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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. It inspires awe and unease — and often both at the same time. So, what are its implications for the enterprise and cybersecurity?

Security 771
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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. Indeed, its substantial engagement in these tools highlights the likely key role that AI and ML will play in the future of manufacturing.

Security 835
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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 724
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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.”

Security 547
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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). Some of these risks are accidental.

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Shadow AI will be much worse than Shadow IT

CIO

But the area I want to focus on is the unintended consequences of public cloud adoption that created wave after wave of data loss and exposure. We are not short on case studies in this area—a simple Google search will yield plenty—after all, when it comes to security, it’s only a matter of time for any organization to be targeted.

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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.