptly brought a federal trade secret theft case and the Court issued a preliminary injunction requiring the former employee to return what he had allegedly taken, including the meeting minutes. https://lnkd.in/e4vS457g.

Brian Levine | LinkedIn | Cyberlaw

He goes on to talk about Shadow Vendors, something we in the industry know as Shadow IT. This is when end-users of software go out into the web and look for solutions to problems they have, don’t consult anyone, and start using it. It’s been a problem for the last 10 years or so, but AI leveled up this problem to critical. Employees storing corporate data into personal spaces is a big problem.

How can you deal with that? Is the solution putting controls on OAuth, application controls, device controls, or something else? Is the AI that shadow IT has started using compliance with the business regulatory needs?

It’s questions like these that we’re going to have to find answers to. Our NSITSP AI Roundtable, has been holding a series of webinars and online meetings to begin to address them. Make sure you don’t miss them. One day soon, cyber security in AI is going to raise its head with one of your clients and you need to be ready to help your client understand it.

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