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The key to operational AI: Modern data architecture

CIO

However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure. To succeed, Operational AI requires a modern data architecture. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.

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Securing AI Infrastructure for a More Resilient Future

Palo Alto Networks

Indeed, many of the same governments that are actively developing broad, risk-based, AI regulatory frameworks have concurrently established AI safety institutes to conduct research and facilitate a technical approach to increasing AI system resilience. Help prevent sensitive data leaks with comprehensive data classification capabilities.

Security 105
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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. What does the next generation of AI workloads need?

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AI’s data problem: How to build the right foundation

CIO

Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. Trusted, Governed Data The output of any GenAI tool is entirely reliant on the data it’s given.

Data 147
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2025 Middle East tech trends: How CIOs will drive innovation with AI

CIO

AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.

Trends 158
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IT leaders brace for the AI agent management challenge

CIO

Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Building trust through human-in-the-loop validation and clear governance structures is essential to establishing strict protocols that guide safer agent-driven decisions.

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Security is dead: Long live risk management

CIO

Just as building codes are consulted before architectural plans are drawn, security requirements must be established early in the development process. Security in design review Conversation starter : How do we identify and address security risks in our architecture? The how: Building secure digital products 1.