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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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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. Things will get worse.

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Sweat the small stuff: Data protection in the age of AI

CIO

As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Its become ultra-important for CISOs to monitor LLM interactions, track protected source code in cloud repositories (repos), and prevent unauthorized AI indexing of intellectual property and other private data.

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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 467
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New trade body wants to license training data for AI use

CIO

Seven companies that license music, images, videos, and other data used for training artificial intelligence systems have formed a trade association to promote responsible and ethical licensing of intellectual property. These frameworks should identify, evaluate, and address potential risks in AI projects and initiatives.

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EU taps AI experts to develop compliance framework for AI regulations

CIO

This could force companies to share sensitive information, raising concerns over intellectual property and competitive advantage. Srinivasamurthy pointed out that key factors holding back enterprises from fully embracing AI include concerns about transparency and data security.

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Modern Network Security: How Technology and Smart Practices are Reducing Risk

CIO

For networking security leaders, too many blind spots in their network security operations means too many vulnerabilities. With the shift to hybrid work, data, applications, intellectual property, and personal information is no longer stashed safely behind a corporate firewall. Network Security