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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. Information fed into AI tools like ChatGPT becomes part of its pool of knowledge. These systems are like the processes of human learning.

Security 779
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2 Innovations That Can Tip the Balance in Cybersecurity

CIO

Army Major General and Vice President and Federal Chief Security Officer for Palo Alto Networks What critical innovations can change the balance in cybersecurity, providing those of us responsible for defending our organizations with more capabilities against those who would do us harm? They are: Innovations in automation.

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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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When your AI chatbots mess up

CIO

“Chatbots are almost like a living organism in that they are continually iterating, and as they ingest new data,” says Steven Smith, chief security architect at Freshworks. For engineers, AI-generated code used in software development may contain security vulnerabilities or intellectual property ingested during training.

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Generative AI and the Transformation of Everything

CIO

Generative AI is an innovation that is transforming everything. The implications for enterprise security For most enterprises, the present moment is an educational process. Information loaded into it becomes data that any other subscriber has access. Another major concern is copyright infringement and intellectual property (IP).

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4 ways CISOs can manage AI use in the enterprise

CIO

Over the summer, I wrote a column about how CIOs are worried about the informal rise of generative AI in the enterprise. Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. Government oversight All the recent innovation has certainly caught the U.S.

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Exploring the pros and cons of cloud-based large language models

CIO

However, cloud-native application development can pose significant security risks as developers are often dealing with exponentially more cloud assets across multiple execution environments. Filter Bypass: LLM tools are typically built with security filters to prevent the models from generating unwanted content.