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AI & the enterprise: protect your data, protect your enterprise value

CIO

The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value.

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Overcoming data compliance and security challenges in the age of AI

CIO

However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance. Without proper data governance, transparency, and security, customer data, intellectual property, or other sensitive corporate information can be fed into LLM models, risking unintended data leakage.

Security 307
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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 467
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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 435
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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. ChatGPT’s pool of knowledge is essentially the whole of the Internet. That data leakage is the principal security concern regarding generative AI of enterprises today. At least, not yet.

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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 358
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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.