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Implications of generative AI for enterprise security

CIO

The use of AI presents significant issues around sensitive data loss, and compliance. As it stands today, most Generative AI tools do not have concrete data security policies for user-provided data. Large learning models (LLMs) that back these AI tools require storage of that data to intelligently respond to subsequent prompts.

Security 669
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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

Zscaler Enterprises will work to secure AI/ML applications to stay ahead of risk Our research also found that as enterprises adopt AI/ML tools, subsequent transactions undergo significant scrutiny. The data privacy and security risks of AI applications themselves Not all AI applications are created equal.

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Sharing Responsibility for Data Security in the Cloud

CIO

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”.

Security 656
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Understanding the security shared responsibility model in an as-a-service world

CIO

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. The security-shared-responsibility model provides a clear definition of the roles and responsibilities for security.”

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Generative AI and the Transformation of Everything

CIO

The implications for enterprise security For most enterprises, the present moment is an educational process. That data leakage is the principal security concern regarding generative AI of enterprises today. Another major concern is copyright infringement and intellectual property (IP). At least, not yet.

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What are the main challenges CISOs are facing in the Middle East?

CIO

This continued emergence of cloud environments has greatly affected application development and their associated security architectures. Cloud environments by their nature often consist of rapid DevOps cycles eliminating the need for application developers to adequately maintain secure applications.

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

CIO

“We are proceeding cautiously because the rise of LLMs [large language models] presents a new level of data security risk,” he says. “We This ensures that none of our sensitive data and intellectual property are availed to an outside provider.” Their challenge is to steer a middle course that yields bottom-line results.