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Implications of generative AI for enterprise security

CIO

Providing sensitive information to Generative AI programs such as personally identifiable data (PII), protected health information (PHI), or intellectual property (IP) needs to be viewed in the same lens as other data processor and data controller relationships. As such, proper controls must be in place.

Security 698
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Generative AI: 5 enterprise predictions for AI and security — for 2023, 2024, and beyond

CIO

From IT, to finance, marketing, engineering, and more, AI advances are causing enterprises to re-evaluate their traditional approaches to unlock the transformative potential of AI. The data privacy and security risks of AI applications themselves Not all AI applications are created equal. In general, they fall into two buckets: 1.

Security 813
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Microsoft and Cognizant team up to boost enterprise Copilot adoption

CIO

“CIOs will need to focus on aligning AI-driven solutions with broader business strategies, ensuring seamless integration into existing processes while addressing potential challenges like data security and ethical AI use. This reinforces the need for a responsible and ethical approach to using AI in business.”

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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. Generative AI

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IT Hardware Startups Turn to Data Analytics for Market Research

Smart Data Collective

Data analytics technology has been instrumentally valuable for the marketing profession. billion on marketing analytics within the next seven years. One of the biggest ways that data analytics is changing marketing is that it can help with marketing research. Identify market gaps where you can shine.

Startups 257
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How to kick-start your generative AI strategy

CIO

Among their biggest concerns: exposing intellectual property through publicly available generative AI models, revealing the personal data of users to third-party vendors or service providers, and securing the AI itself from criminal hackers. McAfee counters that such risks are manageable.

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4 ways CISOs can manage AI use in the enterprise

CIO

Since then, many CIOs I’ve spoken with have grappled with enterprise data security and privacy issues around AI usage in their companies. While new laws around AI are likely still far off, I think it’s the right move for federal agencies to start shaping AI regulation for the broader market.