Remove Intellectual Property Remove Management Remove Security
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The key to operational AI: Modern data architecture

CIO

People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.

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Overcoming data compliance and security challenges in the age of AI

CIO

In IT service and operations (ServiceOps), AI agents are providing assistance for in-context insights, incident response, change risk prediction, and vulnerability management. However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance.

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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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. The situation could become even more complex for multinational companies.

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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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EU taps AI experts to develop compliance framework for AI regulations

CIO

They will oversee four working groups, each focusing on different aspects of AI governance — transparency and copyright, risk identification and assessment, technical risk mitigation, and internal risk management for general-purpose AI providers. The code will outline exactly how companies can comply with the broad set of regulations.