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7 risk management rules every CIO should follow

CIO

Risks often emerge when an organization neglects rigorous application portfolio management, particularly with the rapid adoption of new AI-driven tools which, if unchecked, can inadvertently expose corporate intellectual property. Cybersecurity is now a multi-front war, Selby says.

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The key to operational AI: Modern data architecture

CIO

Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures. They support the integration of diverse data sources and formats, creating a cohesive and efficient framework for data operations.

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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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10 AI strategy questions every CIO must answer

CIO

He says even if no one can be 100% comfortable with the quality and quantity of the data fueling AI systems, they should feel confident that the quality and quantity are high enough for the use case, that the data is adequately secured, and that its use conforms to regulatory requirements and best practices such as those around privacy.

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Digital transformation 2025: What’s in, what’s out

CIO

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

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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

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