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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. Yet failing to successfully address risk with an effective risk management program is courting disaster.

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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. From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI.

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10 AI strategy questions every CIO must answer

CIO

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. As part of that, theyre asking tough questions about their plans.

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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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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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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. It inspires awe and unease — and often both at the same time.

Security 467