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AI market evolution: Data and infrastructure transformation through AI

CIO

Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years.

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For startups, trustworthy security means going above and beyond compliance standards

TechCrunch

Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. When it comes to meeting compliance standards, many startups are dominating the alphabet. In reality, compliance means that a company meets a minimum set of controls.

Security 345
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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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Top 10 governance, risk, and compliance certifications

CIO

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. With companies increasingly operating on a global scale, it can require entire teams to stay on top of all the regulations and compliance standards arising today.

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AI as a catalyst for ESG: Empowering CIOs to drive sustainable innovation

CIO

In today’s fast-evolving business landscape, environmental, social and governance (ESG) criteria have become fundamental to corporate responsibility and long-term success. CIOs manage IT infrastructure and foster cross-functional collaboration, driving alignment between technological innovation and sustainability goals.

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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

As regulators demand more tangible evidence of security controls and compliance, organizations must fundamentally transform how they approach risk shifting from reactive gatekeeping to proactive enablement. They demand a reimagining of how we integrate security and compliance into every stage of software delivery.