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Implications of generative AI for enterprise security

CIO

But unlike human learning, the power of crowd-source data combined with the right information in Generative AI means that processing answers will be light years faster. The use of AI presents significant issues around sensitive data loss, and compliance. Information fed into AI tools like ChatGPT becomes part of its pool of knowledge.

Security 779
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Generative AI and the Transformation of Everything

CIO

Generative AI is an innovation that is transforming everything. Information loaded into it becomes data that any other subscriber has access. Another major concern is copyright infringement and intellectual property (IP). How much and in what ways is the subject of much discussion and controversy.

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Enabling productivity and scale through improved enterprise knowledge management

CIO

As the amount of knowledge generated within organizations continues to rise, firms must implement systems that make it easy for employees to find the information they need when they need it. Yet knowledge workers still spend a disproportionate amount of time searching for information. To read this article in full, please click here

Knowledge 616
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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

We see that the majority of AI/ML traffic is being driven by manufacturing, which may offer a glimpse into the rapid innovation and transformation driven by Industry 4.0. The release of intellectual property and non-public information Generative AI tools can make it easy for well-meaning users to leak sensitive and confidential data.

Security 835
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CIOs weigh where to place AI bets — and how to de-risk them

CIO

“By investing in the development of our full-time equivalents [FTEs] and equipping our technologists with the requisite expertise, we aim to minimize reliance on external consultants and maximize our ability to drive innovation from within,” says Nafde. Their challenge is to steer a middle course that yields bottom-line results.

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IT leaders grapple with shadow AI

CIO

Despite its immense promise, generative AI can expose sensitive and proprietary information to public view. That could lead to compromised intellectual property and regulatory penalties. Consequently, Parsons settled on the use of data-loss prevention (DLP) tools to prevent data exfiltration via generative AI.

IT 616
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The Importance of Cybersecurity in Digital Marketing

mention

A breach could expose customer information to bad actors who intend to use that data maliciously, and subsequently erode any trust or faith in your brand, not to mention cause legal issues and hefty regulatory fines. Cost savings – Data breaches cost companies an average of $4.45 million, according to IBM’s 2023 report.